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Last update: prof. RNDr. Roman Barták, Ph.D. (10.05.2011)
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Last update: BARTAK/MFF.CUNI.CZ (31.03.2008)
The course gives an introduction to fundamental concepts and techniques of Artificial Intelligence. The students will learn several search techniques for problem solving, including informed search such as A* algorithm, methods of logical representation of knowledge, inference techniques, constraint satisfaction, and planning techniques. |
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Last update: prof. RNDr. Roman Barták, Ph.D. (06.10.2017)
S. Russell, P. Norvig: Artificial Intelligence; A Modern Approach, 2003 V. Mařík, O. Štepánková, J. Lažanský a kol.: Umělá Inteligence (1). Academia, Praha V. Mařík, O. Štepánková, J. Lažanský a kol.: Umělá Inteligence (2). Academia, Praha Z. Renc: Vybrané partie z umělé inteligence. Skriptum MFF UK Praha, 1987 |
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Last update: prof. RNDr. Roman Barták, Ph.D. (06.10.2017)
lecture |
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Last update: BARTAK/MFF.CUNI.CZ (18.02.2008)
Intelligent agents, environment, and structure of agents.
Problem solving by search (DFS, BFS, ID, A*, IDA*, local and on-line search, heuristics).
Constraint satisfaction.
Games (minimax, alfa-beta pruning).
Knowledge representation and inference techniques (forward and backward chaining, resolution).
Automated planning. |