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Article type: Research Article
Authors: Tweedale, Jeffreya; * | Ichalkaranje, Nikhilc | Sioutis, Christosb | Urlings, Pierreb | Jain, Lakhmia
Affiliations: [a] School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, Mawson Lakes, SA 5095, Australia | [b] Air Operations Division, Defence Science and Technology Organisation, Edinburgh SA 5111, Australia | [c] Department of Communications, IT and the Arts, Canberra, Australia
Correspondence: [*] Corresponding author. E-mail: [email protected]
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.
Keywords: Intelligent agents, teaming, decision making
DOI: 10.3233/IDT-2007-1401
Journal: Intelligent Decision Technologies, vol. 1, no. 4, pp. 175-181, 2007
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