Knowledge Engineering

Course guarantor:

Lecturer:

Tutor:

Supervisor:

Department of Mechanics, Biomechanics and Mechatronics

Synopsis:

The student will be acquainted with the methods of storage and reuse of knowledge by means of artificial intelligence, especially knowledge support of engineering design.

Data, information and knowledge.

Formal and informal knowledge.

Types of knowledge systems.

Formal logic, proving theorems, resolution method, Prolog.

Knowledge representation and reasoning.

Uncertainty of knowledge.

Expert systems

Life cycles and methodology of knowledge, KADS model.

Ontology.

Types of engineering design.

Model of configuration and parametric design.

Model of transformation worlds.

Requirements:

Syllabus of lectures:

Syllabus of tutorials:

Study Objective:

Study materials:

Kevin Warwick: Artificial Intelligence: The Basics, Springer 2011

Stuart Russell, Peter Norvig: Artificial Intelligence: A Modern Approach, Springer 2009

Simon Kendal, Malcolm Creen: An Introduction to Knowledge Engineering, Springer 2007

Zdráhal, Z.; Mulholland, P.; Valášek, M.; Bernardi, A.: Worlds and Transformations: Supporting the Sharing and Reuse of Engineering Design Knowledge, International Journal of Human-Computer Studies. 2007, 65(12), pp. 959-982.

odkaz: https://moodle-vyuka.cvut.cz/

Note:

Further information:

No time-table has been prepared for this course

The course is a part of the following study plans: