We build the generic methodology based on machine learning and reasoning to detect the patterns of interaction between conflicting agents, including humans and their assistants. L...
In this paper, we study the following basic problem: After having executed a sequence of actions, find a sequence of actions that brings the agent back to the state just before th...
In recent years auctions have become more and more important in the field of multiagent systems as useful mechanisms for resource allocation, task assignment and last but not leas...
Abstract. We present a modelling language, called X-Policy, for webbased collaborative systems with dynamic access control policies. The access to resources in these systems depend...
This paper describes a method for decision making using argumentation. The method is intended to produce the decision considered most likely to promote the agent's aims and as...
Fahd Saud Nawwab, Trevor J. M. Bench-Capon, Paul E...