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Social Network Analysis and Simulations
Vorlová, Pavla ; Král, Jiří (referee) ; Samek, Jan (advisor)
This diploma thesis is focusing on description of processing social network analysis, design and implementation of a model that simulates a particular social network and its analysis. Social networks are modern and very used in this time. They are very good point for exploring. This project deal with static analysis social network, where social network is constructed by graph. We nd out di erent properties of single component and than we establish signi cance of them. Relationships between components are important too for us, because they have a big influence on propagation information in network. Structural properties figure out existence of di fferent communities. We simulate social network with multi-agent systems, they are desirable for represent changes in network. Multi-agent systems have implemented a simulation model that represents a particular social network. His behaviour was analyzed and examinated by chosen methods.
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BOIDS Method for Swarm Simulation
Burda, Radek ; Král, Jiří (referee) ; Zbořil, František (advisor)
This work primarily deals with C.Reynolds's model of flocking -BOIDS - and uses the model as a basis for creating a swarm simulation. It discusses methods for obstacle avoidance and principle of forces arbitration (flocking rules, obstacle avoidance and goal satisfying) to properly avoid conflicting of behaviours. Furhermore some of other approaches to flocking simulation are mentioned while their pros and cons are taken up. Last but not least proceeding of creating a graphic environment in Blender for demonstrating boids behavior in the final 3D application is described.
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Virtual Power Plant Anomaly Detection
Vymazal, Jan ; Kočí, Radek (referee) ; Zbořil, František (advisor)
This bachelor thesis deals with the implementation of a multi-agent system for the detection and prediction of anomalies during the operation of a virtual power plant. The thesis also deals with the implementation of a simulation that puts this multi-agent system into an environment that reflects the gradual addition of data in the real world. It also deals with the principles of communication between agents in a multi-agent environment according to FIPA standards. As part of the work, I created the multi-agent system in the JADE framework in the Java programming language and a script in the Python programming language that implements the simulation.
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Multiagent Support for Strategic Games
Knapek, Petr ; Uhlíř, Václav (referee) ; Zbořil, František (advisor)
This thesis is dedicated to creating a new system with capabilities to create new generic, autonomous strategy computer game controlling elements based on multi-agent systems with social, intelligent decision-making and learning skills. Basic types of strategy games and problems of their playing will be introduced, along with currently used methods of intelligent game AI development. This thesis also presents design and implementation of the new system, working model for a specific game and results obtained while testing it.
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Virtual Power Plant Anomaly Detection
Vymazal, Jan ; Kočí, Radek (referee) ; Zbořil, František (advisor)
This bachelor thesis deals with the implementation of a multi-agent system for the detection and prediction of anomalies during the operation of a virtual power plant. The thesis also deals with the implementation of a simulation that puts this multi-agent system into an environment that reflects the gradual addition of data in the real world. It also deals with the principles of communication between agents in a multi-agent environment according to FIPA standards. As part of the work, I created the multi-agent system in the JADE framework in the Java programming language and a script in the Python programming language that implements the simulation.
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Multiagent Support for Strategic Games
Knapek, Petr ; Uhlíř, Václav (referee) ; Zbořil, František (advisor)
This thesis is dedicated to creating a new system with capabilities to create new generic, autonomous strategy computer game controlling elements based on multi-agent systems with social, intelligent decision-making and learning skills. Basic types of strategy games and problems of their playing will be introduced, along with currently used methods of intelligent game AI development. This thesis also presents design and implementation of the new system, working model for a specific game and results obtained while testing it.
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BOIDS Method for Swarm Simulation
Burda, Radek ; Král, Jiří (referee) ; Zbořil, František (advisor)
This work primarily deals with C.Reynolds's model of flocking -BOIDS - and uses the model as a basis for creating a swarm simulation. It discusses methods for obstacle avoidance and principle of forces arbitration (flocking rules, obstacle avoidance and goal satisfying) to properly avoid conflicting of behaviours. Furhermore some of other approaches to flocking simulation are mentioned while their pros and cons are taken up. Last but not least proceeding of creating a graphic environment in Blender for demonstrating boids behavior in the final 3D application is described.
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