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HCC Cog Sci 2007

Cognitive Science 2007

1. Anderson, J. R. (1993). Rules of the Mind. Chapters 1-4.

2. Barsalou, L. W. (1999). Perceptual Symbol Systems. Behavior and Brain Sciences.

3. Dunbar, K. (1995). How scientists really reason: Scientific reasoning in real-world laboratories. In R. J. Sternberg & J. E. Davidson (Eds.), The Nature of Insight (pp. 365-395). Cambridge, MA: The MIT Press.

4. Ferguson, R. W. (2000). Modeling orientation effects in symmetry detection: The role of visual structure, Proceedings of the 22nd Conference of the Cognitive Science Society (pp. 143). Hillsdale, New Jersey: Erlbaum.

5. Fodor, J. A. (1983). Modularity of Mind. Cambridge, MA: MIT Press.

6. Forbus, K. D., Gentner, D., & Law, K. (1995). MAC/FAC: A model of similarity-based retrieval. Cognitive Science, 19(2), 144-206.

7. Gentner, D. (1989). The mechanisms of analogical learning. In S. Vosniadou & A. Ortony (Eds.), Similarity and Analogical Reasoning (pp. 199-241). London: Cambridge University Press.

8. Goel, A.K. (1997) Design, analogy and creativity. IEEE Intelligent Systems, 12(3):62-70, May/June 1997.

9. Greeno, J. The Situativity of Knowing, Learning, and Research, American Psychologist. 53(1), 1996, 5-26.

10. Haugeland, J. (1997). Mind Design II: Philosophy, Psychology, Artificial Intelligence. Cambridge, MA: MIT Press, Chapters by Turing, Dennett, Newell and Simon, Searle, Rumelhart, Smolensky, Clark, Brooks.

11. Holyoak, K. J., & Thagard, P. (1989). Analogical mapping by constraint satisfaction. Cognitive Science, 13, 295-355.

12. Hutchins, E. (1995) How the cockpit remembers its speed. Cognitive Science, 19:265–288.

13. Kolodner, J.L. (1993). Case-based reasoning. Morgan Kaufmann, Calif., US.

14. Kolodner, J. L. (1997). Educational implications of analogy: A view from case-based reasoning. American Psychologist, 52(1), 57-66.

15. Lakoff, G., & Johnson, M. (1980). Metaphors We Live By. Chicago: The University of Chicago Press.

16. Larkin, J. H. (1987). Why a diagram is (sometimes) worth ten thousand words. Cognitive Science, 11, 65-99.

17. Markman, A. B. (1999). Knowledge Representation. Mahwah, NJ: Lawrence Erlbaum Associates.

18. Nersessian, N. J. (1991). How do scientists think? Capturing the dynamics of conceptual change in science. In R. N. Giere (Ed.), Cognitive Models of Science (pp. 3-44). Minneapolis: University of Minnesota Press.

19. Nersessian, N. (2005) Interpreting scientific and engineering practices: Integrating the cognitive, social, and cultural dimensions. In Scientific and Technological Thinking, M. Gorman, R. Tweney, D. Gooding, & A. Kincannon, eds. (Erlbaum). pp. 17-56; available off her webpage..

20. Ram, A. & Leake, D. (Eds.)(1995) Goal-driven Learning, Cambridge, MA: MIT Press/Bradford Books

21. Ram, A. (1993). Creative conceptual change. Proceedings of the Fifteenth Annual Conference of the Cognitive Science Society.

22. Schank, R. C. (1982). Dynamic Memory: A Theory of Reminding and Learning in Computers and People. Hillsdale, NJ: Erlbaum.

23. R. Schank & H. Abelson (1977). Scripts, Plans, Goals and Understanding. Chapters 1-3.

24. Tomasello, M. (2000). The Cultural Origins of Human Cognition. Harvard University Press. Online version.

25. Tversky, A. (1977). Features of similarity. Psychological Review, 84(4), 327-352.

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