CM50206: Intelligent agents
[Page last updated: 27 October 2020]
Academic Year: | 2020/1 |
Owning Department/School: | Department of Computer Science |
Credits: | 6 [equivalent to 12 CATS credits] |
Notional Study Hours: | 120 |
Level: | Masters UG & PG (FHEQ level 7) |
Period: |
- Semester 1
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Assessment Summary: | CW 60%, EX 40% |
Assessment Detail: |
- Coursework 1 (CW 40%)
- Coursework 2 (CW 20%)
- Examination (EX 40%)
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Supplementary Assessment: |
- Like-for-like reassessment (where allowed by programme regulations)
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Requisites: |
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Description: | 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. |
Programme availability: |
CM50206 is Optional on the following programmes:
Department of Computer Science
- RSCM-AFM51 : Integrated PhD Accountable, Responsible and Transparent Artificial Intelligence
- TSCM-AFM51 : MRes Accountable, Responsible and Transparent Artificial Intelligence
- TSCM-AFM52 : MSc Accountable, Responsible and Transparent Artificial Intelligence
- TSCM-AFM48 : MSc Machine Learning and Autonomous Systems
- TSCM-AWM48 : MSc Machine Learning and Autonomous Systems
- TSCM-AFM21 : MSc Software Systems
- TSCM-AWM35 : MSc Software Systems
- USCM-AFM01 : MComp(Hons) Computer Science (Year 4)
- USCM-AAM02 : MComp(Hons) Computer Science with Study year abroad (Year 5)
- USCM-AKM02 : MComp(Hons) Computer Science with Year long work placement (Year 5)
- USCM-AFM14 : MComp(Hons) Computer Science and Mathematics (Year 4)
- USCM-AAM14 : MComp(Hons) Computer Science and Mathematics with Study year abroad (Year 5)
- USCM-AKM14 : MComp(Hons) Computer Science and Mathematics with Year long work placement (Year 5)
Department of Electronic & Electrical Engineering
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Notes: - This unit catalogue is applicable for the 2020/21 academic year only. Students continuing their studies into 2021/22 and beyond should not assume that this unit will be available in future years in the format displayed here for 2020/21.
- Programmes and units are subject to change in accordance with normal University procedures.
- Availability of units will be subject to constraints such as staff availability, minimum and maximum group sizes, and timetabling factors as well as a student's ability to meet any pre-requisite rules.
- Find out more about these and other important University terms and conditions here.
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