Measuring the level of transfer learning by an AP physics problem-solver

Proceedings of the National Conference on Artificial Intelligence

Volumn 1, Issue , 2007, Pages 446-451

  Klenk, Matthew ^a   Forbus, Ken ^a  

^a NORTHWESTERN UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ABSTRACTING; INFORMATION SERVICES; MATHEMATICAL MODELS; PROBLEM SOLVING;

ANALOGICAL MODEL FORMULATION; AP PHYSICS PROBLEMS; MATHEMATICAL SKILLS;

INTELLIGENT AGENTS;

EID: 36349017752     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (27)

1. Barker, K., Chaudhri, V., Chaw, Yi, S., Clark, P., Fan, J., Israel, D., Mishra, S., Porter, B., Romero, P., Tecuci, D., and Yeh, P. 2004. A Question Answering System for AP Chemistry: Assessing KR Technologies. Proc. of the 9th international Conference on Knowledge Representation and Reasoning.
2. Bundy, A. 1979. Solving mechanics problems using metalevel inference. Proc. of IJCAI-79.
3. de Kleer, J. 1977. Multiple representations of knowledge in a mechanics problem solver, pp.299-304. Proc. of IJCAI-77.
4. Falkenhainer, B. 1992. Modeling without amnesia: Making experience-sanctioned approximations. Proc. of QR02.
5. Falkenhainer, B., Forbus, K. and Gentner, D. 1989. The Structure-Mapping Engine: Algorithm and examples. Artficial Intelligence. 41.
6. Falkenhainer, B. & Forbus, K. 1991. Compositional modeling: finding the right model for the job. Artificial Intelligence 51.
7. Flores, J. & Cerda, J. 2000. Efficient modeling of linear circuits to perform qualitative reasoning tasks. AI Communiations, 13(2).
8. Forbus, K. 1984. Qualitative process theory. Artificial Intelligence 24:85-168.
9. Forbus, K. 2001. Exploring analogy in the large. In Gentner, D., Holyoak, K., and Kokinov, B. (Eds.) Analogy: Perspectives from Cognitive Science. MIT Press.
10. Forbus, K. & de Kleer, J. 1993. Building Problem Solvers, MIT Press.
11. Forbus, K., Ferguson, R., and Gentner, D. 1994a. Incremental structure-mapping. Proc. of CogSci-1994.
12. Forbus, K., Gentner, D., and Law, K. 1994b. MAC/FAC: A model of similarity-based retrieval. Cognitive Science, 19.
13. Forbus, K. & Hinrichs, T. 2006. Companion Cognitive Systems: A step towards Human-Level AI. AI Magazine, 27(2)
14. Forbus, K. & Oblinger, D. 1991. Making SME greedy and pragmatic. Proc. of CogSci-1990
15. Gentner, D. 1983. Structure-mapping: A theoretical framework for analogy, Cognitive Science 7(2).
16. Klenk, M., Forbus, K., Tomai, E., Kim,H., and Kyckelhahn, B. 2005. Solving Everyday Physical Reasoning Problems by Analogy using Sketches, Proc. of AAAI-05. Pittsburgh, PA.
17. Kuehne, S., Forbus, K., Gentner, D., and Quinn, B. 2000. SEQL: Category learning as incremental abstraction using structure mapping. Proc. of CogSci-2000.
18. Liu, Y., & Stone, P. Value-Function-Based Transfer for Reinforcement Learning Using Structure Mapping. Proc. ofAAAI-06. Boston, MA.
19. Melis, E. & Whittle, J. 1999. Analogy in inductive theorem proving. Journal of Automated Reasoning, 22. Kluwer.
20. Nayak, P. 1994. Causal approximations. Artificial Intelligence. 70.
21. Novak, G.S. 1977. Representation of Knowledge in a Program for Solving Physics Problems. Proc. of IJCAI-77.
22. Olson, H. 1966. Solutions of Engineering Problems by Dynamical Analogies, D. Van Nostrand.
23. Ouyang, T. & Forbus, K. 2006. Strategy variations in analogical problem solving. Proc. of AAAI-06.
24. Rickel, J. & Porter, B. 1994. Automated modeling for answering prediction questions: selecting the time scale and system boundary. Proc. of AAAI-94.
25. Sharma, M., Holmes, M., Santamaria, JC., Irani, A., Isbell, C., and Ram, A. 2007. Transfer Learning in Real-Time Strategy Games Using Hybrid CBR/RL Proc. of IJCAI-07.
26. VanLehn, K. 1998. Analogy Events: How Examples are Used During Problem Solving. Cognitive Science 22(19): 347-388.
27. Veloso, M. & Carbonell, J. 1993. Derivational analogy in PRODIGY: Automating case acquisition, storage, and utilization. Machine Learning, 10.