Gaming Technologies Collection: Biologically Inspired Artificial Intelligence For Computer Games, 1st Edition

  • Darryl Charles
  • Published By:
  • ISBN-10: 159140648X
  • ISBN-13: 9781591406488
  • DDC: 794.8
  • Grade Level Range: College Freshman - College Senior
  • 262 Pages | eBook
  • Original Copyright 2008 | Published/Released September 2011
  • This publication's content originally published in print form: 2008

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About

Overview

This book examines modern artificial intelligence to display how it may be applied to computer games. It spans the divide that exists between the academic research community working with advanced artificial intelligence and the games programming community which must create and release new and interesting games, creating an invaluable collection supporting both technological research and the gaming industry.

Table of Contents

Front Cover.
Title Page.
Copyright Page.
Biologically Inspired Artificial Intelligence for Computer Games: Table of Contents.
Foreword.
Preface.
Acknowledgment.
1: Contemporary Video Game AI.
2: An Introduction to Artificial Neural Networks.
3: Supervised Learning with Artificial Neural Networks.
4: Case Study: Supervised Neural Networks in Digital Games.
5: Unsupervised Learning in Artificial Neural Networks.
6: Fast Learning in Neural Networks.
7: Genetic Algorithms.
8: Beyond the GA: Extensions and Alternatives.
9: Evolving Solutions for Multiobjective Problems and Hierarchical AI.
10: Artificial Immune Systems.
11: Ant Colony Optimisation.
12: Reinforcement Learning.
13: Adaptivity Within Games.
14: Turing's Test and Believable AI.
About the Contributors.
Index.