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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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Ditchers
Slabý, David ; Cibulka, Josef (referee) ; Lidický, Bernard (advisor)
The aim of this work is to combine the playability and the idea of the legendary game Tunneler with the option of programming arti cial intelligence for computer players. Writing scripts and their use in the game is separated from the game itself, so the author of a script only has to know the scripting language and a few interface functions to successfully create an intelligent robot. At the same time the game is suffciently attractive to casual players, it is easy to operate and has some additional features, such as multiple weapons, maps and robot types. Another important feature is the option of playing over LAN.
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From machine to icon:car in popculture from the 60s
Rybář, Václav ; Bednařík, Petr (advisor) ; Jirák, Jan (referee)
An automobile is one of the most important phenomenons of modern technology. Since its origins, it has profoundly shaped our physical, economic, politic, social, cultural and media habitat. The objective of this Master thesis is to analyze the evolution of the role of the car in the popculture from the 60s onwards and its dimensions, with a primary focus on Anglosaxon culture, with excursions to Asia and continental Europe, primarily Czechoslovakia/Czech Republic. The core foundation of the thesis lies in the analysis of the popcultural genres, selected films, TV series, computer games and comic books. The main purpose of the thesis is to reflect upon the identity and conceptual shifts of car, going from a mere transport machine through a vehicle of product placement towards the concept of the icon, a narrative hero of popculture. The hypothesis to verify is that the car has become an essential part of the popculture itself, reflected in many various dimensions: car as a toy, car as a friend, car as a status symbol, car as a narrative extension of the hero and finally, car as a hero and subject. The thesis is divided into five separate chapters, all including case studies. Following an introduction summarizing cultural, economic and historic factors of the car industry, the first chapter describes...
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Strategic Game in Multi-Agent System Jason
Vais, Roman ; Zbořil, František (referee) ; Král, Jiří (advisor)
This thesis describes artificial inteligence used in developement of computer games, particularly discusses with theory behing artificial inteligence used in real-time strategy games. It deals with implementation of extensions for one such a game. It analyzes posibylities of use multi-agent systems architecture for purposess of artificial inteligence in games. It describes concept of swarm inteligence as suitable but not used tool for developing not only videogame artificial inteligence. Moreover it attempts to find suitable representation of sensation for software agents and shows the difficulties of this task.
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Gradient Boosting Machine and Artificial Neural Networks in R and H2O
Sabo, Juraj ; Bašta, Milan (advisor) ; Plašil, Miroslav (referee)
Artificial neural networks are fascinating machine learning algorithms. They used to be considered unreliable and computationally very expensive. Now it is known that modern neural networks can be quite useful, but their computational expensiveness unfortunately remains. Statistical boosting is considered to be one of the most important machine learning ideas. It is based on an ensemble of weak models that together create a powerful learning system. The goal of this thesis is the comparison of these machine learning models on three use cases. The first use case deals with modeling the probability of burglary in the city of Chicago. The second use case is the typical example of customer churn prediction in telecommunication industry and the last use case is related to the problematic of the computer vision. The second goal of this thesis is to introduce an open-source machine learning platform called H2O. It includes, among other things, an interface for R and it is designed to run in standalone mode or on Hadoop. The thesis also includes the introduction into an open-source software library Apache Hadoop that allows for distributed processing of big data. Concretely into its open-source distribution Hortonworks Data Platform.
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Analysis of high-frequency activity in electroencephalogram of animal epilepsy model
Havel, T. ; Kudláček, J. ; Jiruška, Přemysl ; Ježdík, P. ; Čmejla, R.
High frequency oscillations (HFO) are believed to be a new specific biomarker of epileptogenic tissue. According to the reported findings, we hypothesized that HFOs occur more specific to the epileptogenic tissue. To test this hypothesis, we analyzed intracranial electroencephalograms (iEEG) of three subjects of animal epilepsy model. Overall 180 minutes of iEEG records were processed by the automatic high frequency activity detector and further analyzed. The dominant frequency of each segment was determined and categorized as ripples (80-200 Hz) or fast ripples (200-1000 Hz). Even though overall number of HFO detections predominate in the hemisphere where epileptic focus is located, in comparison of each brain structure separately our hypothesis cannot be fully confirmed.
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Case study of intracranial EEG records of patients with focal cortical dysplasia type I and II
Balach, J. ; Ježdík, P. ; Čmejla, R. ; Kršek, P. ; Jiruška, Přemysl
In this study we try to find out if it is possible to differentiate type of focal cortical dysplasia by features obtained from intracranial EEG. We compare occurrence and rates of three biomarkers present in epilepsy in patients with focal cortical dysplasia type I and II. Case study is made on long term night records of 6 pediatric patients. Detection of interictal epileptiform discharges and high-frequency oscillations is made by automated algorithms, delta brush are marked visually. Position of lesion and electrodes inside were obtained from MRI. In individual rates were not found difference on significant level. No major significance were found, but as promising seem to be ratio inside to outside rates of high-frequency oscillations and presence of delta brush, which were found only in patients with focal cortical dysplasia type II.
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Fracture Behaviour of Steels and Their Welds for Power Industry
Al Khaddour, Samer ; Kohout, Jan (referee) ; Válka, Libor (referee) ; Dlouhý, Ivo (advisor)
Práce byla zaměřena na ověření platnosti koncepce master křivky pro hodnocení heterogenních svarových spojů, resp. teplotně stárnutých svarů. Současně bylo cílem disertace vyvinout kvantitativní model pro predikci referenční teploty lokalizující tranzitní oblast na teplotní ose za použití dat získaných z tahové zkoušky, a to za použití metody umělých neuronových sítí. Studie je současně zaměřena na heterogenní svarový spoj připravený tavným svařováním. Je zacílena na hodnocení lomového chování v tranzitní oblasti nejméně odolné části svaru, tj. tepelně ovlivněné zóny ferritické oceli v blízkosti zóny natavení s vysokolegovaným materiálem. Pro predikci referenční teploty master křivky je použita zmíněná metoda neuronových sítí, a to za použití dat z tahových zkoušek a měření tvrdosti. Predikovaná referenční teplota byla ověřována na základě výsledku experimentálních měření. Vytvoření modelu za použití neuronových sítí vyžaduje dostatečné množství dat a není vždy snadno tuto podmínku splnit. V případě sledovaného problému to znamenalo použití dat z dostatečně věrohodných zdrojů (skupiny Křehký lom ÚFM AVČR) a se známou metalurgickou historií. Smysl práce je tak možno spatřovat ve vývoji modelu neuronové sítě, která bude dostatečně přesně predikovat referenční teplotu. Celkově byla pro tyto účely použita data z 29 nízkolegovaných ocelí. Pro účely vývoje byly použity kromě hladkých zkušebních tyčí, rovněž tahové zkoušky s obvodovým vrubem testované při kritické teplotě křehkosti (mez makroplastických deformací) a při teplotě pokojové. Při tvorbě modelu byla postupně v různých kombinacích využita všechna data z uvedených zkoušek. Studie ukázala, že referenční teplota charakterizující tranzitní chování lomové houževnatosti oceli s převažující feritickou strukturou je jedinečným parametrem predikovatelným na základě vybraných charakteristik tahových zkoušek.
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