Module Identifier CS26210  
Module Title ARTIFICIAL INTELLIGENCE CONCEPTS  
Academic Year 2001/2002  
Co-ordinator Dr Mark Ratcliffe  
Semester Semester 1  
Other staff Dr George Coghill  
Pre-Requisite CS16010 or CS14020  
Course delivery Lecture   17 lectures  
  Practical   Up to 10 x 2hr  
Assessment Supplementary examination   Will take the same form, under the terms of the Department's policy.    
  Exam   2 Hours   100%  
Further details http://www.aber.ac.uk/compsci/ModuleInfo/CS26210  

Aims


Artificial Intelligence is the study of computer systems which can perform the sort of tasks that are usually associated with human intelligence. Examples are: chess playing, pattern recognition, speech understanding and problem solving. The aim of this module is to introduce the main ideas and current problems in Artificial Intelligence including the key concepts of knowledge representation, reasoning and expert systems. Students will be required to implement and utilise these concepts by means of an Artificial Intelligence programming language.

General description


Artificial Intelligence (AI) has made many important contributions to computer science in general, and most experts believe AI techniques will become increasingly important. This module builds on the introduction to the fundamental concepts of AI given in CS16010 . Key issues including knowledge representation, reasoning and expert systems are addressed both theoretically and practically.

Learning outcomes


On successful completion of this module students will be able to:

Syllabus


1. Introduction - 1 Lecture
Revision of AI material covered in CS16010.


2. Introduction to Lisp - 2 Lectures


3. Advanced Search - 4 Lectures
Examination of the more advanced aspects of search in knowledge based systems. Game Playing.


4. Knowledge Representation and Inference - 4 Lectures
Propositional Logic and First Order Predicate Logic.


5. Uncertainty - 3 Lectures
Probabilistic Reasoning, Fuzzy Logic.


6. Expert Systems - 2 Lectures
Limitations of first generation systems. Characterising second generation expert systems.


7. Summary - 1 Lecture
Review and analysis of AI.


8. Lisp - up to 10 Practicals
Workshops on programming in and using Lisp.

Reading Lists

Books
** Should Be Purchased
S.J. Russell and P. Norvig. (1995) AI: A Modern Approach. Prentice-Hall 0131038052
** Recommended Text
P. Winston and B. Horn. (1988) LISP, Third Edition. Addison-Wesley 0201083191
Alison Cawsey. (1998) The Essence of Artificial Intelligence. Essence of Computing Series. Prentice-Hall ISBN 0135717795
** Consult For Futher Information
C. J. Hogger. (1990) Essentials of Logic Programming. Oxford University Press ISBN 0-19-853832-4
G. F. Luger and B. Stubblefield. (1997) Artificial Intelligence. 3rd Ed.. Addison-Wesley ISBN 0805311963
P. Winston. Artificial Intelligence. 3rd Ed.. Addison-Wesley 0-201-83377-4
S. C. Shapiro. (1992) Encyclopedia of Artificial Intelligence. Addison-Wesley 0471503007X