Evolving Artificial General Intelligence for Video Controllers

Created by W.Langdon from gp-bibliography.bib Revision:1.4549

  author =       "Itay Azaria and Achiya Elyasaf and Moshe Sipper",
  title =        "Evolving Artificial General Intelligence for Video
  booktitle =    "Genetic Programming Theory and Practice XIV",
  year =         "2016",
  editor =       "Rick Riolo and Bill Worzel and Brian Goldman and 
                 Bill Tozier",
  address =      "Ann Arbor, USA",
  month =        "19-21 " # may,
  publisher =    "Springer",
  note =         "Forthcoming",
  keywords =     "genetic algorithms, genetic programming,
  isbn13 =       "978-3-319-97087-5",
  URL =          "https://www.cs.bgu.ac.il/~sipper/publications/Evolving%20Artificial%20General%20Intelligence.pdf",
  URL =          "https://www.springer.com/us/book/9783319970875",
  size =         "12 pages",
  abstract =     "The General Video Game Playing Competition (GVGAI)
                 defines a challenge of creating controllers for general
                 video game playing, a testbed—as it were-for
                 examining the issue of artificial general intelligence.
                 We develop herein a game controller that mimics
                 human-learning behaviour, focusing on the ability to
                 generalize from experience and diminish learning time
                 as new games present themselves. We use genetic
                 programming to evolve hyper heuristic-based general
                 players, our results

                 showing the effectiveness of evolution in meeting the
                 generality challenge.",
  notes =        "

                 Part of \cite{Tozier:2016:GPTP} to be published after
                 the workshop",

Genetic Programming entries for Itay Azaria Achiya Elyasaf Moshe Sipper