Contact: Professor Nick R. Jennings<>
Course: Intelligent Agents
Lecturer: Nick Jennings

Introduction to agent-based computing
Motivations for agent-based computing
Key concepts and models
Agent architectures (deliberative, reactive, hybrid)
Rational decision making (decision theoretic, belief-desire-intention)
Mobile agents
Agent Interactions
Coordination (organisation models, social laws, social dependencies)
Cooperation (team-oriented problem solving, coalition formation)
Negotiation (mechanism design, heuristic models, argumentation)
Computational markets (auctions, competition)
Agent-Oriented Software Engineering
Benefits and Potential Drawbacks
Agent Methodologies
Application Case Studies (agent-mediated electronic commerce, business process management, telecommunications network management)

Duration: 1 Semester
Offered by regular staff members?: Yes
Average number and education level of students: 30

Suggested Literature: An extensive selection of articles and books will be provided for directed reading purposes.


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