Agent Based Systems (U02497)

? Credit Points : 10 ? SCQF Level : 9 ? Acronym : INF-3-ABS

The aim of this course is to provide a comprehensive introduction to agents and multiagent systems. It covers a broad range of distributed artificial intelligence topics including agent architectures, agent interaction and communication, and applications of agent-based systems. It lays the foundations for advanced courses such as Multi-Agent Semantic Web Systems.

Entry Requirements

? Pre-requisites : Informatics 2D Introduction to Java Programming 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.

Subject Areas

Home subject area

Artificial Intelligence, (School of Informatics, Schedule O)

Other subject areas

Cognitive Science, (School of Informatics, Schedule O)

Computational Linguistics, (School of Informatics, Schedule O)

Delivery Information

? Normal year taken : 3rd year

? Delivery Period : Semester 2 (Blocks 3-4)

? Contact Teaching Time : 2 hour(s) per week for 10 weeks

First Class Information

Date	Start	End	Room	Area	Additional Information
12/01/2009	11:10	12:00	Room G.04, William Robertson Building	Central

All of the following classes

Type	Day	Start	End	Area
Lecture	Monday	11:10	12:00	Central
Lecture	Thursday	11:10	12:00	Central

Summary of Intended Learning Outcomes

After completion of the course, students will:
* have gained an understanding of the "agent" perspective on computational systems,
* be able to analyse and model distributed systems in terms of openness, decentralisation and autonomy,
* be capable of designing and implementing intelligent agents using different architectures,
* have developped a sense for the importance of integrating different AI techniques when constructing intelligent agents,
* know how to make agents work together (or against each other) through an appropriate use of interaction mechanisms, and
* be able to apply this knowledge to design distributed intelligent systems to meet the demands of modern, distributed computing environments.