A Brief Introduction to Graphical Models and Bayesian Networks: Kevin Murphy's tutorial, including a recommended reading list

Ai Research: Focuses on creating genuine Artificial Intelligence - the technology that enables machines to converse with humans in natural language. Based on a groundbreaking approach, Ai's technology will pass the Turing Test for machine intelligence by 2011

David W. Aha: Machine Learning Page: A machine learning resources from Applications to Tutorials

Genetic-Programming.org: A definitive source of information about the field of genetic programming with links and conferences

Kevin Murphy's list of Bayesian network software: Most up-to-date list available

Neural Network FAQ: This FAQ from comp.ai.neural-nets contains the most commonly asked questions about neural networks, including some great introductory material

Stevan Harnad E-Prints on Cognitive Psychology: Papers on categorical perception, the symbol grounding problem, and consciousness, with particular emphasis on the philosophy of AI

The Computer Vision Homepage: Established at Carnegie Mellon University in 1994 to provide a central location for World Wide Web links relating to computer vision research



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