Faculty Directory
Ken Forbus

Walter P. Murphy Professor of Computer Science

Contact

2233 Tech Drive
Mudd Room 3113
Evanston, IL 60208-3109

847-491-7699Email Ken Forbus

Website

Qualitative Reasoning Group

Ken Forbus' Homepage

Departments

Computer Science

Affiliations

Master of Science in Artificial Intelligence

Education

Ph.D. Artificial Intelligence, MIT, Cambridge, MA

S.M. Computer Science, MIT, Cambridge, MA

S.B. Computer Science, MIT, Cambridge, MA


Research Interests

Kenneth D. Forbus is the Walter P. Murphy Professor of Computer Science and Professor of Education at Northwestern University. He received his degrees from MIT (Ph.D. in 1984). His research interests include qualitative reasoning, analogical reasoning and learning, spatial reasoning, sketch understanding, natural language understanding, cognitive architecture, reasoning system design, intelligent educational software, and the use of AI in interactive entertainment. He is a Fellow of the Association for the Advancement of Artificial Intelligence, the Cognitive Science Society, the Association for Computing Machinery, and the American Association for the Advancement of Science. He has received the Humboldt Research Award, served as Chair of the Cognitive Science Society and was the inaugural winner of the Herbert A. Simon Prize for Advances in Cognitive Systems.


Selected Publications

  • Olson, Taylor; Forbus, Kenneth D., Mitigating Adversarial Norm Training with Moral Axioms, AAAI Press (2023).
  • Blass, Joseph; Forbus, Kenneth, The Illinois Intentional Tort Qualitative Dataset, IOS Press BV (2022).
  • Rabkina, Irina; Forbus, Kenneth D., An Analogical Model of Pretense, Cognitive Science (2022).
  • Forbus, Kenneth D.; Lovett, Andrew, Same/different in visual reasoning, Current Opinion in Behavioral Sciences 37:63-68 (2021).
  • Crouse, Maxwell; McFate, Clifton; Forbus, Kenneth D, Learning from unannotated QA pairs to analogically disambiguate and answer questions, AAAI Press:654-662 (2018).
  • Chen, Kezhen; Forbus, Kenneth D, Action recognition from skeleton data via analogical generalization over qualitative representations, AAAI Press:638-645 (2018).
  • Forbus, Kenneth D; Hinrichs, Thomas R, Qualitative Reasoning for Decision-Making, :9-15 (2018).
  • Forbus, Kenneth D; Hinrichs, Thomas R, Analogy and qualitative representations in the companion cognitive architecture, AI Magazine 38(4):34-42 (2017).
  • Blass, Joseph A.; Forbus, Kenneth D, Analogical Chaining with Natural Language Instruction for Commonsense Reasoning, :4357-4363 (2017).
  • Rabkina, Irina; McFate, Clifton; Forbus, Kenneth D; Hoyos, Christian, Towards an Analogical Theory of Mind, London Computational Foundations of Cognition:2949-2954 (2017).
  • Forbus, Kenneth D, Analogy and Episodic Memory to Support Domain Learning in a Cognitive Architecture: An Exploration, London Computational Foundations of Cognition:1449-1450 (2017).
  • Forbus, Kenneth D; Liang, Chen; Rabkina, Irina, Representation and Computation in Cognitive Models, Topics in Cognitive Science 9(3):694-718 (2017).
  • Forbus, Kenneth D; Chang, Maria; McLure, Matthew; Usher, Madeline, The Cognitive Science of Sketch Worksheets, Topics in Cognitive Science 9(4):921-942 (2017).
  • Lovett, Andrew; Forbus, Kenneth D, Modeling visual problem solving as analogical reasoning, Psychological Review 124(1):60-90 (2017).
  • Forbus, Kenneth D, Software social organisms, AI Magazine 37(1):85-90 (2016).
  • Bredeweg, B.; Forbus, Kenneth D, Qualitative Representations for Education, US Army Research Laboratory:57-68 (2016).
  • Forbus, Kenneth D, Sketch Understanding for Education, US Army Research Laboratory:225-235 (2016).
  • Barbella, David M.; Forbus, Kenneth D, Exploiting Connectivity for Case Construction in Learning by Reading, Advances in Cognitive Systems 4:169-186 (2016).
  • Forbus, Kenneth D.; Ferguson, Ronald W.; Lovett, Andrew; Gentner, Dedre, Extending SME to Handle Large-Scale Cognitive Modeling, Cognitive Science 41(5):1152-1201 (2016).
  • Hinrichs, Thomas R; Forbus, Kenneth D, Qualitative Models for Strategic Planning, Advances in Cognitive Systems 4:75-92 (2016).