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Artificial Intelligence for modern card games
Vejmola, Jiří ; Sýkora, Ondřej (advisor) ; Gemrot, Jakub (referee)
In this work we study the ways of implementing arti cial intelligence for modern card games. We strive to create various players, to put them into matches against each other. By doing so we can verify the efficiency of employed methods, such as simulation, random approach, opponent modeling, xed strategy, etc. We would also like to nd out what influence do other game elements have on the progress of the game and the performance of individual players. The game used in the thesis is based on Magic: The Gathering's rules for two players, speci cally on Magic 2010 Core Set, which revised certain parts of the game. These rules are then modi ed or simpli ed when necessary for implementing game mechanics on a computer. Decks of cards used in testing are based on the existing ones.
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Disruption of movement or cohesion of groups through individuals
Vejmola, Jiří ; Neruda, Roman (advisor) ; Děchtěrenko, Filip (referee)
Title: Disruption of movement or cohesion of groups through individuals Author: Jiří Vejmola Department: Department of Theoretical Computer Science and Mathematical Logic Supervisor of the master thesis: Mgr. Roman Neruda, CSc., Institute of Computer Science of the ASCR, v. v. i. Abstract: Just a few of informed and like-minded individuals, guides, are needed to lead otherwise naive group. We look at some of the possible changes that can be caused by the presence of another informed individual with different intentions, an intruder. It is implied that he cannot cause anything significant under normal circumstances. To counter that and to increase his chances of success we intruduce a new parameter - credibility. We explore how it changes the overall behaviour. We show that by applying it to the intruder his influence over others increases. This in turn makes naive individuals more willing to follow him. We show that if the right conditions are met he can eventually become the one who leads the group. Keywords: multi-agent system, swarm intelligence, emergence, credibility
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Artificial Intelligence for modern card games
Vejmola, Jiří ; Sýkora, Ondřej (advisor) ; Gemrot, Jakub (referee)
In this work we study the ways of implementing arti cial intelligence for modern card games. We strive to create various players, to put them into matches against each other. By doing so we can verify the efficiency of employed methods, such as simulation, random approach, opponent modeling, xed strategy, etc. We would also like to nd out what influence do other game elements have on the progress of the game and the performance of individual players. The game used in the thesis is based on Magic: The Gathering's rules for two players, speci cally on Magic 2010 Core Set, which revised certain parts of the game. These rules are then modi ed or simpli ed when necessary for implementing game mechanics on a computer. Decks of cards used in testing are based on the existing ones.
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