The AI Programmer's Bookshelf

J e f f O r k i n
MIT Media Lab | Cognitive Machines
jorkin@alum.mit.edu
http://www.jorkin.com

The AI Programmer's Bookshelf
A list of useful books for game AI programming.

(you might also be interested my General Exams Reading List)

GAME AI

AI Game Programming Wisdom - Edited by Steve Rabin

AI Game Programming Wisdom 2 - Edited by Steve Rabin

AI Game Programming Wisdom 3 - Edited by Steve Rabin

AI Game Programming Wisdom 4 - Edited by Steve Rabin

Programming Game AI by Example - Mat Buckland

AI Techniques for Game Programming - Mat Buckland

Artificial Intelligence For Computer Games: An Introduction - John Funge

AI for Computer Games and Animation: A Cognitive Modeling Approach - John Funge

AI Game Development: Synthetic Creatures with Learning and Reactive Behaviors - Alex J. Champandard

AI Game Engine Programming - Brian Schwab

Artificial Intelligence for Games - Ian Millington

Behavioral Mathematics for Game AI - Dave Mark

AI for Game Developers - David M. Bourg

Game Programming Gems - Edited by Mark DeLoura

Game Programming Gems 2 - Edited by Mark DeLoura

Game Programming Gems 3 - Edited by Dante Treglia

Game Programming Gems 4 - Edited by Andrew Kirmse

Game Programming Gems 5 - Edited by Kim Pallister

Game Programming Gems 6 - Edited by Mike Dickheiser

Game Programming Gems 7 - Edited by Scott Jacobs

ACADEMIC AI TEXTBOOKS

Artificial Intelligence: A Modern Approach - Stuart Russell and Peter Norvig

Artificial Intelligence: A New Synthesis - Nils J. Nilsson

Artificial Intelligence - Patrick H. Winston

MACHINE LEARNING & DATA MINING

Machine Learning - Thomas Mitchell

Data Mining: Practical Machine Learning Tools and Techniques - Ian H. Witten and Eibe Frank

Pattern Classification - Richard O. Duda, Peter E. Hart, and David G. Stork

COMPILER DESIGN

Compilers: Principles, Techniques, and Tools - Alfred V. Aho, Monica S. Lam, Ravi Sethi, and Jeffrey D. Ullman

lex & yacc - Doug Brown and Tony Mason

NATURAL LANGUAGE PROCESSING AND GENERATION

Foundations of Statistical Natural Language Processing - Christopher D. Manning and Hinrich Schutze

Speech and Language Processing - Daniel Jurafsky and James H. Martin

Generating Natural Language Under Pragmatic Constraints - Eduard H. Hovy

Algorithms on Strings, Trees and Sequences: Computer Science and Computational Biology - Dan Gusfield

MODELS OF THE MIND AND EMOTION

Society of Mind - Marvin Minsky

The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind - Marvin Minsky

Designing Sociable Robots - Cynthia Breazeal

Commonsense Reasoning - Erik T. Mueller

PLANNING

Automated Planning: Theory & Practice - Malik Ghallab, Dana Nau, and Paolo Traverso

RELATED TEXTBOOKS

Data Structures Using C and C++ - Yedidyah Langsam, Moshe J. Augenstein, and Aaron M. Tenenbaum

Introduction to Probability - Dimitri P. Bertsekas and John N. Tsitsiklis

Introduction to Algorithms - Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein

The Algorithm Design Manual - Steven S. Skiena

Introductory Linear Algebra: An Applied First Course - Bernard Kolman

All the Mathematics You Missed: But Need to Know for Graduate School - Thomas A. Garrity

Computer Vision - Linda G. Shapiro and George C. Stockman