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ČESKÉ VYSOKÉ UČENÍ TECHNICKÉ V PRAZE
STUDIJNÍ PLÁNY
2018/2019

Artificial Intelligence Fundamentals

Přihlášení do KOSu pro zápis předmětu Zobrazit rozvrh
Kód Zakončení Kredity Rozsah Jazyk výuky
BIE-ZUM Z,ZK 4 2P+2C česky
Přednášející:
Pavel Surynek (gar.)
Cvičící:
Pavel Surynek (gar.)
Předmět zajišťuje:
katedra aplikované matematiky
Anotace:

Students are introduced to the fundamental problems in the Artificial Intelligence, and the basic methods for their solving. It focuses mainly on the classical tasks from the areas of state space search, multi-agent systems, game theory, planning, and machine learning. Modern soft-computing methods, including the evolutionary algorithms and the neural networks, will be presented as well.

Požadavky:
Osnova přednášek:

1. Introduction to Artiffcial Intelligence and its history. Turing test, rational behavior and reasoning.

2. The state space and the heuristic methods for state space exploration.

3. Advanced state space search methods: Hill climbing, Simulated annealing, tabu search, population-based methods.

4. Evolutionary computation techniques. Genetic algorithm, operators of initialization, crossover, mutation, and reproduction.

5. Genetic programming, evolution of tree structures. Crossover and mutation of subtrees.

6. Constraint satisfaction problems and the heuristics for their solving.

7. Automated planning. Planning state space search, plans, and actions. Relaxation and abstraction in planning.

8. Multi-agent system and their architectures. Relations between the world and the agents, agent types, utility functions.

9. Game theory. Games in the normal form, game analysis. Pareto-optimality, Nash equilibrium.

10. Game in the extensive form, methods for searching the game tree. Minimax algorithm, alpha-beta pruning.

11. Introduction to Machine learning and Data mining. Supervised and unsupervised learning. Classification, regression, and cluster analysis.

12. Artificial neural networks. Perceptron networks, activation function, backpropagation algorithm, self-organizing networks.

13. Other computational intelligence methods, modern trends.

Osnova cvičení:

1. Interactive tools for artificial intelligence

2. AI problem set 1

3. AI problem set 2

4. Programming assignment 1

5. Consulting assignment 1

6. AI problem set 3

7. AI problem set 4

8. Programming assignment 2

9. Consulting assignment 2

10. AI problem set 5

11. Programming assignment 3

12. Consulting assignment 3

13. Reserved, credit

Cíle studia:

The course aims to offer students a survey to the areas of Artificial Intelligence. Its main objective is to present a comprehensive overview of AI problems, rather than examining individual methods in detail.

Studijní materiály:

S. Russell, P. Norvig: „Artificial Intelligence: A Modern Approach (Third Edition)“. ISBN: 978-0136042594. Prentice Hall, 2009.

Poznámka:
Rozvrh na zimní semestr 2018/2019:
Rozvrh není připraven
Rozvrh na letní semestr 2018/2019:
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 T9:301
Surynek P.
14:30–16:00
(přednášková par. 1)
Dejvice
NBFIT učebna
místnost T9:348
Surynek P.
16:15–17:45
(přednášková par. 1
paralelka 101)

Dejvice
NBFIT PC ucebna
St
Čt

Předmět je součástí následujících studijních plánů:
Platnost dat k 15. 7. 2019
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