Comp Sci 182 / Cog Sci 110 / Ling 109
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General Information
Course Description
Old Announcements
Course Content
Submission Guidelines
Computing Resources
Required texts
  • The Course Reader, available at Copy Central on Hearst & Euclid.
  • Online readings, available below. (requires Adobe Acrobat Reader).
  • Book: "From Molecule to Metaphor: A Neural Theory of Language" (in revision), available below.

Course Reader Table of Contents:
  1. Terry Regier. 1996. The Human Semantic Potential, Chapter 1. MIT Press.
  2. Charles Stevens. 1979. The Neuron. Scientific American, September 1979.
  3. G. Buccino et al. 2001. Short Communication: Action observation activates premotor and parietal areas in a somatotopic manner: an fMRI study. European Journal of Neuroscience (13), 2001. (local copy)
  4. Maxwell Cowan. 1979. The Development of the Brain. Scientific American,September 1979.
  5. Mark H. Johnson. Functional Brain Development in Humans. 2001. Nature Reviews/Neuroscience, July 2001. (local copy)
  6. Heinrich Reichert. 1992. Motor Systems. Introduction to neurobiology, Chapter 5. Oxford University Press.
  7. K. Plunkett and J. Elman. 1997. Exercises in Rethinking Innateness: A Handbook for Connectionist Simulations, Chapter 1 and Appendix B. MIT Press.
  8. Jerome Feldman. 1988. Computational constraints on higher neural representations. In E. Schwartz (ed.). Proceedings, System Development Foundation Symposium on Computational Neuroscience, April 1988. Bradford Books/MIT Press.
  9. James A. Anderson. 1995. Gradient descent algorithms. An introduction to neural networks, Chapter 9. MIT Press.
  10. George Lakoff. 1987. Women, Fire, and Dangerous Things: What Categories Reveal about the Mind, Chapter 2. University of Chicago Press.
  11. Steven Pinker. 1997. How the Mind Works, 126-148. W.W. Norton & Company.
  12. Terry Regier. 1996. The Human Semantic Potential, Chapter 6. MIT Press.
  13. David Heckerman and Michael P. Wellman. 1995. Bayesian Networks. Communications of the ACM 58(5). (local copy)
  14. George Lakoff and Mark Johnson. 1999. Philosophy in the Flesh, Chapters 3, 4, 5, excerpt from 11 (pp. 170-194). Basic Books.
  15. Daniel Jurafsky and James H. Martin. 2000. Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition, Chapter 9 & 11. Prentice Hall.
  16. Adele Goldberg. 1999. The Emergence of the Semantics of Argument Structure Constructions. The Emergence of Language. B. MacWhinney (Ed.), 1999. Lawrence Erlbaum

Readings Available Online:
  1. Gary S. Dell, Franklin Chang and Zenzi M. Griffin. 1999. Connectionist models of language production: Lexical access and grammatical encoding. Cognitive Science 23(4), 517-542. (local copy)
  2. D. Bailey, J. Feldman, S. Narayanan and G. Lakoff. 1997. Modeling embodied lexical development. Proceedings of the Nineteenth Annual Meeting of the Cognitive Science Conference. Stanford: Stanford University Press. (pdf) (local copy)
  3. R.A. Brooks, C. Breazeal (Ferrell), R. Irie, C.C. Kemp, M. Marjanovic and M.M. Williamson. 1998. Alternative essences of intelligence. Proceedings AAAI, Proceedings of the Twentieth Annual Meeting of the Cognitive Science Conference, Madison, Wisconsin. (pdf) (local copy)
  4. N. Badler, R. Bindiganavale, J. Bourne, M. Palmer, J. Shi and W. Schuler. 1998. A parameterized action representation for virtual human agents. Workshop on Embodied Conversational Characters, Lake Tahoe, CA. (pdf) (local copy)
  5. L. Shastri, D. Grannes, S. Narayanan and J. Feldman. 1999. A Connectionist encoding of parameterized schemas and reactive plans. In Hybrid Information Processing in Adaptive Autonomous Vehicles, G.K. Kraetzschmar and G. Palm (Eds.), Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence. Berlin: Springer-Verlag. (pdf) (local copy)
  6. Srinivas Narayanan. 1999. Moving right along: A computational model of metaphoric reasoning about events. Proceedings AAAI, Orlando, Florida. (pdf) (local copy)
  7. Srinivas Narayanan and Daniel Jurafsky. 1998. Bayesian models of human sentence processing. Proceedings of the Twentieth Annual Meeting of the Cognitive Science Conference, Madison, Wisconsin. (pdf) (local copy)
  8. David Bailey, Nancy Chang, Jerome Feldman and Srini Narayanan. 1998. Extending embodied lexical development. Proceedings of the Twentieth Annual Meeting of the Cognitive Science Conference, Madison, Wisconsin. (pdf) (local copy)
  9. Nancy Chang, Tiago Maia. 2001. Grounded Learning of Grammatical Constructions. Proc. 2001 AAAI Spring Symposium on Learning Grounded Representations, 176-181. (pdf) (local copy)

Book Chapters: From Molecule to Metaphor: A Neural Theory of Language:
(Microsoft Word Format)

    Table Of Contents
  1. The Mystery of the Embodied Mind
  2. The Information Processing Perspective
  3. Computational Models
  4. Neurons
  5. The Society of Neurons (Neural Systems)
  6. Nature and Nurture
  7. Connections in the Mind
  8. Embodied Concepts and Their Words
  9. The Computational Bridge
  10. First Words
  11. Conceptual Schemas and Cultural Frames
  12. Learning Words for Spatial Relations
  13. Embodied Knowledge of Actions
  14. Learning Action Words
  15. Conceptual Systems
  16. Metaphor and Meaning
  17. Understanding as Simulation
  18. The Structure of Actions and Events
  19. Belief and Inference
  20. Understanding News Stories
  21. Combining Forms Grammar
  22. The Language Wars
  23. Combining Meanings
  24. Embodied Language Understanding
  25. Learning Constructions
  26. Remaining Mysteries
  27. All Together Now

Additional / Reserve readings
See here for additional readings, as well as the reserve readings.

Other useful books