Faculty of Science

Objectives

To facilitate an integrated understanding of agents, multi-agent systems and their practical applications.

Contents

Introductory notions in artificial intelligence and distributed artificial intelligence; Agents: nature, types and architectures; Multi-agent systems: communication, cooperation, negotiations; applications of agents; biologically inspired approaches to multi-agent systems; social/organizational-inspired multi-agent systems; Multi-agent test beds (e.g., SWARM) and Engineering environments; Applications: e.g., business, networking, WWW.