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:
    non sort: The
    title: Local Information Dynamics of Distributed Computation in Complex Systems
  name:
    name part: Lizier, Joseph T.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2013
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXIV, 236 p. online resource.
  abstract: The nature of distributed computation in complex systems has often been described in terms of memory, communication and processing. This thesis presents a complete information-theoretic framework to quantify these operations on information (i.e. information storage, transfer and modification), and in particular their dynamics in space and time. The framework is applied to cellular automata, and delivers important insights into the fundamental nature of distributed computation and the dynamics of complex systems (e.g. that gliders are dominant information transfer agents). Applications to several important network models, including random Boolean networks, suggest that the capability for information storage and coherent transfer are maximized near the critical regime in certain order-chaos phase transitions. Further applications to study and design information structure in the contexts of computational neuroscience and guided self-organization underline the practical utility of the techniques presented here. .
  table of contents: Introduction -- Computation in complex systems -- Information storage -- Information transfer -- Information modifications -- Information dynamics in networks and phase transitions -- Coherent information structure in complex computation -- Information transfer in biological and bio-inspired systems -- Conclusion.
  note: by Joseph T. Lizier.
  subject:
    topic: Engineering
  subject:
    topic: Coding theory
  subject:
    topic: Artificial intelligence
  subject:
    topic: Bioinformatics
  subject:
    topic: Complexity, Computational
  subject:
    topic: Engineering
  subject:
    topic: Complexity
  subject:
    topic: Coding and Information Theory
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Computational Biology/Bioinformatics
  classification: QA76.9.M35
  classification: 620
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Springer Theses, Recognizing Outstanding Ph.D. Research
  identifier: 9783642329524
  identifier: http://dx.doi.org/10.1007/978-3-642-32952-4
  record info:
    record creation date: 121116
    record change date: 20151030091423.0
    record identifier: 978-3-642-32952-4