A problem solving model for collaborative agents

  • Authors:
  • James Allen;Nate Blaylock;George Ferguson

  • Affiliations:
  • University of Rochester, Rochester, New York;University of Rochester, Rochester, New York;University of Rochester, Rochester, New York

  • Venue:
  • Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
  • Year:
  • 2002

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Abstract

This paper describes a model of problem solving for use in collaborative agents. It is intended as a practical model for use in implemented systems, rather than a study of the theoretical underpinnings of collaborative action. The model is based on our experience in building a series of interactive systems in different domains, including route planning, emergency management, and medical advising. It is currently being used in an implemented, end-to- end spoken dialogue system in which the system assists a person in managing their medications. While we are primarily focussed on human-machine collaboration, we believe that the model will equally well apply to interactions between sophisticated software agents that need to coordinate their activities.