Module Identifier | CS16010 | |||||||||||
Module Title | AN INTRODUCTION TO ARTIFICIAL INTELLIGENCE | |||||||||||
Academic Year | 2003/2004 | |||||||||||
Co-ordinator | Dr Mark B Ratcliffe | |||||||||||
Semester | Semester 2 | |||||||||||
Other staff | Professor Mark H Lee, Dr Myra S Wilson | |||||||||||
Course delivery | Lecture | 20 lectures | ||||||||||
Practical | 3 x 2 hr | |||||||||||
Assessment |
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Further details | http://www.aber.ac.uk/compsci/ModuleInfo/CS16010 |
2. Intelligent Agents - 2 Lectures
How can we build an intelligent robot? Sensing, Action and Cognition.
The symbolic approach and alternatives. Computers and Brains.
3. Machine Vision - 3 Lectures
How can robots see? The nature of the vision task.
Computer vision and image processing.
4. Search - How can computers find solutions? 5 lectures
Why do we need search? Evaluation of search strategies.
Un-informed search techniques. Informed search techniques.
5. Machine Learning - How can a computer program learn? 3 lectures
Game playing. Genetic algorithms. Decision tree learning.
6. Knowledge - 2 lectures
How can robots think? Knowledge representation methods.
Reasoning and inference.
7. Expert Systems - 2 Lectures
How can human expertise be automated? Example applications and commercial
successes.
How to build a rule-based expert system, - operation and worked examples.
8. Artificial Brains - 2 Lectures
How can robot brains be built? Artificial neural nets, pattern recognition
and learning.
This module is at CQFW Level 4