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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2011/2012

Introduction to Artificial Intelligence

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Code Completion Credits Range Language
A4B33ZUI Z,ZK 6 2+2c Czech
Lecturer:
Michal Pěchouček (gar.), Jiří Kléma, Olga Štěpánková
Tutor:
Michal Pěchouček (gar.), Branislav Bošanský, Jiří Kléma, Olga Štěpánková, Demlová Uznáno, Ondřej Vaněk
Supervisor:
Department of Cybernetics
Synopsis:

This course provides introduction to symbolic artificial intelligence. It presents the algorithms for informed and non-informed state space search, nontraditional methods of problem solving, knowledge representation by means of formal logic, methods of automated reasoning and introduction to markovian decision making.

Requirements:

Topics contained in course A0B01LGR.

Syllabus of lectures:

1. Introduction to artificial intelligence.

2. Problem solving using state space search.

3. Non-informed state space search.

4. Informed state space search - A* algorithm.

5. Nontraditional state space search methods.

6. Knowledge representation and rule-based systems reasoning.

7. Introduction to two-player games.

8. Logics and knowledge representation.

9. Reasoning in first-order predicate logic, situation calculus.

10. Introduction to uncertainty in knowledge representation. Markov models.

11. Markov chains and decision processes.

12. Modal logic - definitions and applications.

13. Temporal logic - definitions and applications.

14. Back-up class.

Syllabus of tutorials:

1. Non-informed state space search.

2. Informed state space search.

3. A* algorithm.

4. Constraint satisfaction problem.

5. Two-player games.

6. Two-player games.

7. Genetic algorithms and neural networks.

8. Review of mathematical logic, resolution principle.

9. Automated theorem provers.

10. Markov chains and decision processes.

11. Markov Decision Process toolbox.

12. Modal logic - examples.

13. Temporal logic - examples.

14. Back-up class, credits.

Study Objective:

This course provides an overview of the key issues of symbolic artificial intelligence.

Study materials:

Stuart Russell and Peter Norvig: Artificial Intelligence: A Modern Approach,

Prentice Hall, Second Edition, 2003.

Note:
Time-table for winter semester 2011/2012:
Time-table is not available yet
Time-table for summer semester 2011/2012:
06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Mon
roomKN:E-230
Bošanský B.
Kléma J.

09:15–10:45
(lecture parallel1
parallel nr.101)

Karlovo nám.
Černobyl K230
roomKN:E-230
Vaněk O.
Štěpánková O.

12:45–14:15
(lecture parallel1
parallel nr.102)

Karlovo nám.
Černobyl K230
Tue
roomKN:E-107
Pěchouček M.
Štěpánková O.

14:30–16:00
(lecture parallel1)
Karlovo nám.
Zengerova posluchárna K1
Fri
Thu
Fri
The course is a part of the following study plans:
Generated on 2012-7-9
For updated information see http://bilakniha.cvut.cz/en/predmet12582904.html