Course Information
Overview
Structure
- Cognitive psychology (experiments revealing computational processes underlying cognition)
- Neuroscience (understanding at the micro-level; wetware)
- Linguistics (a prime window into cognition is through language)
- Computational intelligence (simulation and testing of cognitive models)
- perception : experiments on your friends to see how they "sense" things
- categorization and concepts : prototype theory, objects and events
- space, time and language : spatial and temporal categories
- language : lexical structure, compositionality, and semantics
- developmental learning : you may conduct experiments on babies, or simulate their learning
- evolution of social convention: multi-agent games, speech acts, diachronic processes
Project
Grading Scheme
- Exams and quizzes: 40%
- Homework: 10-15%
- Class participation: 10-15%
- Project: 35-45%
Readings
- Wilson, Robert A., & Keil, Frank C. (eds.),
The MIT Encyclopedia
of the Cognitive Sciences (MITECS), MIT Press, 2001 [Primary text]
(An excellent text, with lots of top notch essays covering the many of the topics you may wish to explore in the latter parts of the course. Great for browsing as well...)
- Evans, Vyvyan and Melanie Green; Cognitive linguistics: an introduction, Routledge, 2006.
-
Bowerman, Melissa and Stephen C. Levinson, Language Acquisition and Conceptual Development, Cambridge University Press 2001
(A pathbreaking collection of essays starting with infants in the first year (they learn abstract concepts like number of animacy); and how these eventually map into structures in language)
-
Gardenfors, Peter,
Conceptual Spaces: The Geometry of Thought, MIT Press, 2000, 317 pages
(Concepts may be characterized as regions in some multi-dimensional space. Do these have to be convex?)
- Mandler, Jean, Foundations of Mind: Origins of conceptual thought , Oxford University Press, 2004 ,
(A fascinating study of cognitive processes in infancy. I consider this work as one of my most influential books from the last ten years.)
-
Margolis, E., and S. Laurence, ed., Concepts: Core Readings, MIT Press,
1999
(Starting with plato and wittgenstein, go on to prototype theory and probabilistic models. Does a concept have to be conscious?)
- Sternberg, Robert J., Cognitive Psychology, 4th ed., Cengage Learning India, 2008
- Bishop, Christopher M.; Pattern Recognition and Machine Learning, Springer, 2006, 738 pages, ISBN 0387310738