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Gaming
VPI: Virtual Personality Interaction VPI is the result of a little research I made with the intention of figuring out a way to make a game engine support each NPC as a unique being, having its own physical aspects, intellectual capabilities and psychological tendencies.	Derlidio Siqueira	16/11/2004
Binary Decision Tree implementation in C++ The purpose of this article is to detail how a BDT can be implemented in C++.	Paul Thompson	18/04/2004

General
Turing Machines: A Closer Look Looks at how Turing Machines are represented theoretically, as well as ideas for encoding.	James Matthews	10/04/2003
An Introduction to Constraint Satisfaction Programming CSP studies how computers can be used to...satisfy constraints! The basic introduction looks at what CSP is as well as arc inconsistency.	James Matthews	19/04/2001
Iterated Prisoner's Dilemma A look at one of the most famous examples in game theory.	James Matthews	09/03/2001
An In-Depth Look at Turing Machines Turing Machines are the brainchild of Alan Turing, one of the founding fathers of AI. This article looks more closely at what the Turing Machine is.	James Matthews	17/01/2000
Turing Machines A Turing Machine is a way to define any algorithmic procedure. This essay introduces you to the concept.	Samuel Hsiung	06/01/2000

Genetic Algorithms
How Do Genetic Algorithms Work? A look at the mathematics behind GAs. A decent knowledge of algebra is definitely required for this essay.	James Matthews	21/10/2001
An Introduction to Coevolution A look at an interesting derivative of genetic algorithm. Pitting two populations against each other in an attempt to further improve evolution.	James Matthews	13/12/2000

Machine Vision
Hough Transforms This article looks at hough transforms, a method of detecting geometric shapes and lines within images.	James Matthews	02/01/2008

Natural Language Processing
An Introduction to Markov Models Markov Models are used in NLP and speech recognition.	James Matthews	10/01/2001

Neural Networks
Self-Organizing Nets Introductory look at self-organizing neural networks - in particular, Kohonen networks.	James Matthews	24/10/2004
Back-propagation for the Uninitiated BP is a difficult algorithm to grasp at the best of times…this tutorials aims to provide a simple, but effective, introduction to back-propagation.	James Matthews	17/08/2002
Simulated Annealing A method taken from metallurgy that helps neural networks and genetic algorithms avoid local minima!	James Matthews	26/06/2000
Neural Networks: Motivation, Theory and DANN Motivation and theory of specific artificial neural networks are explained.	Daniel Eaton	06/01/2000
Associative Neural Networks An introduction to associative neural networks (ie., Hopfield Networks).	James Matthews	11/12/1999
Multilayer Feedforward Network and the Backpropagation Algorithm A complete look at the backpropagation algorithms.	Samuel Hsiung	11/12/1999

Speech Recognition
Homemade Speech Recognition with .NETcf This article will explain the steps I took to do speech recognition using the .NET Compact Framework from scratch.	Casey Chesnut	03/11/2004
Homemade Text-To-Speech with .NET This article looks at how TTS actually works under-the-hood.	Casey Chesnut	03/11/2004
How Does Speech Recognition Work? A brief overview of exactly how speech recognition works, and what is done to improve it.	James Matthews	23/10/2002