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Human-Like Intuitive Playing in Board Games

  • Jacek Mańdziuk
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7664)

Abstract

The paper provides an argumentation for potential virtues of developing cognitively-plausible human-like playing systems, thus advocates a return to the roots of Artificial Intelligence application to games. Such systems are, in particular, expected to be capable of intuitive playing, manifested by efficient search-free move pre-selection and application of shallow-search only during regular move analysis. The main facets of such systems are listed and discussed in the paper. Furthermore, an example of search-free playing system, in the form of a specifically-designed convoluted neural network, is presented to illustrate possible implementation of proposed ideas.

Keywords

Games intuition cognitive processes neural networks 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Jacek Mańdziuk
    • 1
  1. 1.Faculty of Mathematic and Information ScienceWarsaw University of TechnologyWarsawPoland

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