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: Autonomous Dynamic Reconfiguration in Multi-Agent Systems
    sub title: Improving the Quality and Efficiency of Collaborative Problem Solving
  name:
    name part: Hannebauer, Markus.
    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: 2002
    edition: 1st ed. 2002.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXII, 290 p. online resource.
  abstract: High communication efforts and poor problem solving results due to restricted overview are two central issues in collaborative problem solving. This work addresses these issues by introducing the processes of agent melting and agent splitting that enable individual problem solving agents to continually and autonomously reconfigure and adapt themselves to the particular problem to be solved. The author provides a sound theoretical foundation of collaborative problem solving itself and introduces various new design concepts and techniques to improve its quality and efficiency, such as the multi-phase agreement finding protocol for external problem solving, the composable belief-desire-intention agent architecture, and the distribution-aware constraint specification architecture for internal problem solving. The practical relevance and applicability of the concepts and techniques provided are demonstrated by using medical appointment scheduling as a case study.
  table of contents: 1.Overview -- 2. Basics of Collaborative Problem Solving -- Theoretical Foundations -- 3. Distributed Constraint Problems - A Model for Collaborative Problem Solving -- 4. Autonomous Dynamic Reconfiguration - Improving Collaborative Problem Solving -- Practical Concepts -- 5. Multi-agent System Infrastructure -- 6. External Constraint Problem Solving -- 7. Composable BDI Agents -- 8. Internal Constraint Problem Solving -- 9. Controlling Agent Melting and Agent Splitting -- Assessment -- 10. Evaluation -- 11. Conclusion and Future Work -- A. Symbols and Abbreviations -- B. An XML-Encoded Request Message -- C. SICStus Prolog Code for Internal Constraint Problem Solving -- D. Initialization of the Hospital Scenario Generator.
  note: by Markus Hannebauer.
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computer communication systems
  subject:
    topic: Programming languages (Electronic computers)
  subject:
    topic: Application software
  subject:
    topic: Computers and civilization
  subject:
    topic: Information technology
  subject:
    topic: Business-Data processing
  subject:
    topic: Artificial Intelligence
  subject:
    topic: Computer Communication Networks
  subject:
    topic: Programming Languages, Compilers, Interpreters
  subject:
    topic: Information Systems Applications (incl. Internet)
  subject:
    topic: Computers and Society
  subject:
    topic: IT in Business
  classification: Q334-342
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Artificial Intelligence ; 2427
  identifier: 9783540458340
  identifier: https://doi.org/10.1007/3-540-45834-4
  record info:
    record creation date: 121227
    record change date: 20191028102537.0
    record identifier: 978-3-540-45834-0