Qualitative Reasoning Group

Northwestern University

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Papers by Year

This is a partial collection of our group's research papers listed by year:

2023 | 2022 | 2021 | 2020 |2019 |2018 |2017 |2016 |2015 |2014 | 2013 | 2012 | 2011 | 2010 |2009 | 2008 | 2007 | 2006 | 2005 | 2004 | 2003 | 2002 | 2001 | 2000 | 1999 | 1998 | 1997 | 1996 | 1995 | 1994 | 1993 | 1992 | 1991 | 1990 | 1989 | 1988 | 1987 | 1986 | 1985 | 1984 | 1983 | 1982| 1981 |1980

2023 [back to the top]

Blass, J. (2023) Extracting and Applying Legal Rules from Precedent Cases. Ph.D. Dissertation, Computer Science Department, Northwestern University.

Blass, J. & Forbus, K. (2023) Analogical Reasoning, Generalization, and Rule Learning for Common Law Reasoning. Proceedings of ICAIL 2023.

Chen, K. (2023). Visual Understanding using Analogical Learning over Qualitative Representations. Ph.D. Dissertation, CS Department, Northwestern University.

Chen, K., Forbus, K., Srinivasan, B., Chhaya, N., & Usher, M. (2023). Sketch Recognition via Part-based Hierarchical Analogical Learning. Proceedings of IJCAI 2023, Macao, China.

Demel, W., Hancock, W., & Forbus, K. (2023). KNACK v2: Using Analogical Generalization over Qualitative Representations for Quantitative Estimation.Proceedings of the 36th International Workshop on Qualitative Reasoning Krakow, Poland.

Forbus, K. (2023) The Importance of Knowledge Bases for Artificial Intelligence in Science. In OECD, Artificial Intelligence in Science: Challenges, Opportunities, and the Future of Research. OECD Publishing, Paris. DOI: https://doi.org/10.1787/3aba9f4b-en

Forbus, K. (2023) Domain Theories for Commonsense Reasoning from Language-Grounded Ontologies. Proceedings of the 36th International Workshop on Qualitative Reasoning Krakow, Poland.

Olson, T. & Forbus, K. (2023) Mitigating Adversarial Norm Training With Moral Axioms. Proceedings of AAAI 2023.

Hancock, W., Demel, W., & Forbus, K. (2023). Incremental Analogical Learning with Qualitative Representations of Quantity.Proceedings of the 36th International Workshop on Qualitative Reasoning Krakow, Poland.

Nakos, C. & Forbus, K. (2023).Using Large Language Models in the Companion Cognitive Architecture: A Case Study and Future Prospects. AAAI Fall Symposium on Integrating Cognitive Architectures and Generative Models

Ribeiro, D. (2023). Reasoning and Structured Explanations in Natural Language via Analogical and Neural Learning. Ph.D. Dissertation, CS Department, Northwestern University.

2022 [back to the top]

Blass, J. & Forbus, K. (2022) The Illinois Intentional Tort Qualitative Dataset. Proceedings of the 35th International JURIX Conference on Legal Knowledge and Information Systems.

Blass, J. & Forbus, K. (2022) Conclusion-Verified Analogical Schema Induction. Proceedings of Advances in Cognitive Systems, 2022.

Forbus, K. (2022). Demo: How CogSketch uses Qualitative Representations and Analogy for Visual Reasoning and Learning. Proceedings of QR 2022.

Forbus, K., & Demel, W. (2022). Integrating QR Quantity Representations with the Semantic Web. Proceedings of QR 2022.

Nakos, C., Kuthalam, M., & Forbus, K. (2022) A Framework for Interactive Natural Language Debugging. Proceedings of Advances in Cognitive Systems

Olson, T. (2022). Towards Unifying the Descriptive and Prescriptive for Machine Ethics. Proceedings of the AAAI 2022 Spring Symposium on "Approaches to Ethical Computing Metrics for Measuring AIs Proficiency and Competency for Ethical Reasoning".

Rabkina, I. & Forbus, K. (2022). An Analogical Model of Pretense. Cognitive Science. 46(3), https://doi.org/10.111/cogs.13112.

2021 [back to the top]

Chen, K. & Forbus, K. (2021) Visual Relation Detection using Hybrid Analogical Learning. Proceedings of AAAI 2021.

Crouse, M., (2021). Question-Answering with Structural Analogy Ph.D. Dissertation, Computer Science Department, Northwestern University.

Crouse, M., Nakos, C., Abdelaziz, I. & Forbus, K. (2021). Neural Analogical matching. Proceedings of AAAI 2021

Crouse, M., Abdelaziz, I., Makni, B., Whitehead, S., Cornelio, C., Kapanipathi, P., Pell, E., Srinivas, K., Thost, V., Witbrock, M. & Fokoue, A. A Deep Reinforcement Learning Based Approach to First-Order Logic Theorem Proving.Proceedings of AAAI 2021

Forbus, K. (2021). Evaluating revolutions in artificial intelligence from a human perspective. In OECD, AI and the Future of Skills, Volume 1: Capabilities and Assessments, OECD Publishing, Paris. DOI:https://doi.org/10.1787/004710fe-en

Forbus, K. (2021). A Computational Perspective on Some Cognitive Illusions. Proceedings of the 9th Annual Conference on Advances in Cognitive Systems 2021.

Hinrichs, T., & Forbus, K. (2021). Operationalizing Tactical Representations. Proceedings of the 9th Annual Conference on Advances in Cognitive Systems 2021

Forbus, K. & Hinrichs, T. (2021). Resource models in Qualitative Decision-Making: A Proposal. Proceedings of the 34th International Workshop on Qualitative Reasoning

Forbus, K. & Lovett, A. (2021). Same/Different in Visual Reasoning. Current Opinion in Behavioral Sciences, 37:63-68, https://doi.org/10.1016/j.cobeha.2020.09.008

Hancock, W. & Forbus, K. (2021). Qualitative Spatiotemporal Represenations of Episodic Memory for Strategic Reasoning. Proceedings of the 34th International Workshop on Qualitative Reasoning

Olson, T. & Forbus, K. (2021). Learning Norms via Natural Language Teachings. Proceedings of the 9th Annual Conference on Advances in Cognitive Systems 2021.

Ribeiro, D. & Forbus, K. (2021). Combining Analogy with Language Models for Knowledge Extraction, Proceedings of the Third Conference on Automatic Knowledge Base Construction.

2020 [back to the top]

Chen, K., Forbus, K., Gentner, D., Hespos, S. & Anderson, E. (2020). Simulating Infant Visual Learning by Comparison: An Initial Model. In Proceedings of CogSci 2020, Online.

Chen, K., Huang, Q., Palangi, H., Smolensky, P., & Forbus, K. (2020). Mapping natural-language problems to formal-language solutions using structured neural representations. Proceedings of ICML 2020

Chen, K., Huang, Q., Smolensky, P., Forbus, K. & Gao, J. (2020). Learning Inference Rules with Neural Tensor Product Rules. Babymind workshop, NeurIPS 2020

Chen, K., Huang, Q., McDuff, D., Wang, J., Palangi, H., Gao, X., Li, K., Forbus, K., Gao, J. (2020). NICE: Neural Image Commenting Evaluation with an Emphasis on Emotion and Empathy. Human In The Loop Dialogue Systems Workshop, NeurIPS 2020>

Crouse, M., & Forbus, K. (2020). Towards High-Precision Understanding of Comparative Analysis Problems Expressed in Natural Langauge, Proceedings of the 33rd International Workshop on Qualitative Reasoning

Crouse, M., Abdelaziz, I., Cornelio, C., Thost, V., Wu, L., Forbus, K., & Fokoue, A. (2020) Improving Graph Neural Network Representations of Logical Formuale with Subgraph Pooling.. KDD Workshop on Deep learning on Graphs: Methods and Applications 2020.

Forbus, K. & Hinrichs, T. (2020). Unifying Instance-Level and Type-Level QP Frames for Natural Language Understanding, Proceedings of the 33rd International Workshop on Qualitative Reasoning

Forbus, K., Hinrichs, T., Crouse, M., and Blass, J. (2020). Analogy versus Rules in Cognitive ArchitectureProceedings of Advances in Cognitive Systems, 2020.

Hancock, W., Forbus, K., & Hinrichs, T. (2020). Towards Qualitative Spatitemporal Representations for Episodic Memory, Proceedings of the 33rd International Workshop on Qualitative Reasoning

Nakos, C., Rabkina, I., Hill, S., & Forbus, K. (2020) Corrective Processes in Modeling Reference Resolution. In Proceedings of CogSci 2020, Online.

Rabkina, I., Kathnaraju, P., Roberts, M., Wilson, J., Forbus, K., & Hiatt, L. (2020). Recognizing the Goals of Uninspectable Agents.. In Proceedings of AAAI Workshop on Plan, Activity, & Intent Recognition (PAIR). New York, NY.

2019 [back to the top]

Chen, K., Huang, Q., Palangi, H., Smolensky, P., Forbus, K., Gao, J. (2019). Natural- to Formal-language Generation using Tensor Product Representations. Best Paper Award, KR2ML Workshop NeurIPS 2019.

Chen, K., Rabkina, I., McLure, M., & Forbus, K. (2019) Human-like Sketch Object Recognition via Analogical Learning. AAAI 2019.

Forbus, K. (2019). Qualitative Representations: How People Reason and Learn about the Continuous World, MIT Press.

Forbus, K., Chang, M. Ribeiro, D., Hinrichs, T., Crouse, M., & Witbrock, M. (2019). Step Semantics: Representations for State Changes in Natural Language. Proceedings of the Reasoning for Complex Question-Answering Workshop, AAAI 2019, Honololu, HI.

Forbus, K., & Hinrichs, T. (2019). Qualitative Reasoning about Investment Decisions. Proceedings of the 32nd International Workshop on Qualitative Reasoning (QR 2019). Macao, China.

Hinrichs, T. and Forbus, K. (2019). Experimentation in a Model-Based Game. In Proceedings of the Seventh Annual Conference on Advances in Cognitive Systems. Cambridge, MA.

Hinrichs, T. and Forbus, K. (2019). How Qualitative Models can Improve Learning by Experimentation. Proceedings of the 32nd International Workshop on Qualitative Reasoning (QR 2019). Macao, China.

McLure, M. (2019) Toward Automated Sketching Collaborators: An Analogical Route. Ph.D. Dissertation, Computer Science, Northwestern University.

Rabkina,I. & Forbus, K. D. (2019). Analogical Reasoning for Intent Recognition and Action Prediction in Multi-Agent Systems. In Proceedings of the Seventh Annual Conference on Advances in Cognitive Systems. Cambridge, MA.

Rabkina,I., Nakos, C., & Forbus, K. D. (2019). Children's Sentential Complement Use Leads the Theory of Mind Development Period: Evidence from the CHILDES Corpus. In Proceedings of the 41st Annual Conference of the Cognitive Science Society. Montreal, Canada.

Rabkina,I., Nakos, C., & Forbus, K. D. (2019). Anticipatory Thinking in Multi-Agent Environments: The Role of Theory of Mind. In Proceedings of the AAAI Fall Symposium on Cognitive Systems for Anticipatory Thinking. Arlington, VA.

Ribeiro, D., Hinrichs, T., Crouse, M., Forbus, K., Chang, M., and Witbrock, M. (2019). Predicting State Changes in Procedural Text using Analogical Question Answering. In Proceedings of the Seventh Annual Conference on Advances in Cognitive Systems. Cambridge, MA. [Natural Language Semantics]

Rosenbloom, P. & Forbus, K. (2012). Expanding and Repositioning Cognitive Science. Topics in Cognitive Science, 918-927, DOI:10.1111/tops.12468.

Wilson, J., Chen, K., Crouse, M., C. Nakos, C., Ribeiro, D., Rabkina, I., Forbus, K. D. (2019). Analogical Question Answering in a Multimodal Information Kiosk. In Proceedings of the Seventh Annual Conference on Advances in Cognitive Systems. Cambridge, MA.

2018 [back to the top]

Chen, K. and Forbus, K.D. (2018). Action Recognition from Skeleton Data via Analogical Generalization over Qualitative Representations. Proceedings of AAAI 2018. [Analogy and Similarity]

Crouse, M., MFate, C.J., and Forbus, K.D. (2018). Learning from Unannotated QA Pairs to Analogically Disambiguate and Answer Questions. Proceedings of AAAI 2018. [Reasoning Techniques]

Crouse, M., McFate, C.J., & Forbus, K. (2018). Learning to Build Qualitative Scenario Models from Natural Langauge. Proceedings of QR 2018, Stockholm.

