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Kenneth D Forbus

 https://orcid.org/0000-0003-2067-5227
Calculated based on number of publications stored in Pure and citations from Scopus
Calculated based on number of publications stored in Pure and citations from Scopus
Calculated based on number of publications stored in Pure and citations from Scopus
1978 …2024

Research activity per year

Search results

  • 2024

    Normative Testimony and Belief Functions: A Formal Theory of Norm Learning

    Olson, T. & Forbus, K. D., 2024, Proceedings of the 33rd International Joint Conference on Artificial Intelligence, IJCAI 2024. Larson, K. (ed.). International Joint Conferences on Artificial Intelligence, p. 476-484 9 p. (IJCAI International Joint Conference on Artificial Intelligence).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2023

    Analogical Reasoning, Generalization, and Rule Learning for Common Law Reasoning

    Blass, J. & Forbus, K. D., Jun 19 2023, 19th International Conference on Artificial Intelligence and Law, ICAIL 2023 - Proceedings of the Conference. Association for Computing Machinery, Inc, p. 32-41 10 p. (19th International Conference on Artificial Intelligence and Law, ICAIL 2023 - Proceedings of the Conference).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    1 Scopus citations

  • Mitigating Adversarial Norm Training with Moral Axioms

    Olson, T. & Forbus, K. D., Jun 27 2023, AAAI-23 Technical Tracks 10. Williams, B., Chen, Y. & Neville, J. (eds.). AAAI Press, p. 11882-11889 8 p. (Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023; vol. 37).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
    2 Scopus citations

  • Sketch Recognition via Part-based Hierarchical Analogical Learning

    Chen, K., Forbus, K., Srinivasan, B. V., Chhaya, N. & Usher, M., 2023, Proceedings of the 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023. Elkind, E. (ed.). International Joint Conferences on Artificial Intelligence, p. 2967-2974 8 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2023-August).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access

  • Towards Zero-Shot Frame Semantic Parsing with Task Agnostic Ontologies and Simple Labels

    Ribeiro, D., Abdar, O., Goetz, J., Ross, M., Dong, A., Forbus, K. & Mohamed, A., 2023, 2nd Workshop on Pattern-Based Approaches to NLP in the Age of Deep Learning, Pan-DL 2023 - Proceedings of the Workshop. Surdeanu, M., Riloff, E., Chiticariu, L., Freitag, D., Hahn-Powell, G., Morrison, C. T., Noriega-Atala, E., Sharp, R. & Valenzuela-Escarcega, M. (eds.). Association for Computational Linguistics (ACL), p. 54-63 10 p. (2nd Workshop on Pattern-Based Approaches to NLP in the Age of Deep Learning, Pan-DL 2023 - Proceedings of the Workshop).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    1 Scopus citations
  • 2022

    An Analogical Model of Pretense

    Rabkina, I. & Forbus, K. D., Mar 2022, In: Cognitive Science. 46, 3, e13112.

    Research output: Contribution to journal › Article › peer-review

    1 Scopus citations

  • Qualitative reasoning

    Forbus, K., May 30 2022, Computing Handbook: Two-Volume Set. CRC Press, p. 1-21 21 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • The Illinois Intentional Tort Qualitative Dataset

    Blass, J. & Forbus, K., Dec 5 2022, Legal Knowledge and Information Systems - JURIX 2022: The 35th Annual Conference. Francesconi, E., Borges, G. & Sorge, C. (eds.). IOS Press BV, p. 151-157 7 p. (Frontiers in Artificial Intelligence and Applications; vol. 362).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
    1 Scopus citations
  • 2021

    Neural Analogical Matching

    Crouse, M., Nakos, C., Abdelaziz, I. & Forbus, K., 2021, 35th AAAI Conference on Artificial Intelligence, AAAI 2021. Association for the Advancement of Artificial Intelligence, p. 809-817 9 p. (35th AAAI Conference on Artificial Intelligence, AAAI 2021; vol. 1).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
    2 Scopus citations

