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Multiagentní systém pro řízení subsystému Smart Home
Pločica, Peter ; Zbořil, František (referee) ; Janoušek, Vladimír (advisor)
In today’s world, technology has become an essential part of practically every person’s life. The development in technology has led to the creation of Smart Home. The advancement in artificial intelligence has resulted in the emergence of multi-agent systems, which is the focus of this work. The aim of this work was to create a multi-agent system to control the subsystem of Smart Home, which can lead to better integration of devices from different companies and better handling of more demanding operations. The work includes topic of Smart Home, which is related to the concept of ambient intelligence and the topic of multi-agent systems. Furthermore, the work includes the design of this system and a detailed description of its implementation, specifically the agents in the system. Finally, the functionality of the system is tested and the results are also part of the work.
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Multiagentní systém pro řízení subsystému Smart Home
Pločica, Peter ; Zbořil, František (referee) ; Janoušek, Vladimír (advisor)
In today’s world, technology has become an essential part of practically every person’s life. The development in technology has led to the creation of Smart Home. The advancement in artificial intelligence has resulted in the emergence of multi-agent systems, which is the focus of this work. The aim of this work was to create a multi-agent system to control the subsystem of Smart Home, which can lead to better integration of devices from different companies and better handling of more demanding operations. The work includes topic of Smart Home, which is related to the concept of ambient intelligence and the topic of multi-agent systems. Furthermore, the work includes the design of this system and a detailed description of its implementation, specifically the agents in the system. Finally, the functionality of the system is tested and the results are also part of the work.
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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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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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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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Creating bidding strategies for double auction markets using the genetic programming
Hudec, Tobiáš ; Pilát, Martin (advisor) ; Šmíd, Jakub (referee)
Computational economics investigates economic phenomena by computer simulations. For these simulations it needs computer programs which can simu- late behaviour of people. It is possible to use artificial intelligence to simulate behaviour of people. We investigate ways of using a type of artificial intelligence called genetic programming in a trading system called double auction. We de- vise a modification of genetic programming in order to improve its performance in double auction. We experimentally verify whether trading controlled by ge- netic programming has properties that we would expect from trading conducted by people. It turns out that genetic programming approximates behaviour of pe- ople well, and is therefore a feasible tool for computational economics. 1
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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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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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