Forbus, K.D., Garnier, B., Tikoff, B., Marko, W., Usher, M. & Mclure, M. (2018). Sketch Worksheets in STEM Classrooms: Two Deployments. Deployed Application Prize paper. Proceedings of IAAI 2018. [Educational Software]

Forbus, K. & Hinrichs, T. (2018) Qualitative Reasoning for Decision-Making: A Preliminary Report. Proceedings of QR 2018.

Forbus, K., Hinrichs, T., & Rabkina, I. (2018). Building Analogy Systems: Some Lessons Learned. In Proceedings of the 6th Annual Conference on Advances in Cognitive Systems Stanford.

Friedman, S., Forbus, K., & Sherin, B. (2018). Representing, Running, and Revising Mental Models: A Computational Model. Cognitive Science, 1110-1145. DOI:10.1111/cogs.12574.

Hancock, W., Forbus, K., & Hinrichs, T. (2018). Optimizing Strategy Game Planning via Combining Analogical Learning with Function Learning In Proceedings of the 6th Annual Conference on Advances in Cognitive Systems. Stanford.

Liang, C. (2018) Integrating Machine Learning and Symbolic Reasoning: Learning to Generate Symbolic Representations from Weak Supervision Ph.D. Dissertation, Computer Science, Northwestern University

McFate, C. (2018) An Analogical Account of Argument Structure Construction Acquition and Application Ph.D. Dissertation, Computer Science, Northwestern University

Rabkina,I., McFate, C., & Forbus, K. D. (2018). Bootstrapping From Language in the Analogical Theory of Mind Model. In Proceedings of the 40th Annual Conference of the Cognitive Science Society.

2017 [back to the top]

Blass, J. & Forbus, K. (2017). Analogical Chaining with Natural Language Instruction for Commonsense Reasoning. Proceedings of AAAI 2017. [Analogy and Similarity] [Natural Language Semantics]

Forbus, K. D., Chang, M., McLure, M. & Usher, M. (2017). The Cognitive Science of Sketch Worksheets. Topics in Cognitive Science. DOI: 10.1111/tops.12262 [Analogy and Similarity] [Educational Software] [Sketch Understanding]

Forbus, K.D. & Hinrichs, T. (2017) Analogy and Qualitative Representations in the Companion Cognitive Architecture. AI Magazine. [Analogy and Similarity]

Forbus, K. D., Liang, C. and Rabkina, I. (2017). Representation and Computation in Cognitive Models. Topics in Cognitive Science. DOI:10.1111/tops.12277 [Analogy and Similarity] 

Hinrichs, T.R, and Forbus, K.D. (2017). Towards a Comprehensive Standard Model of Human-like Minds. AAAI Fall Symposium on a Standard Model of the Mind, Arlington, VA. [Position Papers and Commentaries]

Klenk, M., Mohan, S., de Kleer, J., Bobrow, D., Hinrichs, T. & Forbus, K. (2017). Collaborative Autonomy through Analogical Comic Graphs. AAAI 2017 Workshop on Human-Machine Collaborative Learning. [Analogy and Similarity]

Liang, C., Berant, J., Le, Q., Forbus, K., and Ni, L. (2017). Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision. Proceedings of ACL-2017, Vancouver, CA. [Natural Language Semantics]

Lovett, A. & Forbus, K.D. (2017). Modeling visual problem solving as analogical reasoning. Psychological Review, 124 (1): 60 DOI: 10.1037/rev0000039. [Analogy and Similarity]

McFate, C., & Forbus, K. (2017). A Proposal for Incorporating Analogically Learned Constructions in a Feature Based Parsing Framework. AAAI Spring Symposium. [Analogy and Similarity]

McFate, C.J., Klein, J. & Forbus, K. (2017). A Computational Investigation of Analogical Generalization of Linguistic Constructions. Analogy 2017. [Analogy and Similarity]

Rabkina, I., McFate, C., Forbus, K. D., & Hoyos, C. (2017). Towards a Computational Analogical Theory of Mind. In Proceedings of the 39th Annual Conference of the Cognitive Science Society (pp. 2949-2954). [Analogy and Similarity] 

2016 [back to the top]

Barbella, D. (2016). Analogy in Learning by Reading. Doctoral dissertation, Northwestern University, Department of Electrical Engineering and Computer Science, Evanston, Illinois. [Dissertation]. [Analogy and Similarity] [Learning by Reading]

Blass, J. A. & Forbus, K. D. (2016). Modeling Commonsense Reasoning via Analogical Chaining: A Preliminary Report. Proceedings of the 38th Annual Meeting of the Cognitive Science Society, Philadelphia, PA, August. [QR: Common Sense Reasoning]

Blass, J. & Forbus, K. (2016). Natural Language Instruction for Analogical Reasoning. Computational Analogy Workshop, International Conference on Case-Based Reasoning, Atlanta, GA. [Analogy and Similarity] [Natural Language Semantics]

Bredeweg, B. & Forbus, K. D. (2016). Qualitative Representations for Education. In R. Sottilare, A. Graesser, X. Hu, A. Olney, B. Nye, & A. Sinatra (Eds.), Design Recommendations for Intelligent Tutoring Systems: Domain Modeling, chapter 5: Adaptive Tutoring Volume 4 (pp. 57-68). Orlando, Florida: US Army Research Laboratory. [Qualitative Process Theory] 

Chang, M.D. (2016). Capturing Qualitative Science Knowledge with Multimodal Instructional Analogies. Doctoral dissertation, Northwestern University, Department of Electrical Engineering and Computer Science, Evanston, Illinois. [Dissertation]. [Analogy and Similarity] [Learning by Reading] [Sketch Understanding]

Crouse, M. and Forbus, K. (2016). Elementary School Science as a Cognitive System Domain: How Much Qualitative Reasoning is Required?. In Proceedings of the Fourth Annual Conference on Advances in Cognitive Systems. Evanston, IL. [QR: Common Sense Reasoning]

Forbus, K. D. (2016). Sketch Understanding for Education. In R. Sottilare, A. Graesser, X. Hu, A. Olney, B. Nye, & A. Sinatra (Eds.), Design Recommendations for Intelligent Tutoring Systems: Domain Modeling, chapter 20: Adaptive Tutoring Volume 4 (pp. 225-235). Orlando, Florida: US Army Research Laboratory. [Sketch Understanding] [Educational Software]

Forbus, K. (2016). Software Social Organisms: Implications for Measuring AI Progress.  AI Magazine, 37(1):85-90. [Companion Cognitive Systems]

Forbus, K. D., Ferguson, R. W., Lovett, A., and Gentner, D. (2016). Extending SME to handle large-scale cognitive modeling.  Cognitive Science, DOI: 10.1111/cogs.12377, pp 1-50. [Analogy and Similarity]

Kandaswamy, S. (2016). Comparison driven representational change. Doctoral dissertation, Northwestern University, Department of Electrical Engineering and Computer Science, Evanston, Illinois. (UMI no 10240810) [Dissertation] [Analogy and Similarity]

Liang, C., Paritosh, P., Rajendran, V., and Forbus, K. D. (2016). Learning Paraphrase Identification with Structural Alignment. Proceedings of IJCAI-2016. [Analogy and Similarity] [Natural Language Semantics]

McFate, C., and Forbus, K. (2016). An Analysis of Frame Semantics of Continuous Processes. Proceedings of the 38th Annual Meeting of the Cognitive Science Society, Philadelphia, PA, August. [Natural Language Semantics]

McFate, C., and Forbus, K. (2016). Analogical Generalization and Retrieval for Denominal Verb Interpretation. Proceedings of the 38th Annual Meeting of the Cognitive Science Society, Philadelphia, PA, August. [Analogy and Similarity] [Natural Language Semantics]

McFate, C., and Forbus, K. (2016). Scaling up Linguistic Processing of Qualitative Process Interpretation. Proceedings of the Fourth Annual Conference on Advances in Cognitive Systems. Evanston, IL. [Natural Language Semantics]

2015 [back to the top]

Barbella, D. and Forbus, K. (2015). Exploiting Connectivity for Case Construction in Learning by Reading.  Proceedings of the Third Annual Conference on Advances in Cognitive Systems. [Analogy and Similarity] [Learning by Reading]

Blass, J. and Forbus, K.D. (2015). Moral Decision-Making by Analogy: Generalizations vs. Exemplars. Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence,Austin, Texas. [Analogy and Similarity] [Social Reasoning]

Chang, M.D. and Forbus, K.D. (2015). Towards Interpretation Strategies for Multimodal Instructional Analogies. Proceedings of the 28th International Workshop on Qualitative Reasoning (QR2015). Minneapolis, MN. [Analogy and Similarity] [Educational Software]

Forbus, K. (2015). Analogical Abduction and Prediction: Their Impact on Deception. AAAI Fall Syposium Series. [Analogy and Similarity] [Social Reasoning]

Forbus, K., Barbella, D., McFate, C. (2015). Qualitative Reasoning for Learning by Reading: A Theoretical AnalysisProceedings of the 28th International Workshop on Qualitative Reasoning (QR2015). Minneapolis, MN. [Learning by Reading]

Hinrichs, T., and Forbus, K. (2015). Qualitative models for strategic planning. Proceedings of the 3rd Annual Conference on Advances in Cognitive Systems. [QR: Common Sense Reasoning]

Liang, C. and Forbus, K. (2015). Learning Plausible Inferences from Semantic Web Knowledge by Combining Analogical Generalization with Structured Logistic Regression. Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, Austin, Texas. [Analogy and Similarity]

McFate, C.J. (2015). An Analogical Approach to Learning Constraints on Non-canonical ConstructionsAdvances in Cognitive Systems Student Research Workshop, Atlanta, GA. [Analogy and Similarity]

McFate, C.J. and Forbus, K. (2015). Frame Semantics of Continuous Processes. Proceedings of the 28th International Workshop on Qualitative Reasoning (QR2015). Minneapolis, MN. [Natural Language Semantics] [Qualitative Process Theory] 

McLure, M.D., Friedman S.E. and Forbus, K.D. (2015). Extending Analogical Generalization with Near-Misses. Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, Austin, Texas. [Analogy and Similarity] [Conceptual Learning]

McLure, M.D., Kandaswamy, S. and Forbus, K.D. (2015). Finding Textures in Sketches using Planar Ising Models. Proceedings of the 28th International Workshop on Qualitative Reasoning (QR2015). Minneapolis, MN. [Sketch Understanding]

2014 [back to the top]

Chang, M.D. (2014). Analogy Tutor: A Tutoring System for Promoting Conceptual Learning via Comparison. Doctoral Consortium, Twenty-Eighth AAAI Conference on Artificial Intelligence, Québec City, Québec, Canada. [Analogy and Similarity] [Conceptual Learning] [Educational Software]

Chang, M. D. and Forbus, K. D. (2014). Using analogy to cluster hand-drawn sketches for sketch-based educational software. AI Magazine, 35(1), 76-84. [Analogy and Similarity] [Educational Software] [Qualitative Spatial Reasoning] [Sketch Understanding]

Chang, M. D., Wetzel, J. W., and Forbus, K.D. (2014). Spatial Reasoning in Comparative Analyses of Physics Diagrams. C. Freksa et al. (Eds.), Spatial Cognition 2014, LNAI 8684, pp. 268–282. [Qualitative Spatial Reasoning]

Forbus, K., (2014). Qualitative Reasoning: Computer Science and Software Engineering. In T. Gonzalez, J. Diaz-Herrera, & A. Tucker (Eds.), Computing Handbook, Third Edition: Computer Science and Software Engineering (pp. 35.1 - 35.121). Boca Raton, FL: CRC Press.

