Undergraduate Course: Agent Based Systems (Level 9) (INFR09036)
Course Outline
School |
School of Informatics |
College |
College of Science and Engineering |
Course type |
Standard |
Availability |
Available to all students |
Credit level (Normal year taken) |
SCQF Level 09 (Year 3 Undergraduate) |
Credits |
10 |
Home subject area |
Informatics |
Other subject area |
None |
Course website |
http://www.inf.ed.ac.uk/teaching/courses/2009/abs.html |
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Course description |
Agent technology has emerged as a new area within Artificial Intelligence in the last two decades, exploring systems in which it is assumed that the computational components are autonomous, and interact with each other in a common environment. The aim of this course is to provide a comprehensive introduction to agents and multiagent systems. It covers a broad range of topics including agent architectures, agent interaction and communication, and game-theoretic methods and models of distributed rational decision making. It lays the foundations for advanced courses such as Multi-Agent Semantic Web Systems and Algorithmic Game Theory and its Applications. |
Entry Requirements
Pre-requisites |
Students MUST have passed:
Informatics 2D - Reasoning and Agents (INFR08010)
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Co-requisites |
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Prohibited Combinations |
Students MUST NOT also be taking
Agent Based Systems (Level 10) (INFR10049)
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Other requirements |
Successful completion of Year 2 of an Informatics Single or Combined Degree, or
equivalent by permission of the School. Students must also have a basic knowledge of probability theory and a good command of propositional and first-order logic.
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Additional Costs |
None |
Course Delivery Information
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Delivery period: 2010/11 Semester 2, Available to all students (SV1)
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WebCT enabled: No |
Quota: None |
Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
Central | Lecture | | 1-11 | 10:00 - 10:50 | | | | | Central | Lecture | | 1-11 | | | | 10:00 - 10:50 | |
First Class |
Week 1, Monday, 10:00 - 10:50, Zone: Central. Room G.02, William Robertson Building |
Summary of Intended Learning Outcomes
- Describe and discuss different architectures for intelligent agents and interaction mechanisms for cooperative and competitive settings.
- Use abstract formal models of agents and agent interactions to analyse the properties of concrete designs.
- Explain the algorithmic and theoretical foundations of agents and multiagent systems, with an emphasis on knowledge-based and game-theoretic techniques.
- Be able to model, analyse and critically evaluate distributed systems using agent-based abstractions and related concepts. |
Assessment Information
Written Examination: 100%
Assessed Assignments: 0%
Oral Presentations: 0%
Assessment:
A final written exam, no assessed assignments.
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Please see Visiting Student Prospectus website for Visiting Student Assessment information |
Special Arrangements
Not entered |
Contacts
Course organiser |
Dr Marcelo Cintra
Tel: (0131 6)50 5118
Email: mc@inf.ed.ac.uk |
Course secretary |
Miss Tamise Totterdell
Tel: 0131 650 9970
Email: t.totterdell@ed.ac.uk |
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copyright 2010 The University of Edinburgh -
1 September 2010 6:10 am
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