Artificial Intelligence

Garant předmětu:

Lecturer:

Tutor:

Supervisor:

Department of Cybernetics

Synopsis:

Basic terminological issues. Knowledge representation: production systems,

predicate logics, semantic nets, frames, and scenarios. Problem solving,

state space search. Admissibility and informedness of the search algorithms.

Expert systems for diagnostics and planning tasks. Uncertainty processing.

Hajek's algebraic theory. Creation of knowledge bases. Knowledge

acquisition, induction from examples. Distributed expert systems with the

blackboard architecture, multi-agent systems. Backgrounds of pattern

recognition.

Requirements:

Syllabus of lectures:

Syllabus of tutorials:

Study Objective:

Study materials:

Marik, Stepankova, Lazansky: Umela inteligence 1, Academia, Praha 1993

Marik, Stepankova, Lazansky: Umela inteligence 2, Academia, Praha 1997

Marik, Stepankova, Lazansky: Umela inteligence 3, Academia, Praha 2001

Marik, Stepankova, Lazansky: Umela inteligence 4, Academia, Praha 2003

Note:

Further information:

No time-table has been prepared for this course

The course is a part of the following study plans:

• Doctoral studies, daily studies (compulsory elective course)
• Doctoral studies, combined studies (compulsory elective course)
• Doctoral studies, structured daily studies (compulsory elective course)
• Doctoral studies, structured combined studies (compulsory elective course)