Hinrichs, T. and Forbus, K. (2014). X Goes First: Teaching a Simple Game through Multimodal InteractionAdvances in Cognitive Systems, 3:31-46. [Sketch Understanding]

Jee, B., Gentner, D., Uttal, D., Sageman, B., Forbus, K., Manduca, C., Ormand, C., Shipley, T., and Tikoff, B. (2014). Drawing on experience: How domain knowledge is reflected in sketches of scientific structures and processes. Research in Science Education. [Educational Software] [Sketch Understanding]

Kandaswamy, S., Forbus, K., and Gentner, D. (2014). Modeling Learning via Progressive Alignment using Interim Generalizations. Proceedings of the Cognitive Science Society. [Analogy and Similarity]

Liang, C. and Forbus, K. (2014). Constructing Hierarchical Concepts via Analogical Generalization.  Proceedings of the Cognitive Science Society. [Analogy and Similarity] [Conceptual Learning]

McFate, C.J., Forbus, K. and Hinrichs, T. (2014). Using Narrative Function to Extract Qualitative Information from Natural Language Texts. Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, Québec City, Québec, Canada.  [Natural Language Semantics] [Qualitative Process Theory]

Wetzel, J. (2014). Understanding and Critiquing Multi-Modal Engineering Design Explanations. Doctoral dissertation, Northwestern University, Department of Electrical Engineering and Computer Science, Evanston, Illinois. [Dissertation] [Educational Software] [Engineering Problem Solving] [Sketch Understanding]

2013 [back to the top]

Barbella, D. and Forbus, K. (2013). Analogical Word Sense DisambiguationAdvances in Cognitive Systems, 2:297-315. [Analogy and Similarity] [Learning by Reading]

Chang, M.D. and Forbus, K.D. (2013). Clustering Hand-Drawn Sketches via Analogical Generalization. Proceedings of the Twenty-Fifth Innovative Applications of Artificial Intelligence (IAAI-13), Bellevue, Washington. [Analogy and Similarity] [Educational Software] [Sketch Understanding]

Hinrichs, T.R. and Forbus, K.D. (2013). Beyond the Rational Player: Amortizing Type-Level Goal Hierarchies. ACS-13 Workshop on Goal Reasoning, December. [Reasoning Techniques]

Klenk, M., and Forbus, K. (2013). Exploiting persistent mappings in cross-domain analogical learning of physical domains. Artificial Intelligence, 195, pp. 398-417. [Analogy and Similarity] 

Lovett, A., and Forbus, K. (2013). Modeling spatial ability in mental rotation and paper-folding. Proceedings of the 35th Annual Conference of the Cognitive Science Society. Berlin, Germany, 930-935. [Qualitative Spatial Reasoning]

McFate, C.J., Forbus, K.D., and Hinrichs, T.R. (2013). Using Narrative Function to Extract Qualitative Information from Natural Language Texts: A Preliminary Report. Proceedings of the 27th International Workshop on Qualitative Reasoning, Bremen, Germany.  [Natural Language Semantics] [Qualitative Process Theory]

Sharma, A. and Forbus, K.D. (2013). Automatic Extraction of Efficient Axiom Sets from Large Knowledge Bases. Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence (AAAI-13), Bellevue, Washington.  [Reasoning Techniques] [Learning by Reading]

Sharma, A. and Forbus, K.D. (2013). Graph Traversal Methods for Reasoning in Large Knowledge-Based Systems. Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence (AAAI-13), Bellevue, Washington.  [Reasoning Techniques]

Wilson, J.,  Forbus, K., and McClure, M. (2013). Am I Really Scared? A Multi-phase Computational Model of Emotions.  Proceedings of the 2nd Conference on Advances in Cognitive Systems.  [Social Reasoning]

2012 [back to the top]

Blair, C. (2012). Qualitative Exploration in Freeciv. Master's Project Report, Northwestern University, Department of Electrical Engineering and Computer Science, Evanston, Illinois. [Master's Project Report] [Interactive Entertainment]

Chang, M. D. and Forbus, K.D. (2012). Using Quantitative Information to Improve Analogical Matching Between Sketches. Proceedings of the 24th Annual Conference on Innovative Applications of Artificial Intelligence (IAAI). Toronto, Canada. [Sketch Understanding]  [Analogy and Similarity]

Friedman, S. E. (2012). Computational Conceptual Change: An Explanation-Based Approach. Doctoral dissertation, Northwestern University, Department of Electrical Engineering and Computer Science, Evanston, Illinois. [Dissertation] [Conceptual Learning]

Friedman, S., Barbella, D., and Forbus, K. (2012). Repairing Qualitative Domain Knowledge with Cross-Domain Analogy. Proceedings of QR 2012. [Analogy and Similarity] [Companion Cognitive Systems]

Friedman, S., Barbella, D., and Forbus, K. (2012). Revising Domain Knowledge with Cross-Domain Analogy.  Advances in Cognitive Systems, 2, 13-24. [Analogy and Similarity] [Companion Cognitive Systems]

Hinrichs, T. and Forbus, K. (2012). Learning Qualitative Models by Demonstration. Proceedings of the 26th AAAI Conference on Artificial Intelligence, 207-213, July.  [Companion Cognitive Systems]

Hinrichs, T. and Forbus, K. (2012). Toward Higher-Order Qualitative Representations. Proceedings of the Twenty-sixth International Workshop on Qualitative Reasoning. Los Angeles CA, July.  [Qualitative Process Theory]

Horiguchi, T., Hirashima, T., and Forbus, K. (2012) A Model-Building Learning Environment with Explanatory Feedback to Erroneous Models. Proceedings of ITS-2012.  [Educational Software]

Kandaswamy, S. and Forbus, K. (2012). Modeling Learning of Relational Abstractions via Structural Alignment. Proceedings of the 34th Annual Conference of the Cognitive Science Society (CogSci). Sapporo, Japan.  [Analogy and Similarity]

Lovett, A., Kandaswamy, S., McLure, M., and Forbus, K. (2012). Evaluating qualitative models of shape representation. Proceedings of the 26th International Workshop on Qualitative Reasoning. Los Angeles, CA. [Sketch Understanding]

Lovett, A., and Forbus, K. (2012). Modeling multiple strategies for solving geometric analogy problems. Proceedings of the 34th Annual Conference of the Cognitive Science Society. Sapporo, Japan. [Analogy and Similarity]

Lovett, A. (2012). Spatial Routines for Sketches: A Framework for Modeling Spatial Problem-Solving. Doctoral dissertation, Northwestern University, Department of Electrical Engineering and Computer Science, Evanston, Illinois. [Dissertation] [Analogy and Similarity]

McLure, M. and Forbus, K. (2012). Encoding Strategies for Learning Geographical Concepts via Analogy. Proceedings of the 26th International Workshop on Qualitative Reasoning. Los Angeles, CA.  [Conceptual Learning]

Sharma, A. and Forbus, K. (2012). Modeling the Evolution of Knowledge in Learning Systems. Proceedings of the Twenty-Sixth Conference on Artificial Intelligence (AAAI-12), Toronto, Canada.  [Learning by Reading]

Wetzel, J. and Forbus, K. (2012). Teleological Representations for Multi-Modal Design Explanations. Proceedings of the 26th International Workshop on Qualitative Reasoning. Los Angeles, California.  [Teleology]  [Educational Software]

2011 [back to the top]

Barbella, D. and Forbus, K. (2011). Analogical Dialogue Acts: Supporting Learning by Reading Analogies in Instructional Texts. Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2011), San Francisco, CA.  [Analogy and Similarity] [Learning by Reading]

Chang, M. D., Wetzel, J. and Forbus, K. D. (2011). Qualitative and Quantitative Reasoning over Physics Textbook Diagrams. Proceedings of the 25th International Workshop on Qualitative Reasoning. Barcelona, Spain.  [Educational Software]  [Engineering Problem Solving]  [Qualitative Process Theory]  [Qualitative Spatial Reasoning]  [Sketch Understanding]

Forbus, K. (2011). The Collaboration Game. Public Service Review: European Science and Technology, Issue 12, 49. (originally appeared in PSR).  [Position Papers and Commentaries]

Forbus, K., Usher, J., Lovett, A., Lockwood, K., and Wetzel, J. (2011).  CogSketch: Sketch understanding for Cognitive Science Research and for Education.  Topics in Cognitive Science, 3(4), pp 648-666. [Analogy and Similarity] [Educational Software] [Sketch Understanding]

Friedman, S. E. and Forbus, K. D. (2011). Repairing Incorrect Knowledge with Model Formulation and Metareasoning. Proceedings of the 22nd International Joint Conference on Artificial Intelligence. Barcelona, Spain.  [Conceptual Learning]

Friedman, S. E., Forbus, K. D. and Sherin, B. (2011). Constructing and revising commonsense science explanations: A metareasoning approach. Proceedings of the AAAI Fall Symposium on Advances in Cognitive Systems.  [Conceptual Learning]

Friedman, S. E., Forbus, K. D. and Sherin, B. (2011). How do the seasons change? Creating and revising explanations via model formulation and metareasoning. Proceedings of the 25th International Workshop on Qualitative Reasoning. Barcelona, Spain.  [Conceptual Learning]

Gentner, D., and Forbus, K. (2011). Computational models of analogy. WIREs Cognitive Science, 2. 266-276.  [Analogy and Similarity]

Halstead, D. (2011). Statistical relational learning through structural analogy and probabilistic generalization. Doctoral dissertation, Northwestern University, Evanston, IL. (UMI no. 3488474) [Dissertation] [Analogy and Similarity]

Hinrichs, T. and Forbus, K. (2011). Transfer Learning Through Analogy in Games. AI Magazine, 32(1), 72-83.  [Transfer Learning]

Hinrichs, T., Forbus, K., de Kleer, J., Yoon, S., Jones, E., Hyland, R., and Wilson, J. (2011). Hybrid Qualitative Simulation of Military Operations. Proceedings of the 23rd Innovative Applications for Artificial Intelligence Conference, pp. 1655-1661, San Francisco, CA.  [Qualitative Process Theory]

Klenk, M., Forbus, K., Tomai, E. and Kim, H. (2011). Using analogical model formulation with sketches to solve Bennett Mechanical Comprehension Test problems.  Journal of Experimental and Theoretical Artificial Intelligence, 23(3), pp. 299-327. [Analogy and Similarity] [QR: Common Sense Reasoning] [Sketch Understanding]

Lovett, A., and Forbus, K. (2011). Cultural commonalities and differences in spatial problem solving: A computational analysis.  Cognition 121, pp. 281-287. [Analogy and Similarity]  [Social Reasoning]  [Qualitative Spatial Reasoning]

Lovett, A. and Forbus, K. (2011). Organizing and representing space for visual problem-solving. Proceedings of the 25th International Workshop on Qualitative Reasoning. Barcelona, Spain.  [Sketch Understanding]

McFate, C.J. and Forbus, K. (2011). NULEX: an open-license broad coverage lexicon. Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2, 363-367. [Natural Language Semantics]

McLure, M. D., Friedman, S. E., Lovett, A. and Forbus, K. D. (2011). Edge-cycles: A qualitative sketch representation to support recognition. Proceedings of the 25th International Workshop on Qualitative Reasoning. Barcelona, Spain.  [Sketch Understanding]

Sharma, A. (2011). Structural and Network-based methods for knowledge-based systems. Doctoral dissertation, Northwestern University, Department of Electrical Engineering and Computer Science, Evanston, Illinois. [Dissertation]  [Reasoning Techniques]

Taylor, J. L. M., Friedman, S. E., Forbus, K. D., Goldwater, M. and Gentner, D. (2011). Modeling structural priming in sentence production via analogical processes. Proceedings of the 33rd Annual Conference of the Cognitive Science Society (CogSci). Boston, MA.  [Analogy and Similarity]

2010 [back to the top]

Barbella, D., and Forbus, K. (2010). Analogical dialogue acts: Supporting learning by reading analogiesProceedings NAACL HLT 2010: 1st Int. Workshop on Formalisms and Methodology for Learning by Reading.  [Analogy and Similarity] [Learning by Reading]

Forbus, K. (2010). Modeling Amidst the Microtheories. J. de Kleer and K. D. Forbus (Eds.), Proceedings of the 24th International Workshop on Qualitative Reasoning (112-115). Portland, OR.  [Compositional Modeling]

Forbus, K., Hinrichs, T., de Kleer, J., and Usher, J. (2010). FIRE: Infrastructure for Experience-based Systems with Common Sense. AAAI Fall Symposium on Commonsense Knowledge, Arlington, VA.  [Reasoning Techniques]

Friedman, S. E. and Forbus, K. D. (2010). An integrated systems approach to explanation-based conceptual change. Proceedings of the 24th AAAI Conference on Artificial Intelligence. Atlanta, GA. [Conceptual Learning] [Companion Cognitive Systems]

Hinrichs, T., Forbus, K., de Kleer, J., Yoon, S., Jones, E., Hyland, R., and Wilson, J. (2010). Hybrid Qualitative Simulation of Military Operations. Proceedings of the 24th International Workshop on Qualitative Reasoning, August 8-10, Portland, Oregon, USA.  [Qualitative Process Theory]

Lovett, A. and Forbus, K. (2010). Shape is like space: Modeling shape representation as a set of qualitative spatial relations. Proceedings of the AAAI Spring Symposium on Cognitive Shape Processing. Palo Alto, CA.  [Sketch Understanding]

Lovett, A., Forbus, K., and Usher, J. (2010). A structure-mapping model of Raven's Progressive Matrices. Proceedings of CogSci-10.  [Analogy and Similarity]

McLure, M., Friedman, S., and Forbus, K.(2010). Learning concepts from sketches via analogical generalization and near-misses. Proceedings of the 32nd Annual Conference of the Cognitive Science Society (CogSci). Portland, OR.  [Sketch Understanding] [Conceptual Learning]

McLure, M., Friedman, S., and Forbus, K. (2010). Combining progressive alignment and near-misses to learn concepts from sketches. Proceedings of the 24th International Workshop on Qualitative Reasoning. Portland, OR.  [Sketch Understanding] [Conceptual Learning]

