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Strategic Game in Multi-Agent System Jason
Vais, Roman ; Zbořil, František (referee) ; Král, Jiří (advisor)
This thesis describes artificial inteligence used in developement of computer games, particularly discusses with theory behing artificial inteligence used in real-time strategy games. It deals with implementation of extensions for one such a game. It analyzes posibylities of use multi-agent systems architecture for purposess of artificial inteligence in games. It describes concept of swarm inteligence as suitable but not used tool for developing not only videogame artificial inteligence. Moreover it attempts to find suitable representation of sensation for software agents and shows the difficulties of this task.
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Multi-Agent Strategy Game over Ants
Šimetka, Vojtěch ; Zbořil, František (referee) ; Král, Jiří (advisor)
This thesis describes challenges in design and development of a multi-agent real-time strategy game. It discusses necessary theoretical background and its consequences for the game design. The resulting game implements, apart from features and game control which can be found in nowadays RTS games, three different levels of artificial intelligence in which each unit is an agent. Moreover, there is a unique cooperation mode, where units can be controlled by user and artificial intelligence at the same time. In addition, the game is designed in such way that it can be easily extended with new artificial intelligences, therefore, used for teaching agent systems. A number of experiments was performed in order to evaluate both game design and capabilities of artificial intelligence.
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Multi-Agent Strategy Game over Ants
Šimetka, Vojtěch ; Zbořil, František (referee) ; Král, Jiří (advisor)
This thesis describes challenges in design and development of a multi-agent real-time strategy game. It discusses necessary theoretical background and its consequences for the game design. The resulting game implements, apart from features and game control which can be found in nowadays RTS games, three different levels of artificial intelligence in which each unit is an agent. Moreover, there is a unique cooperation mode, where units can be controlled by user and artificial intelligence at the same time. In addition, the game is designed in such way that it can be easily extended with new artificial intelligences, therefore, used for teaching agent systems. A number of experiments was performed in order to evaluate both game design and capabilities of artificial intelligence.
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|
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Strategic Game in Multi-Agent System Jason
Vais, Roman ; Zbořil, František (referee) ; Král, Jiří (advisor)
This thesis describes artificial inteligence used in developement of computer games, particularly discusses with theory behing artificial inteligence used in real-time strategy games. It deals with implementation of extensions for one such a game. It analyzes posibylities of use multi-agent systems architecture for purposess of artificial inteligence in games. It describes concept of swarm inteligence as suitable but not used tool for developing not only videogame artificial inteligence. Moreover it attempts to find suitable representation of sensation for software agents and shows the difficulties of this task.
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