Damien Sullivan's Orals list

27 Mar 2006

Committee members

  • Concepts, categorization, and concept learning
    1. Nosofsky, R. M. (1984). Choice, similarity, and the context theory of classification. Journal of Experimental Psychology: Learning, Memory, and Cognition, 10, 104-114.
    2. Kruschke, J. K., (1992). ALCOVE: An exemplar-based connectionist model of category learning. Psychological Review, 99, 22-44.
    3. Love, B. C., Medin, D. L., & Gureckis, T. M. (in press). SUSTAIN: A Network Model of Category Learning. Psychological Review
    4. Sloman, Steven Psychological Bulletin 1996, Vol. 119. No. I, 3-22. The Empirical Case for Two Systems of Reasoning
    5. Medin, D. L., Wattenmaker, W. D., & Michalski, R. S. (1987). Constraints and preferences in inductive learning: An experimental study of human and machine performance. Cognitive Science, 11, 299-339.
      • These aren't part of the formal orals list, just references from the above paper, so I can access them easily
      • Lebowitz learning
      • Whitman concepts
      • Stephen Pinker formal learning models
    6. Smith, E. E., & Sloman, S. A. (1994). Similarity- versus rule-based categorization. Memory and Cognition, 22, 377-386.
    7. Goldstone, R. L. (2003). Learning to perceive while perceiving to learn. In R. Kimchi, M. Behrmann, & C. Olson (Eds.) Perceptual organization in vision: Behavioral and neural perspectives. (pp. 233-278). New Jersey: Lawrence Erlbaum Associates.
    8. Barsalou, L. (1999). Perceptual symbol systems. Behavioral and Brain Sciences, 22, 577-660. [target article and commentaries]
  • Memory
    1. Sparse Distributed Memory, Pentti Kanerva
    2. Dynamic Memory, Roger Schank
  • Creativity and Identity -- essays from Metamagical Themas, Hofstadter (1985)
    1. Variations on a Theme as the Crux of Creativity
    2. On the Seeming Paradox of Mechanizing Creativity
    3. Analogies and Roles in Human and Machine Thinking
    4. Who Shoves Whom Around Insider the Careenium
    5. Waking Up from the Boolean Dream: Subcognition as Computation

      plus

    6. Boden, M. A. (1991) The Creative Mind: Myths and Mechanisms
  • Analogical Perception
    1. Hofstadter, Douglas R. Epilogue: Analogy as the Core of Cognition. In The Analogical Mind: Perspectives from Cognitive Science edited by Dedre Gentner, Keith J. Holyoak, and Boicho N. Kokinov. 2001, pp. 499-538
    2. Hofstadter, Douglas R. and the Fluid Analogies Research Group. 1995. Fluid Concepts and Creative Analogies: Computer Models of the Fundamental Mechanisms of Thought.
    3. Mitchell, Melanie (1990). Copycat: A Computer Model of High-Level Perception and Conceptual Slippage in Analogy-Making.
    4. Metacat: A Self-Watching Cognitive Architecture for Analogy-Making and High-Level Perception Ph.D. Dissertation, Indiana University, Bloomington, 1999.
    5. Marshall, J. (2002). Metacat: a self-watching cognitive architecture for analogy-making. In W. D. Gray & C. D. Schunn (eds.), Proceedings of the 24th Annual Conference of the Cognitive Science Society, pp. 631-636. (6 page overview of Copycat and Metacat, perhaps useful to some committee members)
    6. Marshall, J. (2002). Metacat: a program that judges creative analogies in a microworld. In C. Bento, A. Cardoso, & G. A. Wiggins (eds.), Proceedings of the 2nd Workshop on Creative Systems: Approaches to Creativity in Artificial Intelligence and Cognitive Science, pp. 77-84, 15th European Conference on Artificial Intelligence (ECAI 2002), Lyon, France. (another summary, more on Metacat itself)
    7. Holyoak and Thagard: Mental Leaps
    8. Meredith, M. J. (1991) Data modeling: A process for pattern induction. JETAI 3:43-68
    9. Fauconnier and Turner: The Way We Think, Mental Spaces
    10. Gentner, D. (1983). Structure-mapping: A theoretical framework for analogy. Cognitive Science, 7, 155-170. (Reprinted in A. Collins & E. E. Smith (Eds.), Readings in cognitive science: A perspective from psychology and artificial intelligence. Palo Alto, CA: Kaufmann).
    11. Gentner, D., & Landers, R. (1985). Analogical reminding: A good match is hard to find. Proceedings of the International Conference on Cybernetics and Society (pp. 607-613). New York, NY: Institute of Electrical and Electronics Engineers.
    12. Forbus, K. D., Gentner, D., & Law, K. (1994). MAC/FAC: A model of similarity-based retrieval. Cognitive Science, 19(2), 141-205. (Abridged version to be reprinted in T. Polk & C. M. Seifert, (Eds.), Cognitive Modeling. Boston: MIT Press)
    13. Perrott, D. A., Gentner, D., & Bodenhausen, G V. (in press). Resistance is futile: The unwitting insertion of analogical inferences in memory. Psychonomic Bulletin & Review
  • Language understanding/Generation
    1. Understanding Natural Language, Terry Winograd
    2. Discourse Production, Anthony Davey
  • General (probably don't need all of the first four, but I read them anyway this summer)
    1. The Cerebral Symphony, William Calvin
    2. Bright Air, Brilliant Fire Gerald Edelman
    3. More than Cool Reason, Lakoff and Turner
    4. A feature-integration theory of attention Treisman, Anne M; Gelade, Garry. Cognitive Psychology. Vol 12(1), Jan 1980, pp. 97-136