Sharma A. and Forbus, K. D. (2010). Graph-Based Reasoning and Reinforcement Learning for Improving Q/A Performance in Large Knowledge-Based Systems. AAAI Fall Symposium on Commonsense Knowledge, Arlington, VA.  [Reasoning Techniques]

Sharma A. and Forbus, K. D. (2010). Modeling the Evolution of Knowledge and Reasoning in Learning Systems. AAAI Fall Symposium on Commonsense Knowledge, Arlington, VA.  [Reasoning Techniques]

Wetzel, J. and Forbus, K. (2010). Design Buddy: Providing Feedback for Sketched Multi-Modal Causal Explanations. Proceedings of the 24th International Workshop on Qualitative Reasoning. Portland, Oregon.  [Sketch Understanding] [Educational Software]

Yin, P., Chang, M. D. and Forbus, K. D. (2010). Sketch-based Spatial Reasoning in Geologic Interpretation. Proceedings of the 24th International Workshop on Qualitative Reasoning. Portland, Oregon.  [Sketch Understanding]

Yin, P., Forbus, K., Usher, J., Sageman, B. and Jee, B. (2010). Sketch Worksheets: A Sketch-based Educational Software System. Proceedings of the 22nd Annual Conference on Innovative Applications of Artificial Intelligence.  [Sketch Understanding] [Educational Software]

2009 [back to the top]

Dehghani, M. (2009). A Cognitive Model of Recognition-Based Moral Decision Making. Doctoral dissertation, Northwestern University, Department of Electrical Engineering and Computer Science, Evanston, Illinois. [Dissertation]  [Social Reasoning]

Dehghani, M., Gentner, D., Forbus, K., Ekhtiari, H., and Sachdeva, S., (2009). Analogy and moral decision making. In B. Kokinov, K. Holyoak & D. Gentner (Eds.) Proceedings of the Second International Conference on Analogy. NBU Press, Sofia, Bulgaria. [Analogy and Similarity] [Social Reasoning]

Dehghani, M. and Forbus, K. (2009). QCM: A QP-Based Concept Map System. Proceedings of the 23rd International Workshop on Qualitative Reasoning (pp. 16-21). Ljubljana, Slovenia: QR-09.  [Qualitative Process Theory]

Dehghani, M., Iliev, R. and Kaufmann, S. (2009). Causal Explanations in Counterfactual Reasoning. Proceedings of the 31st Annual Conference of the Cognitive Science Society, (CogSci).  [Social Reasoning]

Dehghani, M., Sachdeva, S., Ekhtiari, H., Gentner D. and Forbus, K. (2009). The Role of Cultural Narratives in Moral Decision Making. Proceedings of the 31st Annual Conference of the Cognitive Science Society (CogSci), Washington, D.C.  [Social Reasoning]

Forbus, K., and Gentner, D. (2009). Dark knowledge in qualitative reasoning: A call to arms. Proceedings of QR09.  [Position Papers and Commentaries] [QR: Common Sense Reasoning]

Forbus, K., Klenk, M. and Hinrichs, T. (2009, July/August). Companion Cognitive Systems: Design Goals and Lessons Learned So Far. IEEE Intelligent Systems, 24(4), 36-46.  [Companion Cognitive Systems]

Forbus, K., Lockwood, K. and Sharma, A. (2009). Steps towards a 2nd generation learning by reading system. AAAI Spring Symposium on Learning by Reading, Spring 2009.  [Learning by Reading]

Friedman, S., Taylor, J. and Forbus, K. (2009). Learning Naïve Physics Models by Analogical Generalization. Proceedings of the 2nd International Analogy Conference. Sofia, Bulgaria.  [Conceptual Learning]

Friedman, S. and Forbus, K. (2009). Learning Naïve Physics Models and Misconceptions. Proceedings of the 31st Annual Conference of the Cognitive Science Society. Amsterdam, Netherlands.  [Conceptual Learning]

Friedman, S., Forbus, K. and Taylor, J. (2009). Learning and Reasoning with Qualitative Models of Physical Behavior. Proceedings of the 23rd International Workshop on Qualitative Reasoning, 37-43. Ljubljana, Slovenia.  [Conceptual Learning]

Gentner, D., Loewenstein, J., Thompson, L., and Forbus, K. (2009) Reviving inert knowledge: Analogical abstraction supports relational retrieval of past events. Cognitive Science, 3, 1343-1382.  [Analogy and Similarity]

Hinrichs, T. and Forbus, K. (2009). Learning game strategies by experimentation. Proceedings of the IJCAI-09 workshop on Learning Structural Knowledge from Observations. Pasadena, CA, July.  [Transfer Learning]

Jee, B., Gentner, D., Forbus, K., Sageman, B. and Uttal, D. (2009). Drawing on experience: Use of sketching to evaluate knowledge of spatial scientific concepts. Proceedings of the 31st Annual Conference of the Cognitive Science Society. Amsterdam, The Netherlands.  [Sketch Understanding]

Klenk, M. (2009). Using Analogy to Overcome Brittleness in AI Systems (Tech. Rep. No. NWU-EECS-09-09). Doctoral dissertation, Northwestern University, Department of Elecrtrical Engineering and Computer Science, Evanston, Illinois. [Dissertation] [Online supplemental materials]  [Transfer Learning]

Klenk, M. and Forbus, K. (2009). Analogical Model Formulation for AP Physics Problems. Artificial Intelligence, 173(18), 1615-1638. doi:10.1016/j.artint.2009.09.003  [Transfer Learning]

Klenk, M. and Forbus, K. D. (2009). Domain Transfer via Cross-Domain Analogy. Cognitive Systems Research, Special Issue on �Analogies: Integrating Cognitive Abilities�. Elsevier.  [Companion Cognitive Systems]

Klenk, M. and Forbus, K. (2009). Persistent mappings in cross-domain analogical learning of physics domains. Proceedings of the 2nd International Analogy Conference. Sofia, Bulgaria.  [Transfer Learning]

Lockwood, K. (2009). Using Analogy to Model Spatial Language Use and Multimodal Knowledge Capture. Doctoral dissertation, Northwestern University, Department of Electrical Engineering and Computer Science, Evanston, Illinois. [Dissertation]  [Analogy and Similarity]

Lockwood, K. and Forbus, K. (2009). Multimodal knowledge capture from text and diagrams. Proceedings of KCAP-2009.  [Learning by Reading]

Lovett, A. and Forbus, K. (2009). Computing human-like qualitative topological relations via visual routines. Proceedings of the 23rd International Qualitative Reasoning Workshop. Ljubljana, Slovenia.  [Sketch Understanding]

Lovett, A. and Forbus, K. (2009). Using a visual routine to model the computational of positional relations. Proceedings of the 31st Annual Conference of the Cognitive Science Society. Amsterdam, The Netherlands.  [Sketch Understanding]

Lovett, A., Gentner, D., Forbus, K. and Sagi, E. (2009). Using analogical mapping to simulate time-course phenomena in perceptual similarity. Cognitive Systems Research, 10, 216-228.  [Analogy and Similarity]

Lovett, A., Sagi, E., Gentner, D. and Forbus, K. (2009). Modeling perceptual similarity as analogy resolves the paradox of difference detection. Proceedings of the 2nd International Analogy Conference. Sofia, Bulgaria.  [Analogy and Similarity]

Lovett, A., Tomai, E., Forbus, K. and Usher, J. (2009). Solving geometric analogy problems through two-stage analogical mapping. Cognitive Science, 33(7), 1192-1231.  [Sketch Understanding]

Tomai, E. (2009). A Pragmatic Approach to Computational Narrative Understanding (Tech. Rep. No. NWU-EECS-09-17). Doctoral dissertation, Northwestern University, Department of Elecrtrical Engineering and Computer Science, Evanston, Illinois. [Dissertation]  [Natural Language Semantics]

Tomai, E. and Forbus, K. (2009). EA NLU: Practical Language Understanding for Cognitive Modeling. Proceedings of the 22nd International Florida Artificial Intelligence Research Society Conference. Sanibel Island, Florida.  [Natural Language Semantics]

Tomai, E. and Forbus, K. (2009). What are you going to do, talk me to death? Exploring the narrative state in interactive entertainment. AAAI Spring Symposium on Intelligent Narrative Technologies II. Palo Alto, CA.  [Interactive Entertainment]

Wagner, E. J., Liu, J., Birnbaum, L. and Forbus, K.D. (2009). Rich Interfaces for Reading News on the Web. Proceedings of the 2009 International Conference on Intelligent User Interfaces (IUI 2009).   Slides PDF  [Intelligence Analysis]

Wetzel, J. and Forbus, K. (2009). Automated Critique of Sketched Designs in Engineering. Proceedings of the 23rd International Workshop on Qualitative Reasoning. Ljubljana, Slovenia.  [Sketch Understanding]

Wetzel, J. and Forbus, K. (2009). Automated Critique of Sketched Mechanisms. Proceedings of the 21st Innovative Applications of Artificial Intelligence Conference. Pasadena, California.  [Sketch Understanding]

2008 [back to the top]

Dehghani, M., Tomai, E., Forbus, K., Klenk, M. (2008). Order of Magnitude Reasoning in Modeling Moral Decision-Making. Proceedings of the 22nd International Workshop on Qualitative Reasoning (QR). Boulder, CO.  [Social Reasoning]

Dehghani, M., Tomai, E., Forbus, K., Klenk, M. (2008). An Integrated Reasoning Approach to Moral Decision-Making. Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence (AAAI). Chicago, IL. [Social Reasoning]

Dehghani, M., Tomai, E., Forbus, K., Iliev, R., Klenk, M. (2008). MoralDM: A Computational Modal of Moral Decision-Making. Proceedings of the 30th Annual Conference of the Cognitive Science Society (CogSci). Washington, D.C.  [Social Reasoning]

Forbus, K., Klenk, M. and Hinrichs, T. (2008). Companion Cognitive Systems: Design Goals and Some Lessons Learned. Proceedings of the AAAI Fall Symposium on Naturally Inspired Artificial Intelligence.  [Companion Cognitive Systems]

Forbus, K., Lovett, A., Lockwood, K., Wetzel, J., Matuk, C., Jee, B., and Usher, J. (2008). CogSketch. Demonstration description in the Proceedings of AAAI 2008.  [Sketch Understanding]

Forbus, K., Usher, J., Lovett, A., Lockwood, K., and Wetzel, J. (2008). CogSketch: Open-domain sketch understanding for cognitive science research and for education. Proceedings of the Fifth Eurographics Workshop on Sketch-Based Interfaces and Modeling. Annecy, France.  [Sketch Understanding]

Friedman, S. and Forbus, K. (2008). Learning Causal Models via Progressive Alignment and Qualitative Modeling: A Simulation. Proceedings of the 30th Annual Conference of the Cognitive Science Society (CogSci). Washington, D.C.  [Conceptual Learning]

Friedman, S. and Forbus, K. (2008). Learning Qualitative Causal Models via Generalization and Quantity Analysis. Proceedings of the 22nd International Workshop on Qualitative Reasoning. Boulder, CO.  [Conceptual Learning]

Klenk, M., Friedman, S., and Forbus, K. (2008). Learning Modeling Abstractions via Generalization. Proceedings of the 22nd International Workshop on Qualitative Reasoning. Boulder, CO.  [Compositional Modeling]

Lockwood, K., Lovett, A., and Forbus, K. (2008). Automatic Classification of Containment and Support Spatial Relations in English and Dutch. Proceedings of Spatial Cognition.  [Natural Language Semantics]

Lockwood, K., Lovett, A., Forbus, K., Dehghani, M., and Usher, J. (2008). Automatic Interpretation of Depiction Conventions in Sketched Diagrams. Proceedings of the Eurographics Workshop on Sketch-Based Interfaces and Modeling.  [Sketch Understanding]

Lockwood, K., Lovett, A., Forbus, K., Dehghani, M., and Usher, J. (2008). A Theory of Depiction for Sketches of Physical Systems. Proceedings of QR 2008.  [Sketch Understanding]

Lovett, A., Dehghani, M., and Forbus, K. (2008). Building and comparing qualitative descriptions of three-dimensional design sketches. Proceedings of the 22nd International Qualitative Reasoning Workshop. Boulder, CO.  [Sketch Understanding]

Lovett, A., Lockwood, K., and Forbus, K. (2008). A computational model of the visual oddity task. Proceedings of the 30th Annual Conference of the Cognitive Science Society. Washington, D.C.  [Qualitative Spatial Reasoning]

Lovett, A., Lockwood, K., and Forbus, K. (2008). Modeling cross-cultural performance on the visual oddity task. Proceedings of Spatial Cognition 2008. Freiburg, Germany.  [Qualitative Spatial Reasoning]

Tomai, E., Forbus, K. (2008). Using Qualitative Reasoning for the Attribution of Moral Responsibility. Proceedings of the 30th Annual Conference of the Cognitive Science Society (CogSci). Washington, D.C.  [Social Reasoning]

