SE367: Introduction to Cognitive Science

Department of Computer Science & Engineering, IIT Kanpur

Jan - Apr 2013

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Course Information

Overview

What is mind and how does it construct a reality for us?

There is considerable debate on how to approach this fundamental question, reminding one of the story of the six blind men inspecting an elephant. Depending on what background you bring into the question, you see the answer very differently. Disciplines such as psychology, neuroscience, philosophy, artificial intelligence, linguistics etc. have had widely divergent positions. Cognitive science is the name given to a modern attempt to synthesize these views into a (more) coherent whole.

If you accept that the mind is located in the brain, and that the brain is a device that identifies a goal, takes some sensory inputs and produces some motor actions, then one view of the mind is that it performs certain computations on the input to decide and execute a certain output. In order to do its work, the brain also creates some internal representations for structures in the world and inside us; the structure of these representations are some of the key aspects that one attempts to study in cognitive science.

In this course, we shall be looking at a broad range of psychological data and performing some experiments (on ourselves as well) to try to study the operations of the mind. We shall be looking at some of the neural mechanisms that may be underlying our performance. Finally, we shall be seeking to simulate some of these capabilities on computational systems to understand the internal mechanics of these systems. We shall also consider questions of how an infant learns, and particularly, issues of modeling meaning in language. Finally, we shall consider some philosophical issues about what it means to represent something.

Structure

This is a science elective course, so there are no special pre-requisites. however, some background in AI, linguistics, psychology, or neuroscience would be helpful.

This course will operate via intensive participation from you the students. in the first five weeks, we shall have overview some of the views from differing disciplines; different groups in the class will discuss the following topics. the material for this part of the course is based on the introductory chapters from the MIT encyclopedia of the cognitive sciences (MITECS) (topic links take you to the intro chapters).

On each topic, there will be an overview lecture, and then the student presentations and discussions. Interaction in the class discussions carry partial credit.

This will begin in the second week.

Subsequently, student groups will choose specific topics which they will explore in greater depth. These may relate to

  • 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

There will be a project which may involve any of the above areas. i expect some people to conduct experiments on actual users, or you may work on computational simulations, or propose theoretical models. merely a survey of literature will not comprise a project.

You may find it interesting to look at some of the older projects from the last year projects page.

Grading Scheme

  • Exams and quizzes: 40%
  • Homework: 10-15%
  • Class participation: 10-15%
  • Project: 35-45%

Readings

  1. 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...)

  2. Evans, Vyvyan and Melanie Green; Cognitive linguistics: an introduction, Routledge, 2006.
In addition, we may refer to some of the following works.
  • 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
And of course, there is the wide big world of articles from relevant journals and other research publications. In particular, we will be looking at papers from CogSci 2012 for projects / topics etc.