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Biologically inspired artificial intelligence for computer games / Darryl Charles ... [et al.].

Contributor(s): Publication details: Hershey, PA : Medical Information Science Reference, c2008.Description: xiv, 262 p. : ill. ; 27 cmISBN:
  • 9781591406464 (hbk.)
  • 1591406463 (hbk.)
Subject(s): DDC classification:
  • 794.8163 BIO
Contents:
Foreword. - Preface. - Acknowledgment. - Chapter I: Contemporary Video Game AI. - Chapter II: An Introduction to Artificial Neural Networks. - Chapter III: Supervised Learning with Artificial Neural Networks. - Chapter IV: Case Study: Supervised Neural Networks in Digital Games. - Chapter V: Unsupervised Learning in Artificial Neural Networks. - Chapter VI: Fast Learning in Neural Networks. - Chapter VII: Genetic Algorithms. - Chapter VIII: Beyond the GA: Extensions and Alternatives. - Chapter IX: Evolving Solutions for Multi-Objective Problems and Hierachical AI. - Chapter X: Artificial Immune Systems. - Chapter XI: Ant Colony Optimisation. - Chapter XII: Reinforcement Learning. - Chapter XIII: Adaptivity within Games. - Chapter XIV: Turing's Test And Believable AI. - About the Contributors. - Index.
Summary: "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"--Provided by publisher.
Holdings
Cover image Item type Current library Home library Collection Shelving location Shelf location Call number Materials specified Vol info Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Main Collection Taylor's Library-TU 794.8163 BIO (Browse shelf(Opens below)) 1 Available SOExx,07016,03,GR 5000064700

Includes bibliographical references and index.

Foreword. - Preface. - Acknowledgment. - Chapter I: Contemporary Video Game AI. - Chapter II: An Introduction to Artificial Neural Networks. - Chapter III: Supervised Learning with Artificial Neural Networks. - Chapter IV: Case Study: Supervised Neural Networks in Digital Games. - Chapter V: Unsupervised Learning in Artificial Neural Networks. - Chapter VI: Fast Learning in Neural Networks. - Chapter VII: Genetic Algorithms. - Chapter VIII: Beyond the GA: Extensions and Alternatives. - Chapter IX: Evolving Solutions for Multi-Objective Problems and Hierachical AI. - Chapter X: Artificial Immune Systems. - Chapter XI: Ant Colony Optimisation. - Chapter XII: Reinforcement Learning. - Chapter XIII: Adaptivity within Games. - Chapter XIV: Turing's Test And Believable AI. - About the Contributors. - Index.

"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"--Provided by publisher.