Scaling Up Agent Coordination Strategies

  • Authors:
  • Edmund H. Durfee

  • Affiliations:
  • -

  • Venue:
  • Computer
  • Year:
  • 2001

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Abstract

Exactly what an intelligent agent is and in what sense a computational agent can behave intelligently remain the subjects of considerable debate. However, most researchers and developers would agree that coordination is an intelligent agent's central concern. Without coordination, agents can unintentionally waste their efforts, squander resources, or fail to accomplish objectives that require collective effort. Advances in agent-oriented software engineering make it possible to develop complex, distributed systems, but the component agents must be able to act and interact flexibly. Characterizing agent population properties, their task environments, and their collective behavior are key to understanding the capabilities and limitations of coordination strategies that support flexible component agent interaction. Researchers face the challenge of developing a better-- preferably quantifiable--understanding of exactly how far different strategies can scale along the dimensions required to apply intelligent agent systems to increasingly challenging problems.