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Chess Program for Various Chess Variations
Jadrníček, Zbyněk ; Křena, Bohuslav (referee) ; Rozman, Jaroslav (advisor)
This thesis describes process of creating chess program allowing human play against computer. First part explains chess rules, next parts are about artificial intelligence. Thesis deals with nontraditional chess variants and also with changes, which were made in implementation in comparasion with classical game. It compares usual chessboard representations in computer, methods of playing games and techniques of evaluation chessboard state. The aim was to achieve high artificial intelligence by using of effective algorithms.
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Word Sense Clustering
Jadrníček, Zbyněk ; Otrusina, Lubomír (referee) ; Smrž, Pavel (advisor)
This thesis is focused on the problem of semantic similarity of words in English language. At first reader is informed about theory of word sense clustering, then there are described chosen methods and tools related to the topic. In the practical part we design and implement system for determining semantic similarity using Word2Vec tool, particularly we focus on biomedical texts of MEDLINE database. At the end of the thesis we discuss reached results and give some ideas to improve the system.
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Chess Program for Various Chess Variations
Jadrníček, Zbyněk ; Křena, Bohuslav (referee) ; Rozman, Jaroslav (advisor)
This thesis describes process of creating chess program allowing human play against computer. First part explains chess rules, next parts are about artificial intelligence. Thesis deals with nontraditional chess variants and also with changes, which were made in implementation in comparasion with classical game. It compares usual chessboard representations in computer, methods of playing games and techniques of evaluation chessboard state. The aim was to achieve high artificial intelligence by using of effective algorithms.
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Word Sense Clustering
Jadrníček, Zbyněk ; Otrusina, Lubomír (referee) ; Smrž, Pavel (advisor)
This thesis is focused on the problem of semantic similarity of words in English language. At first reader is informed about theory of word sense clustering, then there are described chosen methods and tools related to the topic. In the practical part we design and implement system for determining semantic similarity using Word2Vec tool, particularly we focus on biomedical texts of MEDLINE database. At the end of the thesis we discuss reached results and give some ideas to improve the system.
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