• DocumentCode
    2828326
  • Title

    Determining successful negotiation strategies: an evolutionary approach

  • Author

    Matos, Noyda ; Sierra, Carles ; Jennings, Nick R.

  • Author_Institution
    Artificial Intelligence Res. Inst., Catalonia, Spain
  • fYear
    1998
  • fDate
    3-7 Jul 1998
  • Firstpage
    182
  • Lastpage
    189
  • Abstract
    To be successful in open, multi-agent environments, autonomous agents must be capable of adapting their negotiation strategies and tactics to their prevailing circumstances. To this end, we present an empirical study showing the relative success of different strategies against different types of opponent in different environments. In particular we adopt an evolutionary approach in which strategies and tactics correspond to the genetic material in a genetic algorithm. We conduct a series of experiments to determine the most successful strategies and to see how and when these strategies evolve depending on the context and negotiation stance of the agent´s opponent
  • Keywords
    cooperative systems; genetic algorithms; software agents; autonomous agents; evolutionary approach; genetic algorithm; open multi-agent environments; successful negotiation strategies determination; Artificial intelligence; Conducting materials; Councils; Educational institutions; Encoding; Genetic algorithms; Multiagent systems; Performance evaluation; Tail;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multi Agent Systems, 1998. Proceedings. International Conference on
  • Conference_Location
    Paris
  • Print_ISBN
    0-8186-8500-X
  • Type

    conf

  • DOI
    10.1109/ICMAS.1998.699048
  • Filename
    699048