  • NICE: Neural Image Commenting with Empathy

    Chen, K., Huang, Q., McDuff, D., Gao, X., Palangi, H., Wang, J., Forbus, K. & Gao, J., 2021, Findings of the Association for Computational Linguistics, Findings of ACL: EMNLP 2021. Moens, M.-F., Huang, X., Specia, L. & Yih, S.W.-T. (eds.). Association for Computational Linguistics (ACL), p. 4456-4472 17 p. (Findings of the Association for Computational Linguistics, Findings of ACL: EMNLP 2021).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    4 Scopus citations

  • Same/different in visual reasoning

    Forbus, K. D. & Lovett, A., Feb 2021, In: Current Opinion in Behavioral Sciences. 37, p. 63-68 6 p.

    Research output: Contribution to journal › Review article › peer-review

    Open Access
    4 Scopus citations

  • Visual Relation Detection Using Hybrid Analogical Learning

    Chen, K. & Forbus, K., 2021, 35th AAAI Conference on Artificial Intelligence, AAAI 2021. Association for the Advancement of Artificial Intelligence, p. 801-808 8 p. (35th AAAI Conference on Artificial Intelligence, AAAI 2021; vol. 1).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
  • 2020

    Anticipatory thinking in multi-agent environments: The role of theory of mind

    Rabkina, I., Nakos, C. & Forbus, K. D., 2020, In: CEUR Workshop Proceedings. 2558

    Research output: Contribution to journal › Conference article › peer-review

  • Corrective Processes in Modeling Reference Resolution

    Nakos, C., Rabkina, I., Hill, S. & Forbus, K. D., 2020, p. 171-177. 7 p.

    Research output: Contribution to conference › Paper › peer-review

    1 Scopus citations

  • Mapping natural-language problems to formal-language solutions using structured neural representations

    Chen, K., Huang, Q., Palangi, H., Smolensky, P., Forbus, K. D. & Gao, J., 2020, 37th International Conference on Machine Learning, ICML 2020. Daume, H. & Singh, A. (eds.). International Machine Learning Society (IMLS), p. 1544-1553 10 p. (37th International Conference on Machine Learning, ICML 2020; vol. PartF168147-2).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    14 Scopus citations

  • Simulating Infant Visual Learning by Comparison: An Initial Model

    Chen, K., Forbus, K. D., Gentner, D., Hespos, S. J. & Anderson, E. M., 2020, p. 2247-2253. 7 p.

    Research output: Contribution to conference › Paper › peer-review

    2 Scopus citations

  • Sketch worksheets in science, technology, engineering, and mathematics classrooms: Two deployments

    Forbus, K. D., Garnier, B., Tikoff, B., Marko, W., Usher, M. & McLure, M., Mar 2020, In: AI Magazine. 41, 1, p. 19-32 14 p.

    Research output: Contribution to journal › Article › peer-review

    Open Access
    2 Scopus citations
  • 2019

    Children's Sentential Complement Use Leads the Theory of Mind Development Period: Evidence from the CHILDES Corpus

    Rabkina, I., Nakos, C. & Forbus, K. D., 2019, Proceedings of the 41st Annual Meeting of the Cognitive Science Society: Creativity + Cognition + Computation, CogSci 2019. The Cognitive Science Society, p. 2634-2639 6 p. (Proceedings of the 41st Annual Meeting of the Cognitive Science Society: Creativity + Cognition + Computation, CogSci 2019).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    3 Scopus citations

  • Expanding and Repositioning Cognitive Science

    Rosenbloom, P. S. & Forbus, K. D., Oct 1 2019, In: Topics in Cognitive Science. 11, 4, p. 918-927 10 p.

    Research output: Contribution to journal › Comment/debate › peer-review

    Open Access
    5 Scopus citations

  • How Does Current AI Stack Up Against Human Intelligence?

