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

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Amit Benbassat and Achiya Elyasaf and Moshe Sipper",
  title =        "More or Less? Two Approaches to Evolving Game-Playing
  booktitle =    "Genetic Programming Theory and Practice X",
  year =         "2012",
  series =       "Genetic and Evolutionary Computation",
  editor =       "Rick Riolo and Ekaterina Vladislavleva and 
                 Marylyn D. Ritchie and Jason H. Moore",
  publisher =    "Springer",
  chapter =      "12",
  pages =        "171--185",
  address =      "Ann Arbor, USA",
  month =        "12-14 " # may,
  keywords =     "genetic algorithms, genetic programming, alpha-beta
                 search, Checkers, Dodgem, Freecell, Hyper heuristic,
  isbn13 =       "978-1-4614-6845-5",
  URL =          "",
  DOI =          "doi:10.1007/978-1-4614-6846-2_12",
  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.",
  notes =        "part of \cite{Riolo:2012:GPTP} published after the
                 workshop in 2013",

Genetic Programming entries for Amit Benbassat Achiya Elyasaf Moshe Sipper