rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Blondie24
    sub title: playing at the edge of AI
  title info:
    title: Blondie twenty-four
  title info:
    title: Playing at the edge of AI
  name:
    name part: Fogel, David B.
    role:
      role term: creator
  name:
    name part: ScienceDirect (Online service)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: cau
    place:
      place term: San Francisco
    publisher: Morgan Kaufmann Publishers
    date issued: ©2002
    date issued: 2002
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xvi, 404 pages) : illustrations
  abstract: Blondie24 tells the story of a computer that taught itself to play checkers far better than its creators ever could by using a program that emulated the basic principles of Darwinian evolution--random variation and natural selection-- to discover on its own how to excel at the game. Unlike Deep Blue, the celebrated chess machine that beat Garry Kasparov, the former world champion chess player, this evolutionary program didn't have access to strategies employed by human grand masters, or to databases of moves for the endgame moves, or to other human expertise about the game of chekers. With only the most rudimentary information programmed into its "brain," Blondie24 (the program's Internet username) created its own means of evaluating the complex, changing patterns of pieces that make up a checkers game by evolving artificial neural networks---mathematical models that loosely describe how a brain works. It's fitting that Blondie24 should appear in 2001, the year when we remember Arthur C. Clarke's prediction that one day we would succeed in creating a thinking machine. In this compelling narrative, David Fogel, author and co-creator of Blondie24, describes in convincing detail how evolutionary computation may help to bring us closer to Clarke's vision of HAL. Along the way, he gives readers an inside look into the fascinating history of AI and poses provocative questions about its future. * Brings one of the most exciting areas of AI research to life by following the story of Blondie24's development in the lab through her evolution into an expert-rated checkers player, based on her impressive success in Internet competition. * Explains the foundations of evolutionary computation, simply and clearly. * Presents complex material in an engaging style for readers with no background in computer science or artificial intelligence. * Examines foundational issues surrounding the creation of a thinking machine. * Debates whether the famous Turing Test really tests for intelli…
  table of contents: Acknowledgments -- Introduction -- I : Setting the stage -- Intelligent machines : imitating life ; Deep Blue : a triumph for AI? ; Building an artificial brain ; Evolutionary computation : putting nature to work ; Blue Hawaii : a natural selection ; Checkers ; Chinook : the man-machine checkers champion ; Samuel's learning machine ; Samuel-Newell challenge -- II : Making of Blondie -- Evolving in the checkers environment ; In the zone ; Repeat performance ; New dimension ; Letting the genie out of the bottle ; Blondie24 -- Epilogue : Future of artificial intelligence -- Your honor, I object!
  note: David B. Fogel.
  note: Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. http://purl.oclc.org/DLF/benchrepro0212 MiAaHDL
  note: digitized 2010 HathiTrust Digital Library committed to preserve pda MiAaHDL
  note: Includes bibliographical references and index.
  subject:
    topic: Artificial intelligence
  subject:
    topic: Machine learning
  subject:
    topic: Evolutionary computation
  subject:
    topic: Computer checkers
  subject:
    topic: Artificial Intelligence
  subject:
    topic: Machine Learning
  subject:
    topic: Intelligence artificielle
  subject:
    topic: Apprentissage automatique
  subject:
    topic: Réseaux neuronaux à structure évolutive
  subject:
    topic: Dames électroniques
  subject:
    topic: artificial intelligence
  subject:
    topic: COMPUTERS
    topic: Enterprise Applications
    topic: Business Intelligence Tools
  subject:
    topic: COMPUTERS
    topic: Intelligence (AI) & Semantics
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computer checkers
  subject:
    topic: Evolutionary computation
  subject:
    topic: Machine learning
  subject:
    topic: Cerveaux électroniques
  subject:
    topic: Machines intelligentes
  subject:
    topic: Intelligence artificielle
  classification: Q335 .F595 2002eb
  classification: 006.3
  related item:
    title info:
      title: Blondie24
    name:
      name part: Fogel, David B.
    origin info:
      publisher: San Francisco : Morgan Kaufmann Publishers, ©2002
    identifier: (DLC) 2001094348
    identifier: (OCoLC)48549736
  related item:
    title info:
      title: Evolutionary Computation Ser
  identifier: 0585456615
  identifier: 9780585456614
  identifier: 9781558607835
  identifier: 1558607838
  identifier: 9780080500188
  identifier: 0080500188
  identifier: 97075:97075 Elsevier Science & Technology
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: N$T
    record creation date: 030715
    record change date: 20260326144423.1
    record identifier: in00005729735
    language of cataloging:
      language term: eng