    Forbus, K., Gentner, D., Laird, J. E., Shultz, T., Nobandegani, A. S. & Thagard, P., 2019, Proceedings of the 41st Annual Meeting of the Cognitive Science Society: Creativity + Cognition + Computation, CogSci 2019. The Cognitive Science Society, p. 27-28 2 p. (Proceedings of the 41st Annual Meeting of the Cognitive Science Society: Creativity + Cognition + Computation, CogSci 2019).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Human-like sketch object recognition v ia analogical learning

    Chen, K., Rabkina, I., McLure, M. D. & Forbus, K. D., 2019, 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019. AAAI Press, p. 1336-1343 8 p. (33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
    12 Scopus citations
  • 2018

    Action recognition from skeleton data via analogical generalization over qualitative representations

    Chen, K. & Forbus, K. D., Jan 1 2018, 32nd AAAI Conference on Artificial Intelligence, AAAI 2018. AAAI Press, p. 638-645 8 p. (32nd AAAI Conference on Artificial Intelligence, AAAI 2018).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    7 Scopus citations

  • Bootstrapping from Language in the Analogical Theory of Mind Model

    Rabkina, I., McFate, C. & Forbus, K. D., 2018, Proceedings of the 40th Annual Meeting of the Cognitive Science Society, CogSci 2018. The Cognitive Science Society, p. 924-929 6 p. (Proceedings of the 40th Annual Meeting of the Cognitive Science Society, CogSci 2018).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    5 Scopus citations

  • Integrating Sketch Worksheets into GIFT

    Forbus, K. D., Hinrichs, T. R., Hill, S. & Usher, M., 2018, Proceedings of the 6th Annual GIFT Users Symposium (GIFTSym6). Sottilare, R. (ed.). p. 87-93 7 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Learning from unannotated QA pairs to analogically disambiguate and answer questions

    Crouse, M., McFate, C. & Forbus, K. D., 2018, 32nd AAAI Conference on Artificial Intelligence, AAAI 2018. AAAI Press, p. 654-662 9 p. (32nd AAAI Conference on Artificial Intelligence, AAAI 2018).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    5 Scopus citations

  • Learning to Build Qualitative Scenario Models From Natural Language

    Crouse, M., McFate, C. & Forbus, K. D., 2018, Proceedings of the QR’18. Falomir, Z., Coghill, G. M. & Pang, W. (eds.). p. 32-39 8 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Qualitative Reasoning for Decision-Making: A Preliminary Report

    Forbus, K. D. & Hinrichs, T. R., 2018, Proceedings of the QR’18. Falomir, Z., Coghill, G. M. & Pang, W. (eds.). p. 9-15 7 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Relational Categories: Why they’re Important and How they are Learned

    Gentner, D., Simms, N., Kurtz, K. J., Honke, G., Snoddy, S., Forbus, K. D., Richland, L. E., Matlen, B. J., Lyons, E. M. & Klostermann, E. C., 2018, CogSci 2018 Proceedings: changing/minds. Kalish, C., Rau, M., Zhu, J. & Rogers, T. (eds.). p. 27-28 2 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Representing, Running, and Revising Mental Models: A Computational Model

    Friedman, S., Forbus, K. D. & Sherin, B. L., May 2018, In: Cognitive Science. 42, 4, p. 1110-1145 36 p.

    Research output: Contribution to journal › Article › peer-review

    Open Access
    11 Scopus citations

  • Sketching as a modality in intelligent tutoring systems

    Long, R., Forbus, K. D., Hinrichs, T. R. & Hill, S., 2018, HCI International 2018 – Posters’ Extended Abstracts - 20th International Conference, HCI International 2018, Proceedings. Stephanidis, C. (ed.). Springer Verlag, p. 65-72 8 p. (Communications in Computer and Information Science; vol. 852).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    2 Scopus citations

  • Sketch worksheets in STEM classrooms: Two deployments

    Forbus, K. D., Garnier, B., Tikoff, B., Marko, W., Usher, M. & Matthew McLure, M., 2018, Proceedings of the 30th Innovative Applications of Artificial Intelligence Conference, IAAI 2018. Youngblood, G. M. & Myers, K. (eds.). The AAAI Press, p. 7665-7672 8 p. (Proceedings of the 30th Innovative Applications of Artificial Intelligence Conference, IAAI 2018).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    1 Scopus citations

