Search, Games and Problem Solving

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


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.


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.


  1. [CLR90]
    T. Cormen, Ch. Leiserson, and R. Rivest. Introduction to Algorithms. MIT Press, Cambridge, 1990. Google Scholar
  2. [Ert93]
    W. Ertel. Parallele Suche mit randomisiertem Wettbewerb in Inferenzsystemen. DISKI, Band 25. Infix, St. Augustin, 1993. Dissertation, Technische Universität München. Google Scholar
  3. [Fra05]
    C. Frayn. Computer chess programming theory, 2005.
  4. [Lar00]
    F. D. Laramée. Chess programming, parts 1–6, 2000.
  5. [Nil98]
    N. Nilsson. Artificial intelligence—A New Synthesis. Morgan Kaufmann, San Mateo, 1998. Google Scholar
  6. [Pea84]
    J. Pearl. Heuristics, Intelligent Search Strategies for Computer Problem Solving. Addison–Wesley, Reading, 1984. Google Scholar
  7. [Ric83]
    E. Rich. Artificial Intelligence. McGraw–Hill, New York, 1983. Google Scholar
  8. [RN10]
    S. Russell and P. Norvig. Artificial Intelligence: A Modern Approach. Prentice Hall, New York, 3rd edition, 2010. 1st edition: 1995. Google Scholar
  9. [Wik10]
    Wikipedia, the free encyclopedia, 2010.
  10. [Win]
    P. Winston. Game demonstration. Java Applet for Minimax- and Alpha-Beta-Search.

Copyright information

© Springer-Verlag London Limited 2011

Authors and Affiliations

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

Personalised recommendations