Artificial Intelligence

Course Code:
14Y2UI
Academic Degree:
master
Study Programme:
Technology in Transportation and Telecommunications (N 3710)
semesterlanguagestudy field / specialization
3czechall study fields
Form of Study:
full-time
Credits:
2
Number of Hours:
2 + 0 hours per week - in full-time study
Type of Course:
elective
Course Completion:
classified credit
Course Tutor:
 
roh  Lectures:
doc. Dr. Ing. Tomáš Brandejský
Supervising Department:
Department of Applied Informatics in Transportation (16114)
Keywords:
artificial Intelligence, game theory, unified state space, search, predicate logic, prolog
Abstract:
History of artificial intelligence, knowledge, its representation including frames, state space search, constraints, genetic algorithms, machine learning.
Objectives:
Learning about history of artificial intelligence and its subject. Course is focused to so-called good old fashion artificial intelligence based on manipulation with symbols which tend to origin of expert systems and qualitative simulation. There are mentioned modern approaches based on semantics too.