Knowledge-Based and Expert Systems for Practicale Purposes

Lecturer:

Tutor:

Supervisor:

Department of Cybernetics

Synopsis:

The aim of the subject is to make students familiar with basic characteristics, principals and applications of expert and knowledge-based systems. The crucial part of the subject lays in gaining practical experience in design of expert systems for any area of applicability.

At the same time, task types suitable for expert systems to be applied are specified, tools supporting knowledge-based systems design are characterized and advanced trends for the development of the objective area are sketched.

Requirements:

Syllabus of lectures:

1. Data, knowledge and their representation

2. State space and search techniques

3. Basic characteristics of Rule-Based Systems

4. General architecture of the Expert System (ES)

5. Uncertain knowledge processing, practical consequences of Algebraic Theory

6. Diagnostic task, Diagnostic ES, application examples

7. Distributed knowledge, the architecture of Table, Agenda

8. Planning tasks and Planning ES, application examples

9. Monitoring ES, application examples

10. Knowledge acquisition - bases of Knowledge Engineering

11. Inductive methods of knowledge acquisition, Machine Learning

12. Explanative sub-systems and communication in natural language

13. Methodology of practical ES design I

14. Methodology of practical ES design II

Syllabus of tutorials:

1. Elements of data modeling

2. Semantic networks, comparison with formal methods of system analysis

3. Data x knowledge - deductive databases

4. Uncertain knowledge - Bayesian approach

5. Uncertain knowledge - intensional approach

6. Elements of multivariate data analysis

7. Selected algorithms of machine learning for KDD

8. Distributed information systems

9. Distributed knowledge-based systems

10. Active databases and their application in monitoring

11. Design of a simple ES

12. Design of a simple ES

13. Design of a simple ES

14. Concluding seminar

Study Objective:

Study materials:

[1] Rich, A., Knihgt, K.: Artificial Intelligence. McGraw-Hill, Inc., USA, 1991

Note:

Further information:

No time-table has been prepared for this course

The course is a part of the following study plans: