|
|
Simulační strategie včelstev
Klimecká, Alena ; Polášek, Tomáš (referee) ; Milet, Tomáš (advisor)
The aim of this bachelor thesis is to design, implement, and test a game inspired by the life of bees. The design is based on researched data regarding bee biology and reviews of existing games on this topic. The game was developed using the Unity engine and coded in C\#. It features a tutorial campaign as well as the main gameplay, incorporating mechanics such as unit movement, combat with enemies, building of structures, world generation and exploration. The result is a 2D strategy game that not only offers a gaming experience but also educates players about the life of bees.
|
|
|
Strategic Game Based on Multiagent Systems
Knapek, Petr ; Kočí, Radek (referee) ; Zbořil, František (advisor)
This thesis is focused on designing and implementing system, that adds learning and planning capabilities to agents designed for playing real-time strategy games like StarCraft. It will explain problems of controlling game entities and bots by computer and introduce some often used solutions. Based on analysis, a new system has been designed and implemented. It uses multi-agent systems to control the game, utilizes machine learning methods and is capable of overcoming oponents and adapting to new challenges.
|
|
|
Improving Bots Playing Starcraft II Game in PySC2 Environment
Krušina, Jan ; Škoda, Petr (referee) ; Smrž, Pavel (advisor)
The aim of this thesis is to create an automated system for playing a real-time strategy game Starcraft II. Learning from replays via supervised learning and reinforcement learning techniques are used for improving bot's behavior. The proposed system should be capable of playing the whole game utilizing PySC2 framework for machine learning. Performance of the bot is evaluated against the built-in scripted AI in the game.
|
|
|
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.
|
|
|
Application Development for Xbox 360
Kajan, Rudolf ; Plchot, Oldřich (referee) ; Herout, Adam (advisor)
This thesis deals with game development on the Xbox 360 platform and implementation of a starter kit for this platform. After introduction of the Xbox 360 as a modern and very powerful gaming console, the XNA technology that makes development of games for console possible for the first time in history not only for professionals but also for amateurs, is introduced. The next part mentions existing starter kits for 3D XNA games, existing tools widely used to analyze implemented solution with focus on performance and tools commonly used for game content creation. The main part of thesis is dedicated to design, implementation and testing of a real time strategy starter kit prototype, with emphasis on efficiency, understandability and usability by XNA community members in mind.
|
|
|
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.
|
|
|
Artificial Intelligence in Strategic Computer Games
Votroubek, Lukáš ; Přibyl, Bronislav (referee) ; Zuzaňák, Jiří (advisor)
This work covers with artificial intelligence of strategy computer games, however many of these methods are usable in other areas. These are different methods used in deciding (finite state machina, fuzzy logic, Markov Process), planning (Goal-oriented action planning, Montecarlo planning, Case-based planning) and machine learning ( Reinforcement leasing, Decision Learning and Neural Networks). Objective of this thesis is to study this methods from different sources and explain their base principle. Then few of this methods resolve in more details and implement them (goal oriented planning and state machine). This thesis focuses on game engine ORTS, which is used in implementing and testing methods.
|
|
|
User Interface for Web-Based Games
Hlaváč, Martin ; Beran, Vítězslav (referee) ; Hradiš, Michal (advisor)
This thesis describes challenges in designing, developing and testing web user interfaces. It discusses human-computer interaction, communication channels and user interface analogy to the real world. User interfaces can be designed to be optimal for a specific action or to suite the user. A design of interfaces focused on users utilize methods, such as gamification and improving user experience, which can improve interface usability. User interface development is demonstrated on web page development. Further, the thesis describes 3 web user interface testing methods. The methods are demonstrated by designing, developing, and testing user interface of a web strategy game.
|
|
|
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.
|
|
|
Reinforcement Learning for Starcraft Game Playing
Chábek, Lukáš ; Fajčík, Martin (referee) ; Smrž, Pavel (advisor)
This work focuses on methods of machine learning for playing real-time strategy games. The thesis applies mainly methods of Q-learning based on reinforcement learning. The practical part of this work is implementing an agent for playing Starcraft II. Mine solution is based on 4 simple networks, that are colaborating together. Each of the network also teaches itself how to process all given actions optimally. Analysis of the system is based on experiments and statistics from played games.
|
guest ::
