The Evolution of Mental Models

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InCollection{kinnear:teller,
  author =       "Astro Teller",
  title =        "The Evolution of Mental Models",
  booktitle =    "Advances in Genetic Programming",
  publisher =    "MIT Press",
  editor =       "Kenneth E. {Kinnear, Jr.}",
  year =         "1994",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www.cs.cmu.edu/afs/cs/usr/astro/public/papers/MentalModels.ps",
  URL =          "http://www.amazon.co.uk/Advances-Genetic-Programming-Complex-Adaptive/dp/0262111888",
  URL =          "http://cognet.mit.edu/sites/default/files/books/9780262277181/pdfs/9780262277181_chap9.pdf",
  chapter =      "9",
  pages =        "199--219",
  size =         "21 pages",
  abstract =     "Most interesting problems do not have solutions that
                 are simple mappings from the inputs to the correct
                 outputs; some kind of internal state or memory is
                 needed to operate well or optimally in these domains.
                 Traditionally, genetic programming has concentrated on
                 solving problems in the functional/reactive arena. This
                 may be due in part to the absence of a natural way to
                 incorporate memory into the paradigm. This chapter
                 proposes a simple, Turing-complete addition to the
                 genetic programming paradigm that seamlessly
                 incorporates the evolution of the effective gathering,
                 storage, and retrieval of arbitrarily complicated state
                 information. A new environment is presented and used to
                 evaluate this addition to the paradigm. Experimental
                 results show that the effective production and use of
                 complex memory structures can be evolved and that
                 functions evolving the intelligent use of state quickly
                 and permanently displace purely reactive and
                 non-deterministic functions. These results may aid
                 future research into the causes and constituents of
                 mental models and are shown to open the field of
                 genetic programming to include all learning strategies
                 that are Turing-possible.",
  notes =        "Addition of 20 memory elements via READ and WRITE to
                 box pushing inside a matrix of 6*6 cells You can get
                 these papers by anonymous ftp to any CMU machine. (e.g.
                 GS61.SP.CS.CMU.EDU (128.2.203.143) or J.GP.CS.CMU.EDU
                 (128.2.250.198))

                 then cd to /afs/cs/usr/astro/public/papers/

                 Since several come from the Mac, they won't work in
                 GhostView, but they should print fine.

                 ",
}

Genetic Programming entries for Astro Teller

Citations