Multi-agent Semantic Web Systems (Level 11) (P01198)

? Credit Points : 10 ? SCQF Level : 11 ? Acronym : INF-P-MASWS

The aim of the course is to give students an understanding of the theory and practice of large-scale, knowledge-based systems operating in an open, distributed environment. The primary intended examples of such systems are the Semantic Web; the semantic layer of grid based systems; and the coordination aspects of open multi-agent systems.

This course is identical to the level 10 version except for the assessed coursework and additional learning outcome.

Entry Requirements

? Pre-requisites : For Informatics PG students and final year MInf students only, or by special permission of the School. Students should have a basic familiarity with the syntax and semantics of first order logic.

? Prohibited combinations : Multi-agent Semantic Web Systems (Level 10)

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)

Net-Centric Computing, (School of Informatics, Schedule O)

Delivery Information

? Normal year taken : Postgraduate

? 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	12:10	13:00	Room 4.12, Appleton Tower	Central

All of the following classes

Type	Day	Start	End	Area
Lecture	Monday	12:10	13:00	Central
Lecture	Thursday	12:10	13:00	Central

Summary of Intended Learning Outcomes

On completion of the course, students should be able to:

1. Show an understanding of the basic principles of different theoretical models of distributed knowledge-based systems, and assess their applicability to specific knowledge-sharing tasks.
2. Describe the motivations for, and effectiveness of, inference and planning techniques in the implementation of distributed knowledge-based systems.
3. Critically assess the adequacy of relevant standards (WSDL, RDF, OWL, etc) as a basis for building practical systems.
4. Demonstrate an understanding of how the architecture and design of distributed knowledge-based systems interacts with wider social and technological developments.
5. Critically evaluate research literature in a topic area covered in the course.