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Intelligent Control of Traffic Lights
Skoták, Miloš ; Samek, Jan (referee) ; Malačka, Ondřej (advisor)
In this thesis is analyzed Multi-Agent system for intelligent control of traffic lights. For the simulation of a real situation was implemented a simulator of a traffic situation written in Java language, which is based on a cellular automata. In Multi-Agent system can be found not only communication between the agent and environment, but also communication among agents. To implement the rules was used extended AgentSpeak language model based on BSD with Jason interpreter. Experiments were done on a real road section in the city Brno.
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Graphic Development Environment of Agent Low Level Language
Kürti, Szabolcs ; Zbořil, František (referee) ; Horáček, Jan (advisor)
The aim of this work is to design and implement a graphic development environment of agent language ALLL. Language ALLL going to be described in details, such as the ANTLR framework for generating language recognition tools. Theoretical basis of multi-agent systems, together with the features of the selected platform, will be discussed as well. Description of the implementation is followed by the presentation of testing. Closure deals with the discussion of the achieved results.
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Cooperative Game in Multi-Agent System Jason
Husa, Jakub ; Rozman, Jaroslav (referee) ; Král, Jiří (advisor)
The subject of this thesis is creation of a game based on a multi-agent system. First part of the thesis introduces theory of multi-agent systems, strategic computer games, language AgentSpeak and his extension Jason which were used for implementation. Then design of turn-based strategic game Prison Escape is described, which pitches two asymmetrical teams of intelligent agents with different goals against each other. Each team has three modes of intelligent behavior designed for them, which differ by their complexity and extent of inter-agent cooperation. One team can be controlled by a player, or both teams can be controlled by computer. The game is tested on a set of testing maps. The thesis compares the three designed modes of behavior and evaluates their ability to succeed against varying opponents and thinking speed.
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Game for Oculus Quest
Kryštůfek, Jakub ; Novák, Jiří (referee) ; Pomikálek, Jiří (advisor)
The aim of this bachelor thesis is to create a prototype of a videogame in virtual reality for target platform Oculus Quest 2. The game was created with game engine Unity with emphasis on optimalization and extensibility of implemented systems. Within the implemented game was created system of autonomous agents via finite state machines and planning architecture goal-oriented action planning. One of the most insteresting game mechanics is fire propagation system implemented with cellular automaton.
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Vizualization of Multi-Agent System With Using Unity Engine
Prokop, Jaroslav ; Zbořil, František (referee) ; Samek, Jan (advisor)
The aim of this thesis is to describe the basic properties of multi-agent system Jason and Unity3D game engine. Subsequently, the thesis deals with creating visualization application which is going to communicate over a network connection with an application written in framework Jason for modeling of multi-agent environment. This sends an requests to visualization agents and their environment on the side of visualization application.
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Artificial Life Simulator
Popek, Miloš ; Grulich, Lukáš (referee) ; Martinek, David (advisor)
Area of artificial life is very extensive. Simulations with reactive agents are the target of this work. Simulator of artificial life and language for definition agent's behavior are described in this work. Porposals a results of simulation made are described in this work.
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Interface for Creation of Game Agents in Jason
Rusnák, Jakub ; Samek, Jan (referee) ; Král, Jiří (advisor)
Thesis deals with creation of interface for creating agents in Jason programming language for Unreal Tournament 2004. Reader is introduced to theory of agent systems, UnrealTournament game and GameBots environment. The paper describes design of this interface and it's implementation. It also deals with the problem of finding path for bots in game. It desribes creation of your own bot using this interface. Finally, efficiency of solution is evaluated.
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Simulation of Cooperation of Agents in Jason Environment
Kříž, Jakub ; Zbořil, František (referee) ; Král, Jiří (advisor)
This work deals with creation of simulator of multi-agent system in which agents cooperate. Reader is introduced to basics of agent systems, their creating and modeling. Design of environment in which agents exist and task they solve is described in this work. There are designed and implemented three levels of racional BDI inteligence of agents with different level of cooperation - without cooperation, weak cooperation and complex cooperation. Whole system is implemented in Jason framework and extensively tested. Behavior of agents is analyzed and levels of intelligence are compared based on simulation experiments. Achieved results prove dominance of team in which agents cooperate more.
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Multirobot Path Planning in a Dynamic System
Dokoupil, Ladislav ; Veigend, Petr (referee) ; Zbořil, František (advisor)
This thesis deals with the problem of dynamic environment search using multi-agent systems. The primary result of this work is participation in the MAPC2022 contest, but the application can be found in the exploration of unknown space, assuming finite visibility and unlimited distance of communication of the agents. After describing the current methods for solving the given problem and their limitations, an algorithm based on ant colony optimization is proposed. Graphs were then created with data from running program with various parameters. The result of work is agents synchronization improvements and overall optimization of the platform involved in the mentioned contest from previous year. As a result half more of explored space was measured compared to previous solution.
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Multirobot Path Planning in a Dynamic System
Plachý, Dominik ; Uhlíř, Václav (referee) ; Zbořil, František (advisor)
This thesis deals with the design of a path planning algorithm for a multi-robot system in order to cover a dynamic environment. The coverage problem is solved by dividing the space into equal sized areas, of which there are at least as many as the number of agents covering the space. The agents divide the areas among themselves and resolve any collisions that occur. They are also able to react by changing their plan when they encounter an obstacle. The thesis contains measured and commented data from running the algorithm for different parameters of the environment dynamics. The result of the work is an algorithm whose efficiency increases directly proportional to the number of agents.
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