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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:
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