Distributed Artificial Intelligence: Architecture and Modelling

Definition and application of a comprehensive framework for distributed problem solving.- A logical framework for multi-agent systems and joint attitudes.- A kernel-oriented model for autonomous-agent coalition-formation in general environments.- A knowledge-level model of co-ordination.- An evolutionary model of multi-agent systems.- Engagement and cooperation in motivated agent modelling.- A methodology for developing agent based systems.- Plans and the revision of intentions.- A formal view of social dependence networks.- From practice to theory in designing autonomous agents.- Motivation and perception mechanisms in mobile agents for electronic commerce.- Integrated agent architecture: Execution and recognition of mental-states.- Neural network strategies for solving synthesis problems in non-conflict cases in distributed expert systems.- A linearly quasi-anticipatory autonomous agent architecture: Some preliminary experiments.- Cooperation among opportunistic agents on a distributed environment.- A scenario-based design method and an environment for the development of multiagent systems.