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Konekcionistický model episodické paměti pro virtuální lidi
Burkert, Ondřej ; Kadlec, Rudolf (referee) ; Brom, Cyril (advisor)
The goal of this work is to design and implement a prototype of the episodic memory for virtual humans. The memory is inspired by up to date research on function of human memory for personal events (episodes) and human time perception. We design a model of memory based on this theoretical knowledge. We took as the point of departure episodic memory system and decision making system of Peskova. The decision making system is based on the BDI, theory of affordances and AND-OR trees. The former episodic memory suffered deficiencies in the recall for time-cued questions. Thus proposed model is working with a unique subsystem for the time perception which allows for more realistic storage and recall of past events. The agent enhanced by this model can reply to questions like "What did you do last week afternoons?". The prototype is programmed in Java using the framework Pogamut 2. Pogamut 2 is connected to the complex continuous 3D world of Unreal Tournament 2004 which allows us to verify the design in the challenging environment. We have conducted several experiments. The results show that the model extends agents cognitive abilities with a capability to understand socially established temporal patterns. That allows him to answer to the questions with a vaguely specified time information. Moreover, the memory...
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Koordinace chování virtuálních lidí
Gemrot, Jakub ; Neruda, Roman (referee) ; Brom, Cyril (advisor)
This thesis is about specific approach to the behavior coordination of multiple embodied virtual agents. Agents may act for themselves or be controlled directly by bodiless coordination agents. This kind of approach is designed for the area of interactive storytelling, where the actor agents are viewed as a string puppets that are controlled by the abstract director. The control mechanism is based upon the BDI architecture and the AgentSpeak(L) language that is extended with template plans and new plan execution mechanism that allows the directing of other actor agents.
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Space maps for human-like agents
Kotrla, Jakub ; Lukavský, Jiří (referee) ; Brom, Cyril (advisor)
The goal of this thesis is to create model of spatial map for human-like agent living in virtual world. The model will increase agent's ability to mimic some aspects of human behaviour. These includes inaccuracy of spatial memories, gradual learning and forgetting. In thesis we introduce model based on results of research of places cells. Spatial map consists of nodes that are at rst distributed uniformly in the world. Virtual agent wanders through world and perceive surrounding objects. Spatial map gradually changes distribution of nodes in world according to agent's perceptions. Model is able to recognize areas with higher count of objects and create concepts of places. Algorithms of model are described including their time complexity. Model was implemented in Python and tested. At the end of thesis we present several possible extensions and future work.
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Adaptation of spatial navigation tests to virtual reality.
Šupalová, Ivana ; Brom, Cyril (advisor) ; Holan, Tomáš (referee)
At the Department of Neurophysiology of Memory in the Academy of Sciences in Czech Republic are recently performed tests of spatial navigation of people in e xperimental real enviroment called Blue Velvet Arena. In introdution of this thesis is described importancy of these tests for medical purposes and the recent solution. The main aim is to adapt this enviroment to virtual reality, allow it's configuration and enable to collect data retieved during experiment's execution. Resulting system is using cooperation of Unreal engine, application in Java language and script engine. The work is also enabling to use Eyelink II device for measuring eye movements.
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Editor for project IVE - controll logic
Juhász, Martin ; Poch, Tomáš (referee) ; Brom, Cyril (advisor)
IVE like a simulator of virtual humans was missing the suitable editor for virtual worlds developing. Goal of this project was to create a toolkit to make easy such virtual worlds developing. In this project I described general requirements and problems I faced up. Mainly I described analyse of loading and saving data and its implementation. I also described single parts of aplication - plugins. During developing the speciment virtual world was created above all for testing propose and verifying the functionality of whole toolkit. Due to this toolkit IVE can be used by larger group of interested people, students and AI researches and could be used as a toolkit for programming of virtual humans.
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Adaptive agents and emotions
Kadlec, Rudolf ; Kryl, Rudolf (referee) ; Brom, Cyril (advisor)
This thesis investigates possible assets of emotions for autonomous adaptive agents working in environments similar to the real world. In living organisms, emotions have developed as a mechanism of adaptation to the surrounding environment. Therefore it is worth asking whether mechanisms similar to emotions can be implemented in models of autonomous agents. In this thesis a model of ethology inspired agent using reinforcement learning was implemented. This model suggests that emotions influence the balance between exploring new strategies and exploiting the strategies already known (the so-called explore/exploit problem). Negative emotional evaluation leads to changes in action selection strategy. The emotional version proved to be better than the non-emotional one in some environments. In other types of environments, the expectations have not been fulfilled. The instability of the received results is probably caused by non-optimal parameterization of the whole model.
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Unreal Tournament Twins
Burkert, Ondřej ; Yaghob, Jakub (referee) ; Brom, Cyril (advisor)
This bachelor thesis is focused on team cooperation of a couple of agents in the enviroment of Unreal Tournament (UT) in the fundamental team-play mode. I worked on realization of autonomous behavior, communication, synchronization of important informations and implementation of tactical operations. Better informed agent could deliver more sofisticated performance and credibility. I implemented the project on the framework made from the game UT, the middleware Gamebots, POSH (the architecture for making agent's logic) and the middleware Pogamut. When I succesfully finished implementation, I have made set of tests to find out the impact of some approaches on agents performance in the game. I found out that the level of cooperation affects the performance. Couple of agents who were cooperating only by sharing informations proved to be the most effective and suitable for the choosen mode of the game.
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Mapping, processing, and representation of a map for Unreal Tournament bots
Gemrot, Jakub ; Brom, Cyril (advisor) ; Yaghob, Jakub (referee)
In many computer games the navigation points are used for the movement of computer-controled players. With the growing power of desktop computers more sophisticated methods are used for the movement of players, namely the method of NavMesh. NavMesh is a set of convex polygons continuously covering the reachable places inside the game by characters. This approach was used in the recently produced games Half-Life 2 and F.E.A.R. Those commercial products can't be used by the academy, therefore the chance to experiment with NavMesh doesn't exist. But there is a simple way to control the characters in environment of older game Unreal Tournament. This work is about the advantages of using NavMesh against older approach of navigation points. This work then presents the way how to automatically generate the NavMesh for the maps of Unreal Tournaments. NavMesh is created using the algorithm from computer graphics for the conversion from CSG representation of the map into boundary representation out of which the NavMesh can be generated. The work also contains a demonstration of usage of NavMesh for the movement of players in Unreal Tournament's maps.
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Unreal bots with emotions
Bída, Michal ; Brom, Cyril (advisor) ; Holan, Tomáš (referee)
This work is concerned with usage of emotions in artificial inteligence in computer games. It inspects possible benefits of emotions for artificial inteligence in the means of better imitation of human behavior. Main goal of this work is the implementation of an emotion model in the enviroment of the game Unreal Tournament (project UT Emotion Bots) and appraisal of its properties and suitability for the simulation of emotions in FPS games. This work introduces platforms used in the development of the project UT Emotion Bots and it evaluates their suitability for development of artificial inteligence.
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