CM30174: Intelligent agents
Academic Year: | 2019/0 |
Owning Department/School: | Department of Computer Science |
Credits: | 6 [equivalent to 12 CATS credits] |
Notional Study Hours: | 120 |
Level: | Honours (FHEQ level 6) |
Period: |
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Assessment Summary: | CW 50%, EX 50% |
Assessment Detail: |
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Supplementary Assessment: |
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Requisites: | Before taking this module you must take CM10227 AND take CM10228 |
Description: | Aims: To introduce students to the principles of agents, agency, institutions and agent software development. Learning Outcomes: Students will: 1. know the factors that differentiate agents from other software systems and be able to classify agents according to their competencies. 2. be able to describe and contrast different agent architectures, platforms and approaches to agent development. 3. be able to develop simple agent-based software systems. 4. have an understanding of the issues involved in designing, implementating and evaluating a multi-agent system Skills: Problem Solving (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; agent-oriented software * case studies of practical applications; * Discussion of research in the area of MAS. |
Programme availability: |
CM30174 is Optional on the following programmes:Department of Computer Science
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Notes:
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