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: Emergence of Communication in Socio-Biological Networks
  name:
    name part: Berea, Anamaria.
    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, 88 p. online resource.
  abstract: This book integrates current advances in biology, economics of information and linguistics research through applications using agent-based modeling and social network analysis to develop scenarios of communication and language emergence in the social aspects of biological communications. The book presents a model of communication emergence that can be applied both to human and non-human living organism networks. The model is based on economic concepts and individual behavior fundamental for the study of trust and reputation networks in social science, particularly in economics; it is also based on the theory of the emergence of norms and historical path dependence that has been influential in institutional economics. Also included are mathematical models and code for agent-based models to explore various scenarios of language evolution, as well as a computer application that explores language and communication in biological versus social organisms, and the emergence of various meanings and grammars in human networks. Emergence of Communication in Socio-Biological Networks offers both a completely novel approach to communication emergence and language evolution and provides a path for the reader to explore various scenarios of language and communication that are not constrained to the human networks alone. By illustrating how computational social science and the complex systems approach can incorporate multiple disciplines and offer an integrated theory-model approach to the evolution of language, the book will be of interest to researchers working with computational linguistics, mathematical linguistics, and complex systems.
  table of contents: Introduction -- Complex Systems and Economics of Information -- Heterogeneity in Complex Communication Systems -- A Model of Adaptive and Selective Communication -- Intra versus Interspecies Communication: Boundaries and Advances -- Emergence of Language -- The Future of Communication. Conclusions.
  note: by Anamaria Berea.
  subject:
    topic: Sociophysics
  subject:
    topic: Econophysics
  subject:
    topic: Computational linguistics
  subject:
    topic: Computer simulation
  subject:
    topic: Systems biology
  subject:
    topic: Biological systems
  subject:
    topic: Data-driven Science, Modeling and Theory Building
  subject:
    topic: Computational Linguistics
  subject:
    topic: Simulation and Modeling
  subject:
    topic: Systems Biology
  classification: QC1-999
  classification: 621
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Computational Social Sciences
  identifier: 9783319645650
  identifier: https://doi.org/10.1007/978-3-319-64565-0
  record info:
    record creation date: 171217
    record change date: 20191023172007.0
    record identifier: 978-3-319-64565-0