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: Culture on the Edge of Chaos
    sub title: Cultural Algorithms and the Foundations of Social Intelligence
  name:
    name part: Reynolds, Robert G.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2018
    edition: 1st ed. 2018.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: VIII, 108 p. 67 illus., 52 illus. in color. online resource.
  abstract: The author first introduces the basic framework for cultural algorithms and he then explains the social structure of a cultural system as a mechanism for the distribution of problem-solving information throughout a population. Three different models for social organizations are presented: the homogeneous (nuclear family), heterogeneous (expanded family), and subculture (descent groups) social models. The chapters that follow compare the learning capabilities of these social organizations relative to problems of varying complexity. The book concludes with a discussion of how the results can impact our understanding of social evolution.
  table of contents: The Cultural Algorithm: Culture on the Edge of Chaos -- Cultural Algorithm Framework -- Modeling the Social Fabric -- Generating Chaos -- Social Metrics -- The Cultural Engine: Putting Individuals to Work -- Comparing Nuclear Family and Extended Family Organizations -- Comparison of Lineage Based Subculture Social Organization Performance -- Conclusions -- References.
  note: by Robert G. Reynolds.
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computational intelligence
  subject:
    topic: Application software
  subject:
    topic: Social sciences-Data processing
  subject:
    topic: Social sciences-Computer programs
  subject:
    topic: Artificial Intelligence
  subject:
    topic: Computational Intelligence
  subject:
    topic: Computer Appl. in Social and Behavioral Sciences
  subject:
    topic: Computational Social Sciences
  classification: Q334-342
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: SpringerBriefs in Computer Science
  identifier: 9783319741710
  identifier: https://doi.org/10.1007/978-3-319-74171-0
  record info:
    record creation date: 180502
    record change date: 20191220125316.0
    record identifier: 978-3-319-74171-0