Building a decision making framework using agent teams

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.