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Complex Scene Rendering on Mobile Devices
Matýšek, Michal ; Polok, Lukáš (referee) ; Kajan, Rudolf (advisor)
This thesis presents optimization techniques for efficient rendering of complex scenes on mobile devices. The introductory part of the text describes Unity game engine and the topic of mobile game development using this tool. Then follows a presentation of important optimization principles and methods for terrain rendering, large scale rendering of animated objects, rendering of animated water surfaces and of other elements in the scenes. The described methods include both general principles of optimization and specific optimization approaches based on the features of Unity game engine. The implementation of presented methods is described and used in practice in the context of mobile strategy game development.
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Real-time strategy game with artificial intelligence
Fanta, Petr ; Balyo, Tomáš (advisor) ; Dvořák, Filip (referee)
The aim of this thesis is to create a real-time strategy game with artificial intelligence in 3D environment. The thesis includes theoretical analysis of combat real-time strategy games, methods for implementing artificial intelligence in this kind of games, and the basic knowledge of 3D environment implementation. A simple 3D real-time strategy game with artificial intelligence has been implemented as a part of this this thesis.
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Artificial intelligence for real-time strategic games
Sýkora, Ondřej
Title: Artificial intelligence for real-time strategic games Author: Ondřej Sýkora Department: Department of Theoretical Computer Science and Mathematical Logic Supervisor: Mgr. Cyril Brom Supervisor's e-mail address: brom@ksvi.mff.cuni.cz Abstract: Among the computer game players, real-time strategy games (RTS) are one of the most popular genres. Despite of this fact, there is a very low number of publicati- ons concerning this genre. In this thesis we study the problem of an action selection in the real-time strategy games using methods based on Markov decision processes. In the first chapters we introduce the genre of real-time strategy games from the game designer's perspective as well as from the view of an artificial intelligence researcher. We give an introduction to the Markov decision processes and to methods designed to solve them. We propose a solution of the problem of an action selection based on Markov decision problem solving using a discrete-event simulation of the real-time strategy game. We test the clarity of the proposed method and its properties. Keywords: real-time strategy game, Markov decision process, Expected Outcome, bandit- based planning, discrete-event-simulation 6
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Real-time strategy game with artificial intelligence
Fanta, Petr ; Balyo, Tomáš (advisor) ; Dvořák, Filip (referee)
The aim of this thesis is to create a real-time strategy game with artificial intelligence in 3D environment. The thesis includes theoretical analysis of combat real-time strategy games, methods for implementing artificial intelligence in this kind of games, and the basic knowledge of 3D environment implementation. A simple 3D real-time strategy game with artificial intelligence has been implemented as a part of this this thesis.
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Artificial intelligence for real-time strategic games
Sýkora, Ondřej
Title: Artificial intelligence for real-time strategic games Author: Ondřej Sýkora Department: Department of Theoretical Computer Science and Mathematical Logic Supervisor: Mgr. Cyril Brom Supervisor's e-mail address: brom@ksvi.mff.cuni.cz Abstract: Among the computer game players, real-time strategy games (RTS) are one of the most popular genres. Despite of this fact, there is a very low number of publicati- ons concerning this genre. In this thesis we study the problem of an action selection in the real-time strategy games using methods based on Markov decision processes. In the first chapters we introduce the genre of real-time strategy games from the game designer's perspective as well as from the view of an artificial intelligence researcher. We give an introduction to the Markov decision processes and to methods designed to solve them. We propose a solution of the problem of an action selection based on Markov decision problem solving using a discrete-event simulation of the real-time strategy game. We test the clarity of the proposed method and its properties. Keywords: real-time strategy game, Markov decision process, Expected Outcome, bandit- based planning, discrete-event-simulation 6
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Complex Scene Rendering on Mobile Devices
Matýšek, Michal ; Polok, Lukáš (referee) ; Kajan, Rudolf (advisor)
This thesis presents optimization techniques for efficient rendering of complex scenes on mobile devices. The introductory part of the text describes Unity game engine and the topic of mobile game development using this tool. Then follows a presentation of important optimization principles and methods for terrain rendering, large scale rendering of animated objects, rendering of animated water surfaces and of other elements in the scenes. The described methods include both general principles of optimization and specific optimization approaches based on the features of Unity game engine. The implementation of presented methods is described and used in practice in the context of mobile strategy game development.
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