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Cognitive Science 207 Introduction to Cognitive Modeling |
There is no required textbook for the course. All readings are on-line, in either HTML or Adobe Acrobat format. Acrobat readers are available for free for most platforms.
This schedule subject to change.
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Dates |
Topic | Readings |
| Week 0 (Sep 23-28) |
What is cognitive modeling? | A.M. Turing, "Computing
Machinery and Intelligence," Mind, New Series, Vol. 59, No. 236.
(Oct., 1950), pp. 433-460. (also available here).
Minsky, M. "Why
people think computers can't". AI Magazine, Fall,
1982. Miller, G. "The
Cognitive revolution: A historical perspective", Trends in
Cognitive Sciences, 7(3), March 2003. |
| Week 1 (Sep 30 - Oct 5) |
Knowledge Representation. How can computers know things? | Lenat, D. From
2001 to 2001: Common Sense and the Mind of HAL, In Hal's Legacy:
2001's Computer as Dream and Reality edited by: David G. Stork. Chapter 1, Markman, A.B. Knowledge Representation. LEA Foundations of KR section from OpenCyc's Cyc 101 tutorial: |
| Week 2 (Oct 7 - Oct 12) | Naive Physics. How can we model our understanding of the everyday world? | Forbus, K. 1988. Qualitative
physics: Past, present, and future. In Shrobe, H. (Ed.) Exploring
Artificial Intelligence, Morgan-Kauffmann. Bredeweg, B. and Forbus, K. 2004. Qualitative Modeling in Education. AI Magazine, Winter 2004. |
| Week 3 (Oct 14 - Oct 19)
Guest speaker: Chris Riesbeck |
Natural language processing. How can we model the process of understanding language? | Lillian, L. “I’m sorry Dave,
I’m afraid I can’t do that”: Linguistics, Statistics,and Natural
Language Processing circa 2001, NRC Study on Fundamentals of
Computer Science, version of 2003. Riesbeck, C. "From Conceptual Analyzer to Direct Memory Access Parsing: An Overview." Batali, J. "Notes on Natural Language Processing" |
| OCTOBER 21 |
MIDTERM |
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| October 26 |
Post-mortem for midterm | |
| Week 5 (Oct 28 - Nov 2) Guest speaker: Don Norman |
Emotions How can we model the interplay of cognition and emotions? And how does it guide the development of autonomous robots? |
Chapter 1:
Attractive things work better. Chapter 6: Emotional machines. Chapter 7: The future of robots From Norman, D.A. 2004. Emotional Design: Why We Love (or Hate) Everyday Things. New York: Basic Books. Norman, D.A., Ortony, A. and Russell, D. M. Affect and
machine
design: Lessons for the development of autonomous machines, IBM
Systems Journal, 42(1), 2003. Excerpt from Ortony, A., Clore, G. and Collins, A. The Cognitive Structure of Emotions. Cambridge University Press. |
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Week 6 (Nov 4 - Nov 9)
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Analogy and similarity. How do we reason and learn from analogies and metaphors? | Gentner, D. and Markman, A. 1997. Structure
Mapping in Analogy and Similarity. American
Psychologist, January, pp 45-56 Goldstone, R. L, & Son, J. (in press). Similarity. In K. Holyoak & R. Morrison (Eds.). Cambridge Handbook of Thinking and Reasoning. Cambridge: Cambridge University Press. |
| Week 7 (Nov 11 - Nov 16) | Learning and education. How do we learn new theories and skills? Can we also use these models to teach? |
Koedinger, K. 2000. Intelligent
Cognitive Tutors as Modeling Tool and Instructional Model, In NCTM Standards Technology Conference.
(Also available here) Anderson, J. R. (1996). ACT: A simple theory of complex cognition. American Psychologist, 51, 355-365. |
| Week 8 (Nov 18 - Nov 23) |
Consciousness How can ideas from computation shed light on the nature of consciousness? |
McDermott, D. Chapter 3, Mind and Mechanism, MIT Press. |
| Week 9 [Nov 25, Thanksgiving] |
READING WEEK |
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| Friday December 10, 12:00 - 2:00. |
FINAL EXAM |
Last edited 09/22/04, by paritosh.