Improved game play by multiple computer hints

  • Authors:
  • Ingo Althöfer

  • Affiliations:
  • Institut für Angewandte Mathematik, Friedrich-Schiller-Universität Jena, 07740 Jena, Germany

  • Venue:
  • Theoretical Computer Science - Algorithmic combinatorial game theory
  • Year:
  • 2004

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Abstract

Humans and Computers have different strengths, which should be combined, not wasted. Multiple-choice systems are an efficient way to achieve this goal. An instructive example is 3-Hirn, where two programs make one proposal each and a human boss has the final choice amongst them. In Chess and several other brain games many experiments with 3-Hirn and other settings proved the usefulness of multiple choice systems and the validity of the underlying ideas.