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: New Trends in Agent-Based Complex Automated Negotiations
  name:
    name part: Ito, Takayuki.
    role:
      role term: editor.
  name:
    name part: Zhang, Minjie.
    role:
      role term: editor.
  name:
    name part: Robu, Valentin.
    role:
      role term: editor.
  name:
    name part: Fatima, Shaheen.
    role:
      role term: editor.
  name:
    name part: Matsuo, Tokuro.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2012
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XII, 176 p. online resource.
  abstract: Complex Automated Negotiations represent an important, emerging area in the field of Autonomous Agents and Multi-Agent Systems. Automated negotiations can be complex, since there are a lot of factors that characterize such negotiations. These factors include the number of issues, dependencies between these issues, representation of utilities, the negotiation protocol, the number of parties in the negotiation (bilateral or multi-party), time constraints, etc. Software agents can support automation or simulation of such complex negotiations on the behalf of their owners, and can provide them with efficient bargaining strategies. To realize such a complex automated negotiation, we have to incorporate advanced Artificial Intelligence technologies includes search, CSP, graphical utility models, Bayes nets, auctions, utility graphs, predicting and learning methods. Applications could include e-commerce tools, decision-making support tools, negotiation support tools, collaboration tools, etc. This book aims to provide a description of the new trends in Agent-based, Complex Automated Negotiation, based on the papers from leading researchers. Moreover, it gives an overview of the latest scientific efforts in this field, such as the platform and strategies of automated negotiating techniques.
  table of contents: From the content: The Effect of Preference Representation on Learning Preferences in Negotiation -- Bilateral Single-Issue Negotiation Model Considering Nonlinear Utility and Time Constraint -- The Effect of Grouping Issues in Multiple Interdependent Issues Negotiation based on Cone-Constraints -- Automated Agents that Proficiently Negotiate with People: Can We Keep People out of the Evaluation Loop -- Matchmaking in Multi-attribute Auctions using a Genetic Algorithm and a Particle Swarm Approach.
  note: edited by Takayuki Ito, Minjie Zhang, Valentin Robu, Shaheen Fatima, Tokuro Matsuo.
  subject:
    topic: Engineering
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computational intelligence
  subject:
    topic: Engineering
  subject:
    topic: Computational Intelligence
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  classification: Q342
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Studies in Computational Intelligence, 383
  identifier: 9783642246968
  identifier: http://dx.doi.org/10.1007/978-3-642-24696-8
  record info:
    record creation date: 111103
    record change date: 20151125221234.0
    record identifier: 978-3-642-24696-8