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More or Less? Two Approaches to Evolving Game-Playing Strategies

  • Amit BenbassatEmail author
  • Achiya Elyasaf
  • Moshe Sipper
Chapter
Part of the Genetic and Evolutionary Computation book series (GEVO)

Abstract

We present two opposing approaches to the evolution of game strategies, one wherein a minimal amount of domain expertise is injected into the process, the other infusing the evolutionary setup with expertise in the form of domain heuristics. We show that the first approach works well for several popular board games, while the second produces top-notch solvers for the hard game of FreeCell.

Key words

αβ search Checkers Dodgem Freecell Genetic algorithms Genetic programming Hyper heuristic Reversi 

Notes

Acknowledgements

This research was supported by the Israel Science Foundation (grant no. 123/11). Achiya Elyasaf is partially supported by the Lynn and William Frankel Center for Computer Sciences.

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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  1. 1.Department of Computer ScienceBen-Gurion UniversityBeer-ShevaIsrael

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