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Episodic Memory with Believable Forgetting
Soukup, Tomáš ; Brom, Cyril (advisor) ; Kadlec, Rudolf (referee)
Title: Episodic Memory with Believable Forgetting Author: Tomáš Soukup Department: Department of Software and Computer Science Education Supervisor: Mgr. Cyril Brom, Ph.D., DSCSE Abstract: Presented thesis introduces a model of episodic memory for virtual humans extended by believable forgetting based on rating of memories according to their importance. It is inspired by a psychological model of E. Tulving and experiments of W.A. Wagenaar and M. Linton and builds on a memory model for a human-like agent developed by Klára Pešková, which we modified for the needs of forgetting. Our model takes advantage of the level-of-detail approach to forget the parts of memories gradually. In addition to the age and particularity of memories, emotiveness is also considered during the rating of memories. A simple emotional model was created for this purpose. The functionality of our model was verified by implementing it into a prototype application, which simulates the life of a virtual human in a virtual world. Our experiments showed that the behavior of our model, when configured properly, corresponds with the psychological concepts. Keywords: episodical memory, forgetting, virtual human, emotion, believability
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Intentional and unintentional fiction in the oral-historical interviews
Minářová, Markéta ; Vaněk, Miroslav (advisor) ; Krátká, Lenka (referee)
The aim of my thesis is to analyze testimony of narrators from the perspective of scientific psychoanalysis. The thesis will also focus on memory which is at the origin of human thoughts and potential fiction. The thesis is not given only deals strictly by lies but also forgetