• DocumentCode
    2640640
  • Title

    Emergent behavior based on disparity of individual capability

  • Author

    Iio, Takamasa ; Tanev, Ivan ; Shimohara, Katsunori

  • Author_Institution
    Doshisha Univ., Kyoto
  • fYear
    2007
  • fDate
    17-20 Sept. 2007
  • Firstpage
    1588
  • Lastpage
    1592
  • Abstract
    We present the result of our research on the emergent behavior of heterogeneous agents in multi-agent system (MAS). We extended the commonly considered MAS for the predator prey problem (PPP), initially comprising homogeneous predator agents into heterogeneous MAS featuring predator agents with diverse sensory and moving abilities. Moreover, we evolved, via genetic programming, the behavior of these agents, and discovered the emergence of a characteristic behavior that is (i) unique to the heterogeneous systems, (ii) well specialized to fit the individual morphological features of the agents, and (iii) more efficient than that of the homogeneous agents.
  • Keywords
    genetic algorithms; multi-agent systems; genetic programming; heterogeneous MAS; homogeneous predator agents; multiagent system; predator prey problem; Application software; Artificial intelligence; Computer science; Distributed computing; Genetic programming; Information systems; Intelligent robots; Knowledge engineering; Multiagent systems; Problem-solving; Credit Assignment Problem; Emergent Behavior; Heterogeneous Agents; Multi-Agent System;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE, 2007 Annual Conference
  • Conference_Location
    Takamatsu
  • Print_ISBN
    978-4-907764-27-2
  • Electronic_ISBN
    978-4-907764-27-2
  • Type

    conf

  • DOI
    10.1109/SICE.2007.4421236
  • Filename
    4421236