  • Sketch worksheets in STEM classrooms: Two deployments

    Forbus, K. D., Garnier, B., Tikoff, B., Marko, W., Usher, M. & McLure, M., 2018, 32nd AAAI Conference on Artificial Intelligence, AAAI 2018. AAAI Press, p. 7665-7672 8 p. (32nd AAAI Conference on Artificial Intelligence, AAAI 2018).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    4 Scopus citations
  • 2017

    Analogical Chaining with Natural Language Instruction for Commonsense Reasoning

    Blass, J. A. & Forbus, K. D., 2017, Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17). p. 4357-4363 7 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Analogy and Episodic Memory to Support Domain Learning in a Cognitive Architecture: An Exploration

    Forbus, K. D., 2017, CogSci 2017 - Proceedings of the 39th Annual Meeting of the Cognitive Science Society: Computational Foundations of Cognition. The Cognitive Science Society, p. 1449-1450 2 p. (CogSci 2017 - Proceedings of the 39th Annual Meeting of the Cognitive Science Society: Computational Foundations of Cognition).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Analogy and qualitative representations in the companion cognitive architecture

    Forbus, K. D. & Hinrichs, T. R., Dec 1 2017, In: AI Magazine. 38, 4, p. 34-42 9 p.

    Research output: Contribution to journal › Article › peer-review

    Open Access
    16 Scopus citations

  • A proposal for incorporating analogically learned construction in a feature based parsing framework

    McFate, C. J. & Forbus, K. D., 2017, SS-17-01: Artificial Intelligene for the Social Good; SS-17-02: Computational Construction Grammar and Natural Language Understanding; SS-17-03: Computational Context: Why It's Important, What It Means, and Can It Be Computed?; SS-17-04: Designing the User Experience of Machine Learning Systems; SS-17-05: Interactive Multisensory Object Perception for Embodied Agents; SS-17-06: Learning from Observation of Humans; SS-17-07: Science of Intelligence: Computational Principles of Natural and Artificial Intelligence; SS-17-08: Wellbeing AI: From Machine Learning to Subjectivity Oriented Computing. AI Access Foundation, p. 230-237 8 p. (AAAI Spring Symposium - Technical Report; vol. SS-17-01 - SS-17-08).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Collaborative autonomy through analogical comic graphs

    Klenk, M., Mohan, S., De Kleer, J., Bobrow, D. G., Hinrichs, T. R. & Forbus, K. D., 2017, WS-17-01: Artificial Intelligence and Operations Research for Social Good; WS-17-02: Artificial Intelligence, Ethics, and Society; WS-17-03: Artificial Intelligence for Connected and Automated Vehicles; WS-17-04: Artificial Intelligence for Cyber Security; WS-17-05: Artificial Intelligence for Smart Grids and Buildings; WS-17-06: Computer Poker and Imperfect Information Games; WS-17-07: Crowdsourcing, Deep Learning and Artificial Intelligence Agents; WS-17-08: Distributed Machine Learning; WS-17-09: Joint Workshop on Health Intelligence; WS-17-10: Human-Aware Artificial Intelligence; WS-17-11: Human-Machine Collaborative Learning; WS-17-12: Knowledge-Based Techniques for Problem Solving and Reasoning; WS-17-13: Plan, Activity, and Intent Recognition; WS-17-14: Symbolic Inference and Optimization; WS-17-15: What's Next for AI in Games?. AI Access Foundation, p. 680-683 4 p. (AAAI Workshop - Technical Report; vol. WS-17-01 - WS-17-15).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Demo: Using Qualitative Reasoning in Natural Language Question-Answering

    Forbus, K. D., Crouse, M. & McFate, C., 2017, Proceedings of the QR’17.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Editors' Introduction: Sketching and Cognition

    Forbus, K. D. & Ainsworth, S., Oct 2017, In: Topics in Cognitive Science. 9, 4, p. 864-865 2 p.

    Research output: Contribution to journal › Editorial › peer-review

    Open Access
    13 Scopus citations

  • Evidence from machines that learn and think like people

    Forbus, K. D. & Gentner, D., 2017, In: Behavioral and Brain Sciences. 40, p. 35-36 2 p., e264.

