CM50206: Intelligent agents
![]() | 2019/0 |
![]() | Department of Computer Science |
![]() | 6 [equivalent to 12 CATS credits] |
![]() | 120 |
![]() | Masters UG & PG (FHEQ level 7) |
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![]() | CW 60%, EX 40% |
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![]() | Aims: To introduce students to the principles of agents, agency, institutions and agent software development. Learning Outcomes: Students will: * know the factors that differentiate agents from other software systems; * be able to classify agents according to their competencies; * be able to describe and contrast different agent architectures, platforms and approaches to agent development; * be able to develop simple agent-based software systems; * have an understanding of the issues involved in designing, implementing and evaluating a multi-agent system; * have an understanding of contemporary research issues in the area of multi-agent systems. Skills: * Understanding theoretical concepts required for agent-based systems (T, A); * Ability to link theory and practice of multiagent systems (T, F, A); * Ability to apply current agent-based technology (T, F,A). Content: * Theory and practice of (multi-) agency. Selected topics from: logic, reasoning, negotiation, game theory, argumentation, institutions and norms, auctions, agent architectures, agent platforms, standards, ontologies and communication and content languages, decision making, trust and reputation; * Case studies of practical applications; * Discussion of research in the area of MAS. |
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CM50206 is Optional on the following programmes:Department of Computer Science
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