• DocumentCode
    2271011
  • Title

    Integrated individual and social reasoning models for organizational agents

  • Author

    Barbuceanu, Mihai ; Lo, Wai-Kau

  • Author_Institution
    Enterprise Integration Lab., Toronto Univ., Ont., Canada
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    365
  • Lastpage
    366
  • Abstract
    The key to being able to collaborate effectively is an agent´s ability to integrate reasoning about the best individual courses of actions with reasoning about who to collaborate with to achieve those goals that lie outside the agent´s control. We present and integrate models of individual and social reasoning that allow an agent to find the individual behaviors with highest utility, determine the structure of teams that can achieve the goals outside its control with minimal cost, and negotiate the participation of agents in these teams. Teams are determined in a manner that specifies which agent achieves every goal, what agents coordinate other agents, what is every participating agent´s pay-off and what is the total cost of involving the team
  • Keywords
    computational complexity; inference mechanisms; multi-agent systems; planning (artificial intelligence); agent participation; agent pay-off; best individual courses of actions; individual behaviors; organizational agents; social reasoning models; team structure; total cost; Assembly; Cascading style sheets; Collaboration; Contracts; Costs; Customer service; Laboratories; Project management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    MultiAgent Systems, 2000. Proceedings. Fourth International Conference on
  • Conference_Location
    Boston, MA
  • Print_ISBN
    0-7695-0625-9
  • Type

    conf

  • DOI
    10.1109/ICMAS.2000.858477
  • Filename
    858477