Agent-Based Computing

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Bibliographic Details
Title: Agent-Based Computing
Description: Multi-agent systems (MAS) often deal with complex applications that require distributed problem solving. In many applications, the individual and collective behavior of the agents depends on the observed data from distributed sources. This book discusses a number of research issues concerned with the use of Multi-Agent Systems for Data Mining (MADM), also known as agent-driven data mining. In addition, optimization algorithms are very important in modern research and industrial areas. This book examines one multi-population co-genetic algorithm (MPAGA) with double chain-like agent structure to realize parallel optimization, combining chain-like agent structure and multi-population parallel searching. Furthermore, this book proposes an efficient modular artificial neural network (ANN) architecture for the intelligent decision making of a robot in a robot soccer systems with different team configurations. Other chapters review the use of radio frequency identification (RFID) technology with supply chain agents and then analyze the security requirements, describe how to design and implement a large-scale multi-agent simulation software, and provide a framework of evacuation simulation for urban hazards such as flooding with effective agent's interaction tools with other agents and the physical environment.
Authors: Bouça, Duarte, Gafagnão, Amaro
Resource Type: eBook.
Subjects: Intelligent agents (Computer software), Distributed artificial intelligence, Data mining
Categories: COMPUTERS / Business & Productivity Software / Business Intelligence, COMPUTERS / Artificial Intelligence / General
Database: eBook Collection (EBSCOhost)
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  – Type: ebook-pdf
Text:
  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 339708
RelevancyScore: 1031
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1031.17456054688
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  Data: Agent-Based Computing
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  Label: Description
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  Data: Multi-agent systems (MAS) often deal with complex applications that require distributed problem solving. In many applications, the individual and collective behavior of the agents depends on the observed data from distributed sources. This book discusses a number of research issues concerned with the use of Multi-Agent Systems for Data Mining (MADM), also known as agent-driven data mining. In addition, optimization algorithms are very important in modern research and industrial areas. This book examines one multi-population co-genetic algorithm (MPAGA) with double chain-like agent structure to realize parallel optimization, combining chain-like agent structure and multi-population parallel searching. Furthermore, this book proposes an efficient modular artificial neural network (ANN) architecture for the intelligent decision making of a robot in a robot soccer systems with different team configurations. Other chapters review the use of radio frequency identification (RFID) technology with supply chain agents and then analyze the security requirements, describe how to design and implement a large-scale multi-agent simulation software, and provide a framework of evacuation simulation for urban hazards such as flooding with effective agent's interaction tools with other agents and the physical environment.
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  Data: <searchLink fieldCode="DE" term="%22Intelligent+agents+%28Computer+software%29%22">Intelligent agents (Computer software)</searchLink><br /><searchLink fieldCode="DE" term="%22Distributed+artificial+intelligence%22">Distributed artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Data+mining%22">Data mining</searchLink>
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 006.3
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Intelligent agents (Computer software)
        Type: general
      – SubjectFull: Distributed artificial intelligence
        Type: general
      – SubjectFull: Data mining
        Type: general
    Titles:
      – TitleFull: Agent-Based Computing
        Type: main
  BibRelationships:
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      – PersonEntity:
          Name:
            NameFull: Bouça, Duarte
      – PersonEntity:
          Name:
            NameFull: Gafagnão, Amaro
      – PersonEntity:
          Name:
            NameFull: Bouça, Duarte
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            NameFull: Gafagnão, Amaro
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2010
            – D: 04
              M: 02
              Type: profile
              Y: 2014
          Identifiers:
            – Type: isbn-print
              Value: 9781608766840
            – Type: isbn-electronic
              Value: 9781611225761
          Titles:
            – TitleFull: Agent-Based Computing
              Type: main
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