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Artificial Intelligence 1

Class at Faculty of Mathematics and Physics |
NAIL069

Syllabus

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.

Annotation

An introductory course on artificial intelligence with the focus on basic concepts and methods. The cources requires knowledge of logic at the level of undergraduate course.