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Search, Games and Problem Solving

  • Wolfgang Ertel
Part of the Undergraduate Topics in Computer Science book series (UTICS)

Abstract

Many AI problems, like automated theorem proving, game playing, planning or routing, involve combinatorial search in large discrete spaces. We introduce the classical uninformed and heuristic search algorithms such as for example A and apply them to simple examples. Game search techniques like minimax and alpha-beta pruning and their application in chess computers are discussed.

Keywords

Search Tree Successor Node Open Node Maximum Node Solution Node 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag London Limited 2011

Authors and Affiliations

  1. 1.FB Elektrotechnik und InformatikHochschule Ravensburg-Weingarten, University of Applied SciencesWeingartenGermany

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