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DRPS : Course Catalogue : School of Informatics : Informatics

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 9 (Year 3 Undergraduate) Credits 10
Home subject area Informatics Other subject area None
Course website Taught in Gaelic? No
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)
Prohibited Combinations Students MUST NOT also be taking Agent Based Systems (Level 10) (INFR10049)
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.
Additional Costs None
Information for Visiting Students
Pre-requisites None
Displayed in Visiting Students Prospectus? No
Course Delivery Information
Delivery period: 2011/12 Semester 2, Available to all students (SV1) WebCT enabled:  No Quota:  None
Location Activity Description Weeks Monday Tuesday Wednesday Thursday Friday
CentralLecture1-11 10:00 - 10:50
CentralLecture1-11 10:00 - 10:50
First Class First class information not currently available
Exam Information
Exam Diet Paper Name Hours:Minutes
Main Exam Diet S2 (April/May)2:00
Resit Exam Diet (August)2:00
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%


A final written exam, no assessed assignments.

Special Arrangements
Additional Information
Academic description Not entered
Syllabus 1. Basics
- Definitions of agency
- Properties of agents

2. Agent architectures
- Deductive reasoning agents
- Practical reasoning
- Reactive and hybrid agents

3. Agent interaction
- Agent communication
- Game-theoretic models of interaction

4. Distributed rational decision making
- Social choice and voting
- Coalition formation
- Resource allocation
- Bargaining
- Argumentation

5. Logics for multiagent systems
Transferable skills Not entered
Reading list - M. Wooldridge. An Introduction to MultiAgent Systems, 2nd edition, John Wiley & Sons, 2009
- Y. Shoham and K. Leyton-Brown. Multiagent Systems: Algorithmic, Game Theoretic and Logical Foundations, Cambridge University Press, 2009.
Study Abroad Not entered
Study Pattern Lectures 20
Tutorials 8
Timetabled Laboratories 0
Non-timetabled Assessed Assignments 0
Private Study/Other 72
Total 100

Keywords Not entered
Course organiser Dr Marcelo Cintra
Tel: (0131 6)50 5118
Course secretary Miss Tamise Totterdell
Tel: 0131 650 9970
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copyright 2011 The University of Edinburgh - 3 April 2011 11:20 am