Module Code
SPEC9120

Module Type
Core

ECTS Points
5

Duration
1 Semester

Contact Hours

3 hours per week

Knowledge representation and reasoning is the study of how knowledge about the world can be represented and what kinds of reasoning can be done with that knowledge. Many of the broad topics within knowledge management (such as knowledge engineering, data acquisition, data mining, human-computer interaction, and others) rely on representations of knowledge and reasoning techniques to be applied. The quality and design of representation and reasoning approaches can determine if a particular endeavour will succeed and to what degree.

This module will give students a solid background in the subject. It will also allow them to implement and explore some of the fundamental techniques in the area.

Beyond the introductory and motivating material the module divides into the following three sections:

1. Knowledge Representation

2. Search Algorithms

3. Problem Solving Techniques

The module is strongly practically oriented – requiring the student to develop working systems. There is also, however, a strong theoretical component to the module.

Karray & De Silva, 2004, Soft Computing and Intelligent Systems Design, Addison Wesley.

 Luger, 2005, Artificial Intelligence: Structures and Strategies for Complex Problem Solving 5^th Edition, Addison Wesley.

Negnevitsky, 2005, Artificial Intelligence : A guide to intelligent systems development, Addison Wesley.

Russell & Norvig, 2003, Artificial Intelligence, Prentice Hall

Journals

Conferences

• International Conference on Artificial Intelligence and Soft Computing (ICAISC), published in Lecture Notes in Artificial Intelligence, Springer-Verlag

• IEEE International Conference on Intelligent Systems (ICIS), Proceedings published by IEEE

• International Conference on Computational Intelligence (ICCI)

• Irish Artificial Intelligence and Cognitive Science (AICS)

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Web Resources

The Knowledge Portal - http://www.knowledge-portal.com/