Wetzel, J. and Forbus, K. (2008). Integrating Open-Domain Sketch Understanding with Qualitative Two-Dimensional Rigid-Body Mechanics. Proceedings of the 22nd International Workshop on Qualitative Reasoning. Boulder, CO.  [Qualitative Spatial Reasoning]  [Sketch Understanding]

2007 [back to the top]

Dehghani, M., Iliev, R. and Kaufmann, S. (2007). Effects of Fact Mutability in the Interpretation of Counterfactuals. Proceedings of the 29th Annual Conference of the Cognitive Science Society, Nashville, Tennessee.  [Social Reasoning]

Dehghani, M., Unsworth, S., Lovett, A. and Forbus, K. (2007). Capturing and Categorizing Mental Models of Food Webs using QCM. Proceedings of the 21st International Workshop on Qualitative Reasoning. Aberystwyth, U.K.  [Social Reasoning]

Forbus, K., and Kuehne, S. (2007). Episodic Memory: A Final Frontier (Abbreviated Version). Proceedings of AI for Interactive Digital Entertainment (AIIDE07), Palo Alto, CA.  [Interactive Entertainment]

Forbus, K., Lockwood, K., Tomai, E., Dehghani, M. and Czyz, J. (2007). Machine Reading as a Cognitive Science Research Instrument. Proceedings of the AAAI Spring Symposium on Machine Reading. Stanford University, California.  [Learning by Reading]

Forbus, K., Riesbeck, C., Birnbaum, L., Livingston, K., Sharma, A., and Ureel, L. (2007). Integrating Natural Language, Knowledge Representation and Reasoning, and Analogical Processing to Learn by Reading. Proceedings of AAAI-07: Twenty-Second Conference on Artificial Intelligence, Vancouver, BC.  [Learning by Reading]

Forbus, K., Riesbeck, C., Birnbaum, L., Livingston, K., Sharma, A., and Ureel, L. (2007). A Prototype System that Learns by Reading Simplified Texts. Proceedings of the AAAI Spring Symposium on Machine Reading. Stanford University, California.  [Learning by Reading]

Halstead, D. and Forbus, K. (2007). Some Effects of a Reduced Relational Vocabulary on the Whodunit Problem. Proceedings of IJCAI-2007. Hyderabad, India.  [Analogy and Similarity] [Intelligence Analysis]

Hinrichs, T. and Forbus, K. (January, 2007). Analogical Learning in a Turn-Based Strategy Game. Proceedings of the Twentieth International Joint Conference on Artificial Intelligence (pp. 853-858). Hyderabad, India.  [Transfer Learning]

Klenk, M. and Forbus, K. (2007). Cognitive modeling of analogy events in physics problem solving from examples. Proceedings of CogSci-07. Nashville, TN.  [Companion Cognitive Systems]

Klenk, M. and Forbus, K. (2007). Cross domain analogies for learning domain theories. In Angela Schwering et al. (Eds.), Analogies: Integrating Multiple Cognitive Abilities, Volume 5-2007. Publications of the Institute of Cognitive Science, University of Osnabr�ck.  [Transfer Learning]

Klenk, M. and Forbus, K. (2007). Learning domain theories via analogical transfer. Proceedings of Qualitative Reasoning Workshop 2007. Aberystwyth, U.K.  [Transfer Learning]

Klenk, M. and Forbus, K. (2007). Measuring the level of transfer learning by an AP Physics problem-solver. Proceedings of AAAI-07: Twenty-Second Conference on Artificial Intelligence, Vancouver, BC.   [Transfer Learning]

Lovett, A., Dehghani, M. and Forbus, K. (2007). Constructing Spatial Representations of Variable Detail for Sketch Recognition. Proceedings of the AAAI Spring Symposium on Control Mechanisms for Spatial Knowledge Processing in Cognitive ⁄ Intelligent Systems, Stanford University, California.  [Sketch Understanding]

Lovett, A., Dehghani, M. and Forbus, K. (2007). Incremental Learning of Perceptual Categories for Open-Domain Sketch Recognition. International Joint Conferences on Artificial Intelligence, 447-452.  [Sketch Understanding]

Lovett, A., Forbus, K., and Usher, J. (2007). Using qualitative representations and analogical mapping to solve problems from a spatial intelligence test. Proceedings of the 21st International Qualitative Reasoning Workshop. Aberystwyth, U.K.  [QR: Qualitative Spatial Reasoning]

Lovett, A. Forbus, K., and Usher, J. (2007). Analogy with qualitative spatial representations can simulate solving Raven's Progressive Matrices. Proceedings of the of the 29th Annual Conference of the Cognitive Science Society. Nashville, TN.  [QR: Qualitative Spatial Reasoning]

Lovett, A., Lockwood, K., Dehghani, M., and Forbus, K. (2007). Modeling human-like rates of learning via analogical generalization. Proceedings of Analogies: Integrating Multiple Cognitive Abilities. Nashville, Tennessee. [Analogy and Similarity]

Lovett, A., Sagi, E., and Gentner, D. (2007). Analogy as a mechanism for comparison. Proceedings of Analogies: Integrating Multiple Cognitive Abilities. Nashville, Tennessee. [Analogy and Similarity]

Paritsh, P. K. (2007). Back of the Envelope Reasoning for Robust Quantitative Problem Solving. (Tech. Rep. No. NWU-EECS-07-11). Doctoral dissertation, Northwestern University, Department of Elecrtrical Engineering and Computer Science, Evanston, Illinois. [Dissertation].  [QR: Common Sense Reasoning]

Paritosh, P.K. (2007). Beyond Corpus Lookup: Towards Heuristic Reasoning with Text. Proceedings of the 3rd International Workshop on Knowledge and Reasoning in Answering Questions, IJCAI-07, Hyderabad.  [QR: Common Sense Reasoning]

Paritosh, P. and Bridewell, W. (2007). From Whiteboard to Model: A Preliminary Analysis. Proceedings of the 21st International Workshop on Qualitative Reasoning, Aberystwyth, U.K.  [QR: Common Sense Reasoning]

Tomai, E. and Forbus, K. (2007, November). Narrative Presentation and Meaning. AAAI Fall Symposium on Intelligent Narrative Technologies, Arlington, VA.  [Natural Language Semantics]

Tomai, E. and Forbus, K. (2007). Plenty of Blame to Go Around: A Qualitative Approach to Attribution of Moral Responsibility. In Proceedings of Qualitative Reasoning Workshop 2007, Aberystwyth, U.K.  [Social Reasoning]

2006 [back to the top]

Birnbaum, L., Forbus, K., Wagner, E. J., Baker, J. and Witbrock, M. (2006). Analogy, Intelligent IR, and Knowledge Integration for Intelligence Analysis. 2005 AAAI Spring Symposium on AI Technologies for Homeland Security.  [Intelligence Analysis]

Dehghani, M. and Lovett, L. (2006) Efficient Genre Classification using Qualitative Representations. Proceedings of the 7th International Conference on Music Information Retrieval, Victoria, Canada.  [Analogy and Similarity]

Forbus, K. and Hinrichs, T. (2006). Companion Cognitive Systems: A step towards human-level AI. AI Magazine, 27(2), Summer, 83-95.  [Companion Cognitive Systems]

Hinrichs, T.R., Nichols, N.D. and Forbus, K.D. (2006). Using qualitative reasoning in learning strategy games: A preliminary report. 20th International Workshop on Qualitative Reasoning. Hanover, NH.  [Companion Cognitive Systems]

Kahlert, R. C., Rode, B., Baxter, D., Witbrock, M., Forbus, K., Birnbaum, L., Shah, P., Schneider, D., Panton, K., Belasco, A. and Crabbe, D. (2006). Tracking quantity fluctuations using STT. In the Proceedings of the 2006 AAAI Fall Symposium on Evidence Extraction, Arlington, VA.  [Intelligence Analysis]

Klenk, M. and Forbus, K. (2006). Analogical Model Formulation for AP Physics Problems. 20th International Workshop on Qualitative Reasoning, Hanover, NH.  [Transfer Learning]

Lockwood, K., Forbus, K., Halstead, D. and Usher, J. (2006). Automatic Categorization of Spatial Prepositions. Proceedings of the 28th Annual Conference of the Cognitive Science Society. Vancouver, Canada.  [QR: Qualitative Spatial Reasoning]

Lovett, A., Dehghani, M. and Forbus, K. (2006). Efficient Learning of Qualitative Descriptions for Sketch Recognition. Proceedings of the 20th International Qualitative Reasoning Workshop, Hanover, New Hampshire. July.  [Sketch Understanding]

Lovett, A., Gentner, D., and Forbus, K. (2006). Simulating Time-Course Phenomena in Perceptual Similarity via Incremental Encoding. Proceedings of the Twenty-Eighth Annual Meeting of the Cognitive Science Society.  [Analogy and Similarity]

Ouyang, T. and Forbus, K. (2006). Strategy variations in analogical problem solving. Proceedings of AAAI-06.  [Analogy and Similarity]

Paritosh, P.K. (2006). The Heuristic Reasoning Manifesto. In Proceedings of the 20th International Workshop on Qualitative Reasoning, Hanover.  [QR: Common Sense Reasoning]

Paritosh, P.K. and Klenk, M.E. (2006). Cognitive Processes in Quantitative Estimation: Analogical Anchors and Causal Adjustment. Proceedings of the 28th Annual Conference of the Cognitive Science Society, Vancouver.  [QR: Common Sense Reasoning]

Price, C.J., Trave-massuyes, L., Milne, R., Ironi, I., Forbus, K., Bredeweg, B., Lee, M. Struss, P., Snooke, N., Lucas, P., Cavazza, M., Coghill, G. (2006).  Qualitative futures.  The Knowledge Engineering Review 21(4) pp 317-334. [Position Papers and Commentaries]

Wagner, E. J., Liu, J., Birnbaum, L., Forbus, K. and James Baker (2006). Using Explicit Semantic Models to Track Situations Across News Articles. AAAI 2006 Workshop on Event Extraction and Synthesis.  Slides PDF  [Intelligence Analysis]

2005 [back to the top]

Dunham, G., Forbus, K., and Usher, J. (2005). nuWar: A prototype sketch-based strategy game. Proceeding of the 1st Artificial Intelligence and Interactive Digital Entertainment Conference.  [Interactive Entertainment]

Forbus, K. (2005). Companion Cognitive Systems: An Overview. One-page abstract for invited Fellows Talk, 27th Annual Meeting of the Cognitive Science Society, Stresa, Italy.  [Companion Cognitive Systems]

Forbus, K., Birnbaum, L., Wagner, E., Baker, J. and Witbrock, M. (2005). Analogy, intelligent IR, and knowledge integration: Situation tracking and the Whodunit problem. The 20005 International Conference on Intelligence Analysis. McLean, VA.  [Intelligence Analysis]

Forbus, K. D. and Kuehne, S. (2005). Towards a qualitative model of everyday political reasoning. Proceedings of the 19th International Qualitative Reasoning Workshop, Graz, Austria, May.  [Learning by Reading]

Forbus, K., Usher, J. and Tomai, E. (2005). Analogical learning of visual/conceptual relationships in sketches. Proceedings of AAAI-05.  [Companion Cognitive Systems]

Halstead, D. and Forbus, K. (2005). Transforming between Propositions and Features: Bridging the Gap. Proceedings of AAAI-2005. Pittsburgh, PA.  [Analogy and Similarity]

Klenk, M., Forbus, K., Tomai, E., Kim,H., and Kyckelhahn, B. (2005). Solving Everyday Physical Reasoning Problems by Analogy using Sketches. Proceedings of 20th National Conference on Artificial Intelligence (AAAI-05), Pittsburgh, PA.  [QR: Common Sense Reasoning]

Lockwood, K., Forbus, K., and Usher, J. (2005). SpaceCase: A model of spatial preposition use. Proceedings of the 27th Annual Conference of the Cognitive Science Society. Stressa, Italy.  [QR: Qualitative Spatial Reasoning]

Paritosh, P. and Forbus, K. (2005). Analysis of Strategic Knowledge in Back of the Envelope Reasoning. Proceedings of the 20th National Conference on Artificial Intelligence (AAAI-05), Pittsburgh, PA.  [QR: Common Sense Reasoning]

Sanghi, M., Paritosh P.K. and Thomas, R. (2005). Sub-linear Algorithms for Landmark Discovery from Black Box Models. In M. Hofbaur, B. Rinner and F. Wotawa (Eds.), Proceedings of the 19th International Workshop on Qualitative Reasoning (QR-05) (pp. 60). Graz, Austria: QR-05.  [QR: Engineering Problem Solving]

