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The Expected-Outcome Model of Two-Player Games
1st Edition - January 1, 1991
Author: Bruce Abramson
Language: English
eBook ISBN:9781483258959
9 7 8 - 1 - 4 8 3 2 - 5 8 9 5 - 9
The Expected-Outcome Model of Two-Player Games deals with the expected-outcome model of two-player games, in which the relative merit of game-tree nodes, rather than board…Read more
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The Expected-Outcome Model of Two-Player Games deals with the expected-outcome model of two-player games, in which the relative merit of game-tree nodes, rather than board positions, is considered. The ambiguity of static evaluation and the problems it generates in the search system are examined and the development of a domain-independent static evaluator is described. Comprised of eight chapters, this book begins with an overview of the rationale for the mathematical study of games, followed by a discussion on some previous artificial intelligence (AI) research efforts on game-trees. The next section opens with the definition of a node's expected-outcome value as the expected value of the leaves beneath it. The expected-outcome model is outlined, paying particular attention to the expected-outcome value of a game-tree node. This model was implemented on some small versions of tic-tac-toe and Othello. The book also presents results that offer strong support for both the validity of the expected-outcome model and the rationality of its underlying assumptions. This monograph is intended for specialists in AI and computer science.
I Introduction 1 Prelude: Why Study Games? 2 Overview: What Lies Ahead? 3 Background: What is Already Known? 3.1 Preliminaries 3.2 Heuristic Evaluation Functions 3.3 Control Strategies 3.4 SummaryII The Model 4 Proposal: What is the Basic Model? 5 Support: Does the Model Work? 5.1 Analytical Evidence 5.2 Empirical EvidenceIII Conclusions 75 6 Contributions: What's been Accomplished? 7 Implications: Where Might the Model Lead? 8 Reprise: Why Study Games? A Standard Evaluation Functions B The Random Sampler
No. of pages: 112
Language: English
Edition: 1
Published: January 1, 1991
Imprint: Morgan Kaufmann
eBook ISBN: 9781483258959
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