Building a decision making framework using agent teams

  • Authors:

  • Jeffrey Tweedale;Nikhil Ichalkaranje;Christos Sioutis;Pierre Urlings;Lakhmi Jain

  • Affiliations:

  • School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, Mawson Lakes, SA 5095, Australia;Department of Communications, IT and the Arts, Canberra, Australia;Air Operations Division, Defence Science and Technology Organisation, Edinburgh SA 5111, Australia;Air Operations Division, Defence Science and Technology Organisation, Edinburgh SA 5111, Australia;School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, Mawson Lakes, SA 5095, Australia

  • Venue:
  • Intelligent Decision Technologies
  • Year:
  • 2007

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Abstract

This article describes preliminary work performed to gain an understanding of how to implement Decision support system that collaborate between intelligent agents in a Multi-Agent System MAS when human interaction is involved. A condensed description of previous research shows how developments in the agent software frameworks can be implemented using reasoning and learning models. Cooperation is a type of relationship that is evident within structured teams where collaboration involves the creation of temporary relationships between those agents and/or humans to achieve their respective goals. Due to the inherent physical separation between humans and agents, the concept of collaboration has been identified as the means of realizing human-agent teams to assist with decision making. An example application is also provided to demonstrate this research.