Tomai, E., Lovett, A., Forbus, K., and Usher, J. (2005). A Structure Mapping Model for Solving Geometric Analogy Problems. Proceedings of the 27th Annual Conference of the Cognitive Science Society, Stressa, Italy, 2190-2195.  [QR: Qualitative Spatial Reasoning]

Ureel II, Leo C., K. Forbus, C. Riesbeck, and L. Birnbaum (2005). Question Generation for Learning by Reading. Proceedings of the AAAI Workshop on Textual Question Answering, Pittsburgh, Pennsylvania. July.  [Learning by Reading]

Yan, J. and Forbus, K. (2005). Similarity-based qualitative simulation. Proceedings of the 27th Annual Meeting of the Cognitive Science Society.  [Analogy and Similarity]

2004 [back to the top]

Forbus, K., Carney, K., Sherin, B. and Ureel, L. (2004). Qualitative modeling for middle-school students. Proceedings of the 18th International Qualitative Reasoning Workshop, Evanston, Illinois, August.  [Educational Software]

Forbus, K., Carney, K., Sherin, B. and Ureel, L. (2004). VModel: A visual qualitative modeling environment for middle-school students. Proceedings of the 16th Innovative Applications of Artificial Intelligence Conference, San Jose, July 2004.  [Educational Software]

Forbus, K. and Hinrichs, T. (2004). Companion Cognitive Systems: A step towards human-level AI. AAAI Fall Symposium on Achieving Human-level Intelligence through Integrated Systems and Research, October, Washington, DC.  [Companion Cognitive Systems]

Forbus, K. and Hinrichs, T. (2004). Self-modeling in Companion Cognitive Systems: Current Plans. DARPA Workshop on Self-Aware Systems, Washington, DC.  [Companion Cognitive Systems]

Forbus, K., Lockwood, K., Klenk, M., Tomai, E., and Usher, J. (2004). Open-domain sketch understanding: The nuSketch approach. Proceedings of the AAAI Fall Symposium on Making Pen-based Interaction Intelligent and Natural, October, Washington, DC.  [Sketch Understanding]

Kuehne, S. E. (2004). On the Representation of Physical Quantities in Natural Language Text. Proceedings of the Twenty-sixth Annual Meeting of the Cognitive Science Society, Chicago, Illinois, August.  [Natural Language Semantics]

Kuehne, S. E. (2004). Understanding natural language descriptions of physical phenomena. Doctoral dissertation, Northwestern University, Evanston, Illinois. [Dissertation] [Natural Language Semantics]

Kuehne, S. and Forbus, K. (2004). Capturing QP-relevant information from natural language text. Proceedings of the 18th International Qualitative Reasoning Workshop, Evanston, Illinois, August.  [Natural Language Semantics]

Kyckelhahn, B. and Forbus, K. (2004). Jitter in self-explanatory simulation. Proceedings of the 18th International Qualitative Reasoning Workshop, Evanston, Illinois, August.  [QR: Self-explanatory Simulators]

Paritosh, P.K. (2004). Symbolizing Quantity. In Proceedings of the 26th Cognitive Science Conference, Chicago.  [QR: Common Sense Reasoning]

Paritosh, P. and Forbus, K. (2004). Using strategies and AND/OR decomposition for back of the envelope reasoning. Proceedings of the 18th International Qualitative Reasoning Workshop, Evanston, Illinois, August.  [QR: Common Sense Reasoning]

Tomai, E., Forbus, K., and Usher, J. (2004). Qualitative spatial reasoning for geometric analogies. Proceedings of the 18th International Qualitative Reasoning Workshop, Evanston, Illinois, August.  [Sketch Understanding]

Yan, J. and Forbus, K. (2004). Similarity-based qualitative simulation: A preliminary report. Proceedings of the 18th International Qualitative Reasoning Workshop, Evanston, Illinois, USA, August.  [Analogy and Similarity]

2003 [back to the top]

Barker, K., Blythe, J., Borchardt, G., Chaudhri, V., Clark, P., Cohen, P., Fitzgerald, J., Forbus, K., Gil, Y., Katz, B., Kim, J., King, G., Mishra, S., Morrison, C., Murray, K., Otstott, C., Porter, B., Schrag, R., Uribe, T., Usher, J. and Yeh, P. (2003). A knowledge acquisition tool for course of action analysis. In Proceedings of the Innovative Applications of Artificial Intelligence Conference.  [Sketch Understanding]

Carney, Karen and Ureel, Leo (2003). Demonstration of Supports for Student Reuse and Integration of Knowledge through Modeling. In Wasson B., Baggetun, R., Hoppe, U., Ludvigsen, S. (Eds.) International Conference on Computer Support for Collaborative Learning, CSCL 2003, Community events, Communication and Interaction. (pp. 98-100) Bergen, Norway, University of Bergen Press.  [Educational Software]

Forbus, K., Tomai, E., and Usher, J. (2003). Qualitative spatial reasoning for visual grouping in sketches. Proceedings of the 17th International Workshop on Qualitative Reasoning, Brasilia, Brazil, August.  [Sketch Understanding]

Forbus, K., Usher, J. and Chapman, V. (2003). Qualitative spatial reasoning about sketch maps. Proceedings of the Fifteenth Annual Conference on Innovative Applications of Artificial Intelligence, Acapulco, Mexico.  [Sketch Understanding]

Forbus, K., Usher, J., and Chapman, V. (2003). Sketching for Military Courses of Action Diagrams. Proceedings of IUI'03, January, 2003. Miami, Florida.  [Sketch Understanding]

Paritosh, P.K. (2003). A sketch of a theory of quantity. Proceedings of the 17th International Workshop on Qualitative Reasoning, Brasilia, Brazil, August 2003.  [QR: Common Sense Reasoning]

Paritosh, P.K. and Forbus, K.D. (2003). Qualitative Modeling and Similarity in Back of the Envelope Reasoning. Proceedings of the 25th Cognitive Science Conference, Boston, MA.  [QR: Common Sense Reasoning]

Ureel, Leo and Carney, Karen (2003). Design Of Computational Supports for Students in Visual Modelling Tasks. In Wasson B., Baggetun, R., Hoppe, U., Ludvigsen, S. (Eds.) International Conference on Computer Support for Collaborative Learning, CSCL 2003, Community events, Communication and Interaction. (pp. 98-100) Bergen, Norway, University of Bergen Press.  [Educational Software]

Yan, J., Forbus, K., and Gentner, D. (2003). A Theory of Rerepresentation in Analogical Matching. Proceedings of the Twenty-fifth Annual Meeting of the Cognitive Science Society.  [Analogy and Similarity]

2002 [back to the top]

Bittner, T. (2002). Approximate qualitative temporal reasoning. Annals of Mathematics and Artificial Intelligence, 35(1-2), 39-80.  [QR: Qualitative Temporal Reasoning]

Carney, Karen, (2002). When is a Tree a Process? Influences on Student Representations of Process in "Low Floor" Qualitative Modeling Tasks. In P. Bell and T. Satwicz (Eds) Keeping Learning Complex: The Proceedings of the Fifth Annual International Conference of the Learning Sciences, (pp. 49-56) Mahwah, NJ: Lawrence Earlbaum.  [Educational Software]

Carney, K, Forbus K., Ureel, L., Sherin, B. (2002). Using Modeling to Support Integration and Reuse of Knowledge in School Science: Vmodel, a New Educational Technology. American Educational Research Association Annual Conference, April.  [Educational Software]

Forbus, K. (2002). Helping children become qualitative modelers. Journal of the Japanese Society for Artificial Intelligence, 17(4), 471-479.  [Educational Software]

Forbus, K., Mahoney, J.V., and Dill, K. (2002).  How qualitative spatial reasoning can improve strategy game AIs.  IEEE Intelligent Systems, July/August 2002. [QR: Qualitative Spatial Reasoning]

Forbus, K., Mostek, T. and Ferguson, R. (2002). An analogy ontology for integrating analogical processing and first-principles reasoning. Proceedings of IAAI-02, July.  [Analogy and Similarity]

Forbus, K. and Usher, J. (2002). Sketching for knowledge capture: A progress report. IUI'02, January 13-16, San Francisco, California.  [Sketch Understanding]

Kuehne, S.E., and Forbus, K. D. (2002). Qualitative physics as a component in natural language semantics: A progress report. Proceedings of the Twenty-fourth Annual Meeting of the Cognitive Science Society, George Mason University, Fairfax, VA.  [Natural Language Semantics]

Nicholson, S. and Forbus, K. (2002). Answering comparison questions in SHAKEN: A progress report. AAAI Spring Symposium on Mining Answers from Texts and Knowledge Bases, Palo Alto, CA.  [Analogy and Similarity]

Rasch, R., Kott, Al, and Forbus, K. (2002). AI on the Battlefield: An experimental exploration. Proceedings of the 14th Innovative Applications of Artificial Intelligence Conference, July, Edmonton, Canada.  [Sketch Understanding]

2001 [back to the top]

Bittner, T. and Smith, B. (2001). Granular partitions and vagueness. Proceedings of the Conference on Formal Ontology in Information Systems (FOIS2001), ACM Press.  [Ontology and Granular Partitions]

Bittner, T. and Smith, B. (2001). A taxonomy of granular partitions. Proceedings of the Conference on Spatial Information Theory (COSIT2001). Lecture Notes in Computer Science, Berlin-Heidelberg, Springer-Verlag.  [Ontology and Granular Partitions]

Bittner, T and Smith, B. (2001). A unified theory of granularity, vagueness and approximation. COSIT Workshop on Spatial Vagueness, Uncertainty, and Granularity.  [Ontology and Granular Partitions]

Donlon, J.J. and Forbus, K. (2001).  Improving digital terrain with artificial intelligence.  Army AL&T, November-December 2001, 32-33. [QR: Qualitative Spatial Reasoning]

Ferguson, R.W. (2001). Symmetry: An analysis of cognitive and diagrammatic characteristics. Doctoral dissertation, Northwestern University, Evanston, IL. (UMI no. 3011985) [Dissertation] [Analogy and Similarity]

Forbus, K. (2001). Articulate software for science and engineering education. In Forbus, K., Feltovich, P., and Canas, A. (Eds.) Smart machines in education: The coming revolution in educational technology. AAAI Press.  [Educational Software]

Forbus, K. (2001). Exploring analogy in the large. In Gentner, D., Holyoak, K., and Kokinov, B. (Eds.) Analogy: Perspectives from Cognitive Science. MIT Press.  [Analogy and Similarity]

Forbus, K., Carney, K., Harris, R. and Sherin, B. (2001). A qualitative modeling environment for middle-school students: A progress report. Proceedings of the 15th International Workshop on Qualitative Reasoning (QR01).  [Educational Software]

Forbus, K., Feltovich, P., and Canas, A. (Eds.) (2001). Smart Machines in Education: The coming revolution in educational technology. AAAI Press.  [Educational Software]

Forbus, K., Ferguson, R. and Usher, J. (2001). Towards a computational model of sketching. IUI'01,January 14-17, 2001, Santa Fe, New Mexico.  [Sketch Understanding]

Forbus, K., Mahoney, J., and Dill, K. (2001). How qualitative spatial reasoning can improve strategy game AIs. AAAI Spring Symposium on AI and Interactive Entertainment, March.  [Interactive Entertainment]

Forbus, K. and Wright, W. (2001). Some notes on programming objects in The Sims. Class notes from Northwestern's Computer Game Design course, 5/31/01.  [Interactive Entertainment]

Ma, J. (2001). Perceptions of feedback systems: Learning an expert model through comparison and design. Doctoral dissertation, Northwestern University, Evanston, IL. (UMI no. 3012034) [Dissertation] [Educational Software]

Paritosh, P.K. and Forbus, K.D. (2001). Common sense on the envelope. Proceedings of the 15th International Workshop on Qualitative Reasoning.  [QR: Common Sense Reasoning]

2000 [back to the top]

Baher, J.L. (2000). Constructing teaching practices around novel technologies: A case study of three universities. Doctoral dissertation, Northwestern University, Evanston, IL. [Dissertation] (UMI no. 9994606) [Educational Software]

Ferguson, R. and Forbus, K. (2000).  GeoRep: A flexible tool for spatial representation of line drawings.  Proceedings of AAAI-2000.  Austin, Texas. [QR: Qualitative Spatial Reasoning] [Sketch Understanding]

Ferguson, R. W., Rasch, R. A. J., Turmel, W. and Forbus, K. D. (2000). Qualitative spatial interpretation of Course-of-Action diagrams. Proceedings of the 14th International Workshop on Qualitative Reasoning. Morelia, Mexico.  [Sketch Understanding]

Forbus, K. D., Ferguson, R. W. and Usher, J. M. (2000). Boundary-based multimodal input for geographic planning sketches. In P. Healy (Ed.), Proceedings of the First International Workshop on Interactive Graphical Communication. London: Queen Mary College, University of London.  [Sketch Understanding]

Forbus, K., Ferguson, R. and Usher, J. (2000). Towards a computational model of sketching. Proceedings of QR-2000, Morelia, Mexico.  [Sketch Understanding]

Kuehne, S., Forbus, K., Gentner, D. and Quinn, B. (2000). SEQL: Category learning as progressive abstraction using structure mapping. Proceedings of CogSci 2000, August.  [Analogy and Similarity]

Kuehne, S., Gentner, D. and Forbus, K. (2000). Modeling infant learning via symbolic structural alignment. Proceedings of CogSci 2000, August.  [Analogy and Similarity]

Mostek, T., Forbus, K, and Meverden, C. (2000). Dynamic case creation and expansion for analogical reasoning. Proceedings of AAAI-2000. Austin, TX.  [Analogy and Similarity]

1999 [back to the top]

Dobson, D. and Forbus, K. (1999). Towards articulate game engines. AAAI Spring Symposium on AI and computer games. (AAAI Technical Report SS-99-02).  [Interactive Entertainment]

Donlon, J.J. and Forbus, K.D. (1999). Using a geographic information system for qualitative spatial reasoning about trafficability. Proceedings of the Qualitative Reasoning Workshop. Loch Awe, Scotland.  [QR: Qualitative Spatial Reasoning]

Everett, J. O. (1999). Topological inference of teleology: Deriving function from structure via evidential reasoning. Artificial Intelligence, 113 (1-2).  [QR: Teleology]

Ferguson, R.W. and Forbus, K.D. (1999). GeoRep: A flexible tool for spatial representation of line drawings. Proceedings of the Qualitative Reasoning Workshop. Loch Awe, Scotland.  [QR: Qualitative Spatial Reasoning]

Forbus, K.D., Whalley, P., Everett, J., Ureel, L., Brokowski, M., Baher, J. and Kuehne, S. (1999). CyclePad: An articulate virtual laboratory for engineering thermodynamics. Artificial Intelligence, 114, 297-347.  [Educational Software]

Koedinger, K. R., Suthers, D. D., and Forbus, K. D. (1999).  Component-based construction of a science learning space: A model and feasibility demonstration.   Invited paper, International Journal of Artificial Intelligence in Education. [Educational Software]

Mostek, T., Loewenstein, J., Forbus, K.D. and Gentner, D. (1999). Simulating the effects of relational language in spatial mapping abilities.  Proceedings of CogSci-99. [QR: Qualitative Spatial Reasoning]

1998 [back to the top]

Forbus, K., Everett, J., Ureel, L., Brokowski, M., Baher, J., and Kuehne, S. (1998). Distributed Coaching for an Intelligent Learning Environment. Proceedings of QR98, May, Cape Cod.  [Educational Software]

Forbus, K., Gentner, D., Markman, A. and Ferguson, R. (1998). Analogy just looks like high level perception: Why a domain-general approach to analogical mapping is right. Journal of Experimental and Theoretical Artificial Intelligence (JETI), 10, 231-257.  [Position Papers and Commentaries]

Forbus, K. D. and Kuehne, S. E. (1998). RoboTA: An agent colony architecture for supporting education. Proceedings of the Second International Conference on Autonomous Agents (Agents '98). (pp. 455-456). Minneapolis/St. Paul, MN.  [Educational Software]

Forbus, K. and Whalley, P. (1998).  Using qualitative physics to build articulate software for thermodynamics education: A preliminary reportInteractive Learning Environments, 1(1), 19-32. [Educational Software]

Koedinger, K. R., Suthers, D. D., and Forbus, K. D. (1998).  Component-based construction of a science learning space: A model and feasibility demonstration.  In Goettl, B. P., Halff, H. M., Redfield, C. L., & Shute, V. J. (Eds.) Intelligent Tutoring Systems, Proceedings of the Fourth International Conference, (pp. 166-175).  Lecture Notes in Computer Science, 1452.  Berlin: Springer-Verlag. [Educational Software]

Pisan, Y. (1998). An integrated architecture for engineering problem solving. Doctoral dissertation, Northwestern University, Evanston, IL. (UMI No. 733042431) [Dissertation] (Appendix of problems solved by the Thermodynamics Problem Solver).  [QR: Engineering Problem Solving]

Sgouros, N. (1998). Interaction between physical and design knowledge in design from physical principles. Engineering Applications of Artificial Intelligence, 11, 449-459.  [QR: Engineering Problem Solving]

1997 [back to the top]

Everett, J.O. (1997). Topological inference of teleology: Deriving function from structure via evidential reasoning. Doctoral dissertation, Northwestern University, Evanston, IL. (UMI No. 9814209) [Dissertation] [QR: Teleology]

Ferguson, R.W., Forbus, K.D., and Gentner, D. (1997). On the proper treatment of noun-noun metaphor: A critique of the Sapper model. Member abstract presented at the 19th Annual Meeting of the Cognitive Science Society, Stanford University, August. (HTML, PDF).  [Position Papers and Commentaries]

Forbus, K. (1997). Using qualitative physics to create articulate educational software. IEEE Expert, May/June, 32-41.  [Educational Software]

Forbus, K. and Gentner, D. (1997). Qualitative mental models: Simulations or memories? Proceedings of the Eleventh International Workshop on Qualitative Reasoning, Cortona, Italy, June 3-6, pp. 97-104.  [QR: Common Sense Reasoning]

Forbus, K., Gentner, D., Everett, J. and Wu, M. (1997). Towards a computational model of evaluating and using analogical inferences. Proceedings of CogSci97.  [Analogy and Similarity]

Forbus, K., Gentner, D., Markman, A. and Ferguson, R. (1997). Analogy just looks like high level perception: Why a domain-general approach to analogical mapping is right. Journal of Experimental and Theoretical Artificial Intelligence. (html version, PDF version). This paper is a reply to Chalmers, D. J., French, R. M., and Hofstadter, D. R. (1992). High-level perception, representation and analogy: A critique of artificial intelligence methodology. Journal of Experimental and Theoretical Artificial Intelligence, 4, 185-211.  [Position Papers and Commentaries]

Gentner, D., Brem, S., Ferguson, R.W., Markman, A.B., Levidow, B.B., Wolff, P., and Forbus, K. (1997). Analogical reasoning and conceptual change: A case study of Johannes Kepler. The Journal of the Learning Sciences, 6(1), 3-40.  [Analogy and Similarity]

Gentner, D. and Markman, A. (1997). Structure mapping in analogy and similarity. American Psychologist, January, 45-56.  [Analogy and Similarity]

1996 [back to the top]

Everett, J. and Forbus, K. (1996). Scaling Up Logic-Based Truth Maintenance Systems via Fact Garbage Collection. Proceedings of the 13th National Conference on Artificial Intelligence.  [Reasoning Techniques]

Forbus, K. (1996). Qualitative reasoning. CRC Hand-book of Computer Science and Engineering. CRC Press. (Next-to final drafts, with more citations than final version. Postscript).  [QR: Surveys]

Forbus, K. (1996). Self-explanatory simulators for middle-school science education: A progress report. Proceedings of QR96.  [QR: Self-explanatory Simulators]

Forbus, K. (1996). Why computer modeling should become a popular hobby. D-Lib Magazine, October.  [Interactive Entertainment]

Pisan, Y. (1996). Using qualitative representations in controlling engineering problem solving. In Qualitative Reasoning Workshop (pp. 190-197). Stanford, California: QR-06.(html, Microsoft Word, Rich Text Format).  [QR: Engineering Problem Solving]

1995 [back to the top]

Everett, J. (1995). A theory of mapping from structure to function applied to engineering thermodynamics. Proceedings of the 14th International Joint Conference on Artificial Intelligence.  [QR: Teleology]

Ferguson, R. and Forbus, K. (1995). Understanding Illustrations of Physical Laws by Integrating Differences in Visual and Textual Representations. AAAI Fall Symposium on Computational Models for Integrating Language and Vision.  [Analogy and Similarity]

Forbus, K. and Falkenhainer, B. (1995). Scaling up self-explanatory simulators: Polynomial-time compilation. Proceedings of IJCAI-95, Montreal, Canada.  [QR: Self-explanatory Simulators]

Forbus, K., Gentner, D., and Law, K. (1995). MAC/FAC: A model of similarity-based retrieval. Cognitive Science, 19, 141-205. [NB: the paper incorrectly identifes the year of publication as 1994]  [Analogy and Similarity]

Gentner, D., Rattermann, M.J., Markman, A., and Kotovsky, L. (1995). Two forces in the development of relational similarity.  [Analogy and Similarity]

Pisan, Y. (1995). A visual routines based model of graph understanding. Proceedings of the 17th Annual Conference of the Cognitive Science Society.  [QR: Qualitative Spatial Reasoning]

1994 [back to the top]

DeCoste, D.M. (1994). Goal-directed qualitative reasoning with partial states. Doctoral dissertation, University of Illinois at Urbana-Champaign, Urbana, Illinois. (UMI no. 9503174) [Dissertation]  [QR: Engineering Problem Solving]

Ferguson, R. W. (1994). MAGI: Analogy-based encoding using regularity and symmetry. In A. Ram and K. Eiselt (Eds.), Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society (pp. 283-288). Atlanta, GA: Lawrence Erlbaum Associates.  [Analogy and Similarity]

Forbus, K. (1994). Polynomial-time compilation of self-explanatory simulators. Proceedings of QR94, Nara, Japan, June.  [QR: Self-explanatory Simulators]

Forbus, K. (1994). Qualitative spatial reasoning: Framework and frontiers. In: Glasgow, J ., Narayanan, H ., and Chandrasekaren, B. (Eds.), Diagrammatic Reasoning: Computational and Cognitive Perspectives, AAAI Press, 1995.  [QR: Qualitative Spatial Reasoning]

Forbus, K. (1994). Self-explanatory simulators: Making computers partners in the modeling process. Mathematics and Computers in Simulation, 36, 91-101.  [QR: Self-explanatory Simulators]

Forbus, K., Ferguson, R. and Gentner, D. (1994). Incremental structure-mapping. Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society, August.  [Analogy and Similarity]

Forbus, K. and Whalley, P.B. (1994). Using qualitative physics to build articulate software for thermodynamics education. Proceedings of the 12th National Conference on Artificial Intelligence.  [Educational Software]

Law, K. Forbus, K. and Gentner, D. (1994). Simulating similarity-based retrieval: A comparison of ARCS and MAC/FAC.  Proceedings of the Cognitive Science Society, August.  [Analogy and Similarity]

Pisan, Y. (1994). Visual reasoning with graphs. Qualitative Reasoning Workshop. (Visual reasoning about physical properties via graphs).  [QR: Qualitative Spatial Reasoning]

1993 [back to the top]

Collins, J.W. (1993). Process-based diagnosis: An approach to understanding novel failures (UIUCDCS-R-94-1846) Champaign-Urbana: University of Illinois. (Tech. Rep. No. 48). Evanston, Illinois: Northwestern University, The Institute for the Learning Sciences. [Dissertation] [QR: Engineering Problem Solving]

Forbus, K. (1993). Qualitative process theory: Twelve years after. Artificial Intelligence, 59, 115-123.  [QR: Qualitative Process Theory]

Forbus, K. and de Kleer, J. (1993). Building Problem Solvers, MIT Press.  [Reasoning Techniques]

Forbus, K., Ferguson, R., Hyun, S., and Everett, J. (1993). Qualitative reasoning about function: A progress report. Submitted to AAAI Workshop on Reasoning About Function.  [QR: Teleology]

Gentner, D., Rattermann, M.J., and Forbus, K.D. (1993). The roles of similarity in transfer: Separating retrievability from inferential soundnessCognitive Psychology 25, 524-575.  [Analogy and Similarity]  [Transfer Learning]

Kim, H. (1993). Qualitative reasoning about fluids and mechanics. Ph.D. dissertation and ILS Technical Report, Northwestern University.  [QR: Qualitative Spatial Reasoning]

Sgouros, N. (1993). Representing physical and design knowledge in innovative design. Dissertation. (UMI Publication No. AAT 9433920. ProQuest document ID: 741138271). [This paper might also be seen under the following title: Representing physical and design knowledge in innovative engineering design].  [QR: Engineering Problem Solving]

1992 [back to the top]

Forbus, K. (1992). Qualitative Spatial Reasoning: Framework and Frontiers. Proceedings of the AAAI Spring Symposium on Diagrammatic Representations, March. [QR: Qualitative Spatial Reasoning]

Forbus, K. and Falkenhainer, B. (1992). Self-Explanatory Simulations: Scaling up to large models. Proceedings of AAAI 1992, San Jose, California, 685-690.  [QR: Self-explanatory Simulators]\

1991 [back to the top]

Collins, J.W. (1991). Diagnosis as failure understanding (Tech. Rep. No. UIUCDCS-R-91-1699/UILU-ENG-91-1745). Urbana-Champaign, IL: University of Illinois at Urbana-Champaign, Department of Computer Science.  [QR: Engineering Problem Solving]

DeCoste, D. (1991). Toward a qualitative theory of safety control: When and how to panic intelligently (Tech. Rep. No. 14). Evanston, IL: Northwestern University, The Institute for the Learning Sciences.  [QR: Engineering Problem Solving]

DeCoste, D. and Collins, J.W. (1991). CATMS: An ATMS which avoids label explosions. (Tech. Rep. No. 13). Evanston, IL: Northwestern University, The Institute for the Learning Sciences.  [Reasoning Techniques]

DeCoste, D. and Collins, J.W. (1991). IQE: An incremental qualitative envisioner. Proceedings of the 5th International Workshop on Qualitative Reasoning about Physical Systems (pp. 58-70). Austin, Texas: QR-91.  [QR: Engineering Problem Solving]

Falkenhainer, B. and Forbus, K. (1991). Compositional modeling: Finding the right model for the job. Artificial Intelligence, 51, 95-143.  [QR: Engineering Problem Solving]

Forbus, K. (1991). The physics of futures past: A response to Sacks and Doyle. Computational Intelligence.  [Position Papers and Commentaries]

Forbus, K. (1991). Towards tutor compilers: Self-explanatory simulations as an enabling technology. Proceedings of the 1990 International Conference on the Learning Sciences, Northwestern University, Evanston, IL, 173-179.  [QR: Self-explanatory Simulators]

Forbus, K. and Gentner, D. (1991). Similarity-based Cognitive Architecture. Proceedings of the AAAI Spring Symposium on Integrated Intelligent Architectures, March. [Analogy and Similarity]

Forbus, K., Nielsen, P., and Faltings, B. (1991). Qualitative spatial reasoning: The CLOCK project. Artificial Intelligence.  [QR: Qualitative Spatial Reasoning]

Gentner, D. and Boronat, C.B. (1991). Metaphors are (sometimes) processed as generative domain-mappings. (Unpublished Draft. Do not cite without permission).  [Analogy and Similarity]

Gentner, D. and Forbus, K. (1991). MAC/FAC: A model of similarity-based retrieval. Proceedings of the Cognitive Science Society.  [Analogy and Similarity]

Skorstad, G. (1991). Finding stable causal interpretations of equations (Tech. Rep. No. UIUCDCS-R-91-1654/Tech Rep. No. UILU-ENG-91-1701). Urbana-Champaign, IL: University of Illinois at Urbana-Champaign, Computer Science Department, Qualitative Reasoning Group.  [QR: Engineering Problem Solving]

Xerox. (1991). Composition modeling of physical systems. (Report No. SSL-91-95, [P91-000181]). Palo Alto, CA: Falkenhainer, B. and Forbus, K.  [QR: Compositional Modeling]

1990 [back to the top]

Collins, J.W. and Forbus, K. (1990). Molecular collections: An ontology for reasoning about fluids. Manuscript submitted for publication. DRAFT, do not cite.  [QR: Engineering Problem Solving]

DeCoste, D. (1990). Dynamic across-time measurement interpretation. Proceedings of the Eighth National Conference on Artificial Intelligence: Vol. 51(1-3). Special issue: Qualitative reasoning about physical systems II, Boston, Masachusetts (pp. 273-341). Menlo Park, California: AAAI Press. (also appears in: Readings in Model-Based Diagnosis, editors Walter Hamscher et al., Morgan Kauffmann, 1992). Scan of paper (poor quality).  [QR: Engineering Problem Solving]

DeCoste, D. (1990). Dynamic across-time measurement interpretation: Maintaining qualitative understandings of physical system behavior (Tech. Rep. No. UIUCDCS-R-90-1572/UILU-ENG-90-1710). Urbana-Champaign, IL: University of Illinois at Urbana-Champaign, Department of Computer Science.  [QR: Engineering Problem Solving]

Falkenhainer, B. (1990). Analogy in Context. DRAFT.  [Analogy and Similarity]

Falkenhainer, B. (1990). A unified approach to explanation and theory formation. In J. Shrager and P. Langley (Eds.), Computational models of scientific discovery and theory formation (pp. 157-196). Morgan Kaufmann Publishers.  [Analogy and Similarity]

Forbus, K. and Falkenhainer, B. (1990). Self-explanatory simulations: An integration of qualitative and quantitative knowledge. Proceedings of the American Association for Artificial Intelligence (AAAI-90).  [QR: Self-explanatory Simulators]

Forbus, K. and Gentner, D. (1990). Similarity-based cognitive architecture.  [Analogy and Similarity]

Forbus, K. and Oblinger, D. (1990). Making SME greedy and pragmatic. Proceedings of the Cognitive Science Society.  [Analogy and Similarity]

Hyun-Kyung, K. (1990). Qualitative kinematics of linkages (Tech Rep. No. UNCDCS-R-90-1603/ UILU-ENG-90-1742). Urbana, Illinois: University of Illinois at Urbana-Champaign, Department of Computer Science.  [QR: Qualitative Spatial Reasoning]

1989 [back to the top]

Collins, J. and Forbus, K.. (1989). Building qualitative models of thermodynamic processes. Proceedings of the Third International Workshop on Qualitative Reasoning (pp.?). Stanford, California: QR-03.  [QR: Qualitative Process Theory]

Falkenhainer, B. (1989). Learning from physical analogies: A study in analogy and the explanation process. Doctoral dissertation, University of Illinois at Urbana-Champaign, Urbana, Illinois. (UMI no. 8916244) [Dissertation]  [Analogy and Similarity]

Falkenhainer, B., Forbus, K. and Gentner, D. (1989). The Structure Mapping Engine: Algorithm and examples. Artificial Intelligence, 41, 1-63.  [Analogy and Similarity]

Forbus, K. (1989). Introducing actions into qualitative simulation. Proceedings of the 11th International Joint Conference on Artificial Intelligence, Vol. 2 (pp. 1273-1278). [Also Tech. Report No. UIUCDCS-R-88-1452]  [QR: Qualitative Process Theory]

Forbus, K. (1989). QPE: A study in assumption-based truth maintenance. International Journal of Artificial Intelligence in Engineering. [QR: Qualitative Process Theory]

Forbus, K. and Gentner, D. (1989). Structural evaluation of analogies: What counts? Proceedings of the Cognitive Science Society.  [Analogy and Similarity]

Skorstad, G. and Forbus, K. (1989). Qualitative and quantitative reasoning about thermodynamics. Proceedings of the Eleventh Annual Conference of the Cognitive Science Society, Ann Arbor, Michigan (pp. 892-899). Hillsdale, NJ: Lawrence Erlbaum Associates.  [QR: Engineering Problem Solving]

1988 [back to the top]

Falkenhainer, B. (1988). Learning from physical analogies: A study in analogy and the explanation process. (Technical Report No. UIUCDCS-R-88-1479). University of Illinios at Urbana-Champaign. (Ph.D. Thesis)  [Analogy and Similarity]

Falkenhainer, B. and Forbus, K. (1988). Setting up Large-Scale Qualitative Models. Proceedings of the American Association for Artificial Intelligence (AAAI-88), St. Paul, MN, 301-306.  [QR: Compositional Modeling]

Forbus, K. (1988). Intelligent computer-aided engineering. AI Magazine, 9(3), 23-36.  [QR: Engineering Problem Solving]  [Position Papers and Commentaries]

Forbus, K. (1988). QPE: Using assumption-based truth maintenance for qualitative simulation. The International Journal for Artificial Intelligence in Engineering, 3(4), 200-215.  [QR: Qualitative Process Theory]

Forbus, K. (1988). Qualitative physics: Past, present, and future. In Exploring Artificial Intelligence (pp. 239-296). San Francisco, California: Morgan-Kaufmann Publishers, Inc.  [QR: Surveys]

Forbus, K. and de Kleer, J. (1988). Focusing the ATMS. Proceedings of AAAI-88, August.  [Reasoning Techniques]

Nielsen, P.E. (1988). A qualitative approach to rigid body mechanics. (Tech. Rep. No. UIUCDCS-R-88-1469; UILU-ENG-88-1775). Urbana, Illinois: University of Illinois at Urbana-Champaign, Department of Computer Science. [Dissertation] [QR: Qualitative Spatial Reasoning]

1987 [back to the top]

Collins, J. and Forbus, K. (1987). Reasoning about fluids via molecular collections. Proceedings of the 6th National Conference on Artificial Intelligence (AAAI-87), Seattle Washington (pp. 590-594).  [QR: Qualitative Process Theory]

Faltings, B.F. (1987). Qualitative kinematics in mechanisms. Doctoral dissertation, University of Illinois at Urbana-Champaign, Urbana, Illinois. (UMI no. 8803034) [Dissertation] [QR: Qualitative Spatial Reasoning]

Forbus, K. (1987). Interpreting observations of physical systems. IEEE Transactions on Systems, Man, and Cybernetics, SMC-17(3), 350-359.  [QR: Qualitative Process Theory]

Forbus, K. (1987). The logic of occurrence. Proceedings of IJCAI-87, Milan, Italy, August. [QR: Qualitative Process Theory]

Forbus, K., Nielsen, P., and Faltings, B. (1987). Qualitative kinematics: A framework. Proceedings of IJCAI-87, Milan, Italy, August. [QR: Qualitative Spatial Reasoning]

1986 [back to the top]

Falkenhainer, B., Forbus, K. and Gentner, D. (1986). The Structure-Mapping Engine. (Tech. Rep. No. UIUCDCS-R-86-1275, UILU-ENG-86-1732). Urbana, Illinois: University of Illinois at Urbana-Champaign, Department of Computer Science.  [Analogy and Similarity]

Falkenhainer, B., Forbus, K. and Gentner, D. (1986). The Structure-Mapping Engine. Proceedings of the Fifth National Conference on Artificial Intelligence.  [Analogy and Similarity]

Forbus, K. (1986). Interpreting measurements of physical systems. Proceedings of AAAI-86, Philadelphia, PA., August. [QR: Qualitative Process Theory]

Forbus, K. (1986). The logic of occurrence. Proceedings of the 10th International Joint Conference on Artificial Intelligence.  [QR: Qualitative Process Theory]

Forbus, K. and Gentner, D. (1986). Learning Physical Domains: Towards a Theoretical Framework. In Michalski, R., Carbonell, J. and Mitchell, T. (Eds.), Machine Learning: An Artificial Intelligence Approach, Volume 2. Tioga press.  [Analogy and Similarity]

Forbus, K. and Gentner, D. (1986). Causal reasoning about quantities. In Proceedings of the Eighth Annual Conference of the Cognitive Science Society (pp. 196-207). Amherst, Massachusetts: Lawrence Erlbaum & Associates.  [QR: Qualitative Process Theory]

1985 [back to the top]

Forbus, K. (1985). The problem of existence. (Tech. Rep. No. UIUCDCS-R-85-1239; UILU-ENG-85-1747). Urbana, Illinois: University of Illinois at Urbana-Champaign, Department of Computer Science.  [QR: Qualitative Process Theory]

1984 [back to the top]

Forbus, K. (1984). Qualitative process theory. Artificial Intelligence, 24, 85-168.  [QR: Qualitative Process Theory]

1983 [back to the top]

Forbus, K. (1983). Measurement interpretation in qualitative process theory. IJCAI-83  [QR: Qualitative Process Theory]

Forbus, K. (1983). Qualitative reasoning about space and motion. In Gentner, D. and Stevens, A. (Eds.), Mental Models, LEA Associates, Inc., New Jersey.  [QR: Qualitative Spatial Reasoning]

Forbus, K. and Gentner, D. (1983). Learning Physical Domains:  Towards a theoretical framework. Proceedings of the 1983 International Machine Learning Workshop, Monticello, Illinois, June. [Analogy and Similarity]

1982 [back to the top]

Forbus, K. (1982). Modelling motion with qualitative process theory. Proceedings of the Second National Conference on Artificial Intelligence, August. [QR: Qualitative Spatial Reasoning] [QR: Qualitative Process Theory]

1981 [back to the top]

Forbus, K. (1981). Qualitative reasoning about physical processes. Proceedings of the seventh International Joint Conference on Artificial Intelligence, August. [QR: Qualitative Spatial Reasoning]

Forbus, K. and Stevens, A. (1981). Using Qualitative Simulation to Generate Explanations. In Proceedings of the Third Annual Conference of the Cognitive Science Society (pp. 219-221). Berkeley, California.  [QR: Engineering Problem Solving]

1980 [back to the top]

Forbus, K. (1980). Spatial and qualitative aspects of reasoning about motion. Proceedings of the First National Conference on Artificial Intelligence (AAAI-'80), August. Stanford, California.  [QR: Qualitative Spatial Reasoning]

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