Undergraduate Course: Agent Based Systems (Level 10) (INFR10049)
|School||School of Informatics
||College||College of Science and Engineering
|Credit level (Normal year taken)||SCQF Level 10 (Year 3 Undergraduate)
||Availability||Available to all students
|Summary||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.
2. Formal notation and logic-based modelling
3. Abstract Agent Architectures
4. Deductive Reasoning Agents
5. Practical Reasoning Agents
6. Reactive and Hybrid Agent Architectures
7. Agent Communication
8. Methods for Coordination
9. Multiagent Interactions
10. Social Choice
11. Coalition Formation
12. Resource Allocation
14. Argumentation in Multiagent Systems
15. Summary and Concluding Remarks
Entry Requirements (not applicable to Visiting Students)
|| Students MUST have passed:
Informatics 2D - Reasoning and Agents (INFR08010) OR
Informatics Research Review (INFR11136)
||Other requirements|| This course is open to all Informatics students including those on joint degrees. For external students where this course is not listed in your DPT, please seek special permission from the course organiser.
Informatics 2D - Reasoning and Agents or equivalent background for MSc Students.
Students must also have a basic knowledge of probability theory and a good command of propositional and first-order logic.
Information for Visiting Students
|High Demand Course?
Course Delivery Information
|Not being delivered|
On completion of this course, the student will be able to:
- Describe and evaluate different architectures for intelligent agents and interaction mechanisms for cooperative and competitive settings.
- Use abstract formal models of agents and agent interactions to specify concrete designs and analyse their properties.
- Demonstrate an understanding of 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.
|- 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.
|Course organiser||Dr Michael Rovatsos
Tel: (0131 6)51 3263
|Course secretary||Mrs Victoria Swann
Tel: (0131 6)51 7607