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DRPS : Course Catalogue : School of Informatics : Informatics

Undergraduate Course: Agent Based Systems (Level 10) (INFR10049)

Course Outline
SchoolSchool of Informatics CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 10 (Year 3 Undergraduate) AvailabilityAvailable to all students
SCQF Credits10 ECTS Credits5
SummaryAgent 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.
Course description 1. Introduction
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
13. Bargaining
14. Argumentation in Multiagent Systems
15. Summary and Concluding Remarks
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Students MUST have passed: Informatics 2D - Reasoning and Agents (INFR08010) OR Informatics Research Review (INFR11136)
Prohibited Combinations 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? Yes
Course Delivery Information
Academic year 2016/17, Available to all students (SV1) Quota:  None
Course Start Semester 2
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 100 ( Lecture Hours 15, Seminar/Tutorial Hours 8, Feedback/Feedforward Hours 1, Summative Assessment Hours 2, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 72 )
Assessment (Further Info) Written Exam 75 %, Coursework 25 %, Practical Exam 0 %
Additional Information (Assessment) Two assessments - 1 formative (for feedback).
- 1 summative (25% of course total).

The assessed coursework involves producing a semi-formal specification and narrative description of a system that uses agent-based techniques in a target application domain. Each student has to work on a different target scenario provided by the lecturer.
Feedback Not entered
Exam Information
Exam Diet Paper Name Hours & Minutes
Main Exam Diet S2 (April/May)2:00
Resit Exam Diet (August)2:00
Learning Outcomes
On completion of this course, the student will be able to:
  1. Describe and evaluate different architectures for intelligent agents and interaction mechanisms for cooperative and competitive settings.
  2. Use abstract formal models of agents and agent interactions to specify concrete designs and analyse their properties.
  3. Demonstrate an understanding of the algorithmic and theoretical foundations of agents and multiagent systems, with an emphasis on knowledge-based and game-theoretic techniques.
  4. Be able to model, analyse and critically evaluate distributed systems using agent-based abstractions and related concepts.
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.
Additional Information
Course URL
Graduate Attributes and Skills Not entered
KeywordsNot entered
Course organiserDr Michael Rovatsos
Tel: (0131 6)51 3263
Course secretaryMrs Victoria Swann
Tel: (0131 6)51 7607
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