The [AI-related FAQs] page contains a list of most of the AI-related FAQs, alphabetized by topic.
The [AI on the Web] page links to 868 pages around the web with information on Artificial Intelligence.
[Artificial Intelligence, and Robot Wisdom] bills itself as an outsiders's guide to neural networks. You'll find good introductory material here on history of AI and major types of AI.
[Chompy] is a freeware natural language parser written in Java which aims to provide an educational program to demonstrate the basics of Chomsky's struturalist grammar and to develop a natural language parser class for Java.
The [GA Archives] is an index of source code for implementations of genetic algorithms and other EC methods. This list is now maintained alphabetically, and by language.
[GAlib] contains a set of C++ genetic algorithm objects. The library includes tools for using genetic algorithms to do optimization in any C++ program using any representation and genetic operators. The documentation includes an extensive overview of how to implement a genetic algorithm as well as examples illustrating customizations to the GAlib classes.
The [Game AI] pages are dedicated to the topic of Artificial Intelligence (AI) in games, a factor in game design which I'm pleased to say is being taken more seriously by game developers and producers than ever before. We've seen a huge increase in interest over the past few years on the part of both game developers and game players, and I think the trend is only going to continue. Hopefully, these pages will help.
The [Genetic Algorithm Utility Library] (GAUL) is a flexible programming library for evolutionary computation. Steady-state, generational and island model genetic algorithms are supported, using Darwinian, Lamarckian or Baldwinian evolution. Includes support for multiprocessor and distributed systems. Numerous demonstration programs with full source code are available.
[Machine Learning in Games]; how computers can learn to get better at playing games. This site is for artificial intelligence researchers and intrepid game programmers. It describes game programs and their workings; heuristic search algorithms, neural networks, genetic algorithms, temporal differences, and other methods. Also many links to various sources on machine learning relating to games.
[Yahoo's catalog of links] to natural language processing.
Papers on using artificial intelligence to build believable agents and create interactive drama. The page can be found at [The Oz Project Home Page].