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References for AI Lectures
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Introduction to Cognitive Science
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Philosophy Seminar ``Cognition, Science
Contents
Artificial Intelligence (AI)
Subsections
References for AI Lectures
AI Lecture 1
Cybernetics
Information theory
Compution theory
Turing Machine
Problems with the computational view
Computers
Simulating human thinking - early developments in symbolic AI
The classical AI approach
Knowledge representation techniques
Inference mechanisms
AI Seminar 1 ``Neural Networks'' Shirish Pathare (4-10-02)
AI Lecture 2
Problems with classical (symbolic AI) models
Brain-like computational modelling: neural networks (concept)
Neural networks (history)
Top-down vs. bottom-up approaches
Neural networks and brain function
Neural networks and characteristics of human cognition
Other bottom-up techniques
AI Assignment
AI Tutorial
AI Seminar 2 ``Bugs and Errors in Subtraction: An Information Processing Approach'' Rakhi Banerjee (25-10-02)
