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Competitions in Artificial Intelligence
Šafář, Pavel ; Hynčica, Tomáš (referee) ; Honzík, Petr (advisor)
My thesis is focused on the field of artificial intelligence and especially on the competitions in the areas of robotics, computer vision, communication, time series forecasting and game playing programmes. Furthermore I devoted myself to the research of the use of neural network as a tool to solve the Gomoku game problems. The neural network processes the game situations and sets up the output values based on the pre-set models.
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The Use of Means of Artificial Intelligence for the Decision Making Support on Stock Market
Hrach, Vlastimil ; Budík, Jan (referee) ; Dostál, Petr (advisor)
The diploma thesis deals with artificial intelligence utilization for predictions on stock markets.The prediction is unconventionally based on Bayes' probabilistic model theorem and on its based Naive Bayes classifier. I the practical part algorithm is designed. The algorithm uses recognized relations between identifiers of technical analyze. Concretely exponential running averages at 20 and 50 days had been used. The program output is a graphic forecast of future stock development which is designed on ground of relations classification between the identifiers
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Education of artificial intelligence in extracurricular education
Szymeczek, Martin ; Hůlka, Tomáš (referee) ; Lacko, Branislav (advisor)
This bachelor's thesis focuses on the issue of artificial intelligence. After the introductory part, key concepts and the historical development of artificial intelligence from ancient times to the present are presented. The third part is focused on the impact of artificial intelligence on Industry 4.0 and describes the advantages and disadvantages of its implementation. The fourth part is focused on the education of artificial intelligence in secondary schools. The final fifth part introduces a proposal for posters for VIDA! Brno as a means of supporting the education of artificial intelligence in extracurricular education.
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Sex robotics: humanization, sexualization and genderization of sexbots
Nováková, Petra ; Dvořáčková, Jana (advisor) ; Kobová, Ĺubica (referee)
The diploma thesis focuses on the analysis of tendencies to humanize modern technologies, i.e. the process of assigning human attributes and characteristics, roles and features to machines, despite the fact that machines are of inorganic origin, created artificially by man and thus inherently asexual. In the case of sexual technologies and in the field of sex robotics in particular, there is not only genderization but also the sexualization of humanoid- looking machines such as the so called sexual robots or sexbots. The resulting design reflects the binary understanding of gender and stereotypes associated with gender. The process of humanization is analyzed in the context of contemporary popular culture and post-humanistic theories of the study of human-robot relations, while also taking into account the binary understanding of gender and the categories of masculinity and femininity. Popular culture is thus improtant not only in regards to the development of sexbots but also in terms of acceptance by the users. Attention is paid to the possible positive and negative consequences of engaging with sexbots on the user int he contxt of the apparent human ability to form emotional connections to technological artifacts. Key words Technology, robot, sex, artifical inteligence, sexbot, sex doll, popular...
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Competitions in Artificial Intelligence
Šafář, Pavel ; Hynčica, Tomáš (referee) ; Honzík, Petr (advisor)
My thesis is focused on the field of artificial intelligence and especially on the competitions in the areas of robotics, computer vision, communication, time series forecasting and game playing programmes. Furthermore I devoted myself to the research of the use of neural network as a tool to solve the Gomoku game problems. The neural network processes the game situations and sets up the output values based on the pre-set models.
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The Use of Means of Artificial Intelligence for the Decision Making Support on Stock Market
Hrach, Vlastimil ; Budík, Jan (referee) ; Dostál, Petr (advisor)
The diploma thesis deals with artificial intelligence utilization for predictions on stock markets.The prediction is unconventionally based on Bayes' probabilistic model theorem and on its based Naive Bayes classifier. I the practical part algorithm is designed. The algorithm uses recognized relations between identifiers of technical analyze. Concretely exponential running averages at 20 and 50 days had been used. The program output is a graphic forecast of future stock development which is designed on ground of relations classification between the identifiers
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