    Research output: Contribution to journal › Comment/debate

    Open Access
    3 Scopus citations

  • Extending SME to Handle Large-Scale Cognitive Modeling

    Forbus, K. D., Ferguson, R. W., Lovett, A. & Gentner, D., Jul 2017, In: Cognitive Science. 41, 5, p. 1152-1201 50 p.

    Research output: Contribution to journal › Article › peer-review

    Open Access
    77 Scopus citations

  • Interactive Task Learning

    Laird, J. E., Gluck, K., Anderson, J., Forbus, K. D., Jenkins, O. C., Lebiere, C., Salvucci, D., Scheutz, M., Thomaz, A., Trafton, G., Wray, R. E., Mohan, S. & Kirk, J. R., 2017, In: IEEE Intelligent Systems. 32, 4, p. 6-21 16 p., 8012335.

    Research output: Contribution to journal › Article › peer-review

    76 Scopus citations

  • Modeling visual problem solving as analogical reasoning

    Lovett, A. & Forbus, K. D., Jan 1 2017, In: Psychological Review. 124, 1, p. 60-90 31 p.

    Research output: Contribution to journal › Article › peer-review

    97 Scopus citations

  • Neural symbolic machines: Learning semantic parsers on freebase with weak supervision

    Liang, C., Berant, J., Le, Q., Forbus, K. D. & Lao, N., 2017, ACL 2017 - 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers). Association for Computational Linguistics (ACL), p. 23-33 11 p. (ACL 2017 - 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers); vol. 1).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    228 Scopus citations

  • Representation and Computation in Cognitive Models

    Forbus, K. D., Liang, C. & Rabkina, I., Jul 2017, In: Topics in Cognitive Science. 9, 3, p. 694-718 25 p.

    Research output: Contribution to journal › Article › peer-review

    Open Access
    13 Scopus citations

  • The Cognitive Science of Sketch Worksheets

    Forbus, K. D., Chang, M., McLure, M. & Usher, M., Oct 2017, In: Topics in Cognitive Science. 9, 4, p. 921-942 22 p.

    Research output: Contribution to journal › Article › peer-review

    Open Access
    12 Scopus citations

  • Towards a comprehensive Standard Model of human-like minds

    Hinrichs, T. R. & Forbus, K. D., 2017, FS-17-01: Artificial Intelligence for Human-Robot Interaction; FS-17-02: Cognitive Assistance in Government and Public Sector Applications; FS-17-03: Deep Models and Artificial Intelligence for Military Applications: Potentials, Theories, Practices, Tools and Risks; FS-17-04: Human-Agent Groups: Studies, Algorithms and Challenges; FS-17-05: A Standard Model of the Mind. AI Access Foundation, p. 359-364 6 p. (AAAI Fall Symposium - Technical Report; vol. FS-17-01 - FS-17-05).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Towards a Computational Analogical Theory of Mind

    Rabkina, I., McFate, C., Forbus, K. D. & Hoyos, C., 2017, CogSci 2017 - Proceedings of the 39th Annual Meeting of the Cognitive Science Society: Computational Foundations of Cognition. The Cognitive Science Society, p. 2949-2954 6 p. (CogSci 2017 - Proceedings of the 39th Annual Meeting of the Cognitive Science Society: Computational Foundations of Cognition).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    12 Scopus citations

  • Towards a domain-independent method for evaluating and scoring analogical inferences

    Blass, J. A., Rabkina, I. & Forbus, K. D., 2017, In: CEUR Workshop Proceedings. 2028, p. 43-52 10 p.

    Research output: Contribution to journal › Conference article › peer-review

  • Towards an Analogical Theory of Mind

    Rabkina, I., McFate, C., Forbus, K. D. & Hoyos, C., 2017, Proceedings of CogSci 2017. Granger, R., Hahn, U. & Sutton, R. (eds.). London Computational Foundations of Cognition, p. 2949-2954 6 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution