Cybernetics and Artificial Intelligence

Přednášející:

Vladimír Mařík (gar.), Radek Mařík, Daniel Novák, Milan Rollo

Cvičící:

Daniel Novák, Radek Píbil, Milan Rollo, Pavel Vostatek

Předmět zajišťuje:

katedra kybernetiky

Anotace:

The course will enable students to understand the basic concepts, goals and methods of cybernetics and artificial intelligence, and align some individual topics studied in the bachelor stage into the more profound context of the study program. The syllabus contains topics concerned with general aspects of systems and information theory, problem solving and state space search principles, elements of game theory, knowledge and expert systems, elements of decision theory, recognition and machine learning. The most important feature of the course is its unifying conceptual approach to many, at first sight diverse, components of cybernetics and aritifical intelligence.

Požadavky:

https://cw.felk.cvut.cz/doku.php/courses/a3b33kui/start

Osnova přednášek:

Introduction to cybernetics, systems and models

Elements of general systems theory

Information, entropy, information transmission, coding - a cybernetic view

Algorithmic entropy, decidability

Problem solving, the resolution principle

Search algorithms, stochastic search

Game theory, two-player games

Knowledge representation, semantic networks, production systems, frames and scenarios

Expert systems, their architecture, uncertain information processing models

Decision and classification principles, Bayesian decision making, attributes, attribute space, recognition, cluster analysis

Structural recognition, relations to machine perception and image/scene analysis

Neural networks and their training, genetic and evolutionary algorithms

Machine learning

Applications (if timetable allows)

Osnova cvičení:

1. - 2. Cybernetic systems lab showcase

2. - 4. Seminar: Probability and entropy

3. - 4. Computer lab: System models

5. - 6. Seminar: Information transmission

5. - 6. Computer lab: Compression algorithms

6. - 10. Seminar: Search

7. - 10. Computer lab: Search

8. - 12. Seminar: Decision making, classification, recognition

9. - 12. Computer lab: Expert systems

10. - 13. Seminar with computer simulation: Evolutionary algorithms, neural networks

11. - 14. Machine learning, class credits

Cíle studia:

The course will enable students to understand the basic

concepts, goals and methods of cybernetics and artificial

intelligence, and align some individual topics studied in

the bachelor stage into the more profound context of the

study program.

Studijní materiály:

Nilsson, N. N.: Artificial Intelligence: A New Synthesis. Morgan Kaufmann Publ. San Francisco, 1998

Poznámka:

Rozsah výuky v kombinované formě studia: 14p+6c

Rozvrh na zimní semestr 2011/2012:

Rozvrh není připraven

Rozvrh na letní semestr 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
Po
Út	místnost KN:E-132 Píbil R. Vostatek P. 09:15–10:45 (přednášková par. 1 paralelka 101) Karlovo nám. Laboratoř PC
St	místnost KN:E-112 Novák D. Rollo M. 11:45–13:30 (přednášková par. 1) Karlovo nám. Cvičebna K333
Čt
Pá

Předmět je součástí následujících studijních plánů:

• Cybernetics and Robotics - Robotics (povinný předmět programu)
• Cybernetics and Robotics - Senzors and Instrumention (povinný předmět programu)
• Cybernetics and Robotics - Systems and Control (povinný předmět programu)
• Cybernetics and Robotics (povinný předmět programu)