Strategy selection-based meta-level reasoning for multi-agent problem-solving

  • Authors:
  • K. Suzanne Barber;David C. Han;Tse-Hsin Liu

  • Affiliations:
  • -;-;-

  • Venue:
  • First international workshop, AOSE 2000 on Agent-oriented software engineering
  • Year:
  • 2001

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Abstract

Researchers have developed various techniques to address MAS problemsolving activities, i.e., agent organization construction, plan generation, task allocation, plan integration, and plan execution. An agentís respective problem solving and coordination techniques must be properly understood before they can be included into any other software system. ëStrategiesí describe the techniques by which agents perform their individual decision-making processes and coordinate those processes with other agents. This chapter describes current work in characterizing agent operations, specifically, the representation of strategies in terms of roles and interactions as well as a trade-off evaluation mechanism for deciding which strategy is most appropriate for a given situation. On-line evaluation and selection of strategies will allow agents to tailor their behavior to given environment situations and thus, offer increase flexibility and adaptability of response.