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Knowledge-Free and Learning-Based Methods in Intelligent Game Playing

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  • © 2010

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  • provides a comprehensive overview of Knowledge-free and learning-based methods in intelligent game playing

Part of the book series: Studies in Computational Intelligence (SCI, volume 276)

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Table of contents (15 chapters)

  1. Introduction

  2. Part I: AI Tools and State-of-the-Art Accomplishments in Mind Games

  3. Part II: CI Methods in Mind Games. Towards Human-Like Playing

  4. Part III: An Overview of Challenges and Open Problems

  5. Part IV: Grand Challenges

Keywords

About this book

Humans and machines are very di?erent in their approaches to game pl- ing. Humans use intuition, perception mechanisms, selective search, creat- ity, abstraction, heuristic abilities and other cognitive skills to compensate their (comparably) slow information processing speed, relatively low m- ory capacity, and limited search abilities. Machines, on the other hand, are extremely fast and infallible in calculations, capable of e?ective brute-for- type search, use “unlimited” memory resources, but at the same time are poor at using reasoning-based approaches and abstraction-based methods. The above major discrepancies in the human and machine problem solving methods underlined the development of traditional machine game playing as being focused mainly on engineering advances rather than cognitive or psychological developments. In other words, as described by Winkler and F¨ urnkranz [347, 348] with respect to chess, human and machine axes of game playing development are perpendicular, but the most interesting, most promising, and probably also most di?cult research area lies on the junction between human-compatible knowledge and machine compatible processing.I undoubtedly share this point of view and strongly believe that the future of machine game playing lies in implementation of human-type abilities (- straction,intuition,creativity,selectiveattention,andother)whilestilltaking advantage of intrinsic machine skills. Thebookisfocusedonthedevelopmentsandprospectivechallengingpr- lems in the area of mind gameplaying (i.e. playinggames that require mental skills) using Computational Intelligence (CI) methods, mainly neural n- works, genetic/evolutionary programming and reinforcement learning.

Authors and Affiliations

  • Faculty of Mathematics and Information Science, Warsaw University of Technology, Warsaw, Poland

    Jacek Mańdziuk

Bibliographic Information

  • Book Title: Knowledge-Free and Learning-Based Methods in Intelligent Game Playing

  • Authors: Jacek Mańdziuk

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-642-11678-0

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2010

  • Hardcover ISBN: 978-3-642-11677-3Published: 28 February 2010

  • Softcover ISBN: 978-3-642-26213-5Published: 01 March 2012

  • eBook ISBN: 978-3-642-11678-0Published: 14 March 2010

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XVIII, 254

  • Number of Illustrations: 29 b/w illustrations

  • Topics: Artificial Intelligence, Computational Intelligence

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