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Simulation Based Matchmaking Optimisation
Eštvan, Ivan ; Chlubna, Tomáš (referee) ; Milet, Tomáš (advisor)
This bachelor's thesis focuses on designing a working matchmaking system and simulation environment for a First Person Shooter like game and their implementation within Unreal Engine 4. It introduces various types of matchmaking systems used in today's games and explains some basic concepts used in Unreal Engine 4 to implement such environments. Implemented system then takes the input data, with information about players, creates matches by using our own matchmaking and performs a simulation of them, providing the simulation results of created matches for further analysis.
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Adaptive Matchmaking Algorithms for Computational Multi-Agent Systems
Kazík, Ondřej ; Neruda, Roman (advisor) ; Paprzycki, Marcin (referee) ; Diamantini, Claudia (referee)
The multi-agent systems (MAS) has proven their suitability for implementation of complex software systems. In this work, we have analyzed and designed the data mining MAS by means of role-based organizational model. The organiza- tional model and the model of data mining methods have been formalized in the description logic. By matchmaking which is the main subject of our research, we understand the recommendation of computational agents, i.e. agents encap- sulating some computational method, according their capabilities and previous performances. The matchmaking thus consist of two parts: querying the ontol- ogy model and the meta-learning. Three meta-learning scenarios were tested: optimization in the parameter space, multi-objective optimization of data min- ing processes and method recommendation. A set of experiments in these areas have been performed. 1
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Simulation Based Matchmaking Optimisation
Eštvan, Ivan ; Chlubna, Tomáš (referee) ; Milet, Tomáš (advisor)
This bachelor's thesis focuses on designing a working matchmaking system and simulation environment for a First Person Shooter like game and their implementation within Unreal Engine 4. It introduces various types of matchmaking systems used in today's games and explains some basic concepts used in Unreal Engine 4 to implement such environments. Implemented system then takes the input data, with information about players, creates matches by using our own matchmaking and performs a simulation of them, providing the simulation results of created matches for further analysis.
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Adaptive Matchmaking Algorithms for Computational Multi-Agent Systems
Kazík, Ondřej ; Neruda, Roman (advisor) ; Paprzycki, Marcin (referee) ; Diamantini, Claudia (referee)
The multi-agent systems (MAS) has proven their suitability for implementation of complex software systems. In this work, we have analyzed and designed the data mining MAS by means of role-based organizational model. The organiza- tional model and the model of data mining methods have been formalized in the description logic. By matchmaking which is the main subject of our research, we understand the recommendation of computational agents, i.e. agents encap- sulating some computational method, according their capabilities and previous performances. The matchmaking thus consist of two parts: querying the ontol- ogy model and the meta-learning. Three meta-learning scenarios were tested: optimization in the parameter space, multi-objective optimization of data min- ing processes and method recommendation. A set of experiments in these areas have been performed. 1
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