Genetic Programming Applied to Othello: Introducing Students to Machine Learning Research

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  author =       "E. Eskin and Eric V. Siegel",
  title =        "Genetic Programming Applied to Othello: Introducing
                 Students to Machine Learning Research",
  booktitle =    "30th Technical Symposium of the ACM Special Interest
                 Group in Computer Science Education",
  year =         "1999",
  editor =       "Daniel Joyce",
  volume =       "31.1",
  series =       "SIGCSE Bulletin",
  pages =        "242--246",
  address =      "New Orleans, LA, USA",
  month =        "24-28 " # mar,
  publisher =    "ACM Press",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "",
  abstract =     "In this paper we describe and analyze a three week
                 assignment that was given in a Machine Learning course
                 at Columbia University. The assignment presented
                 students with an introduction to machine learning
                 research. The assignment required students to apply
                 Genetic Programming to evolve algorithms that play the
                 board game Othello. The students were provided with an
                 implemented experimental approach as a starting point.
                 The students were required to perform their own
                 experimental modifications corresponding to research
                 issues in machine learning. The results of student
                 experiments were good both in terms of research and in
                 terms of student learning. All relevant code,
                 documentation and information about GPOthello is
                 available at the following url:

Genetic Programming entries for Eleazar Eskin Eric Siegel