Agent-Based Systems Group : Research

Current and recent research projects include:

  • Motivation, Trust and Reputation as the Foundation for Cooperation

    For an autonomous agent to enter into cooperation with others is to choose an uncertain path, i.e. it exposes itself to an element of risk arising from the autonomous nature of others (possibly exacerbated by a dynamic environment). We take the notions of trust, reputation and motivation to be fundamental to engendering successful cooperation between autonomous entities, and we are investigating models of cooperation that account for the important roles played by these concepts. In particular we are interested in the application of the resulting models within such domains as peer-to-peer systems and service-oriented computing.

  • Cooperation in Multi-Agent Systems

    Cooperation underpins multi-agent systems in which individual agents must interact for the overall system to function effectively. This research aims to investigate the mental components and mechanisms that are needed for autonomous agents to cooperate effectively, and to construct a formal model of cooperative activity. A key factor in the construction of this model is the view that cooperation must be motivated in each of the participants, without which any model is incomplete.

  • A Formal Framework for Agency, Autonomy, and Cooperation

    Previous work at Warwick (in particular that of Dr. Michael Luck, now at the University of Southampton) developed a formal framework that gives precise meanings for common agent concepts and terms. This framework provides a foundation for ongoing research. In ongoing collaboration with others we are concerned with the development of an encompassing formal framework for the robust and decentralised coordination and cooperation of distributed autonomous agents.

  • An Autonomous Multi-Agent System for Adaptive Education

    We are developing a novel use of agent technology using autonomous agents to address the key functions of intelligent tutoring systems. , Our approach uses learning style schemes to adapt to students' individual needs, and which supports the use of learning objects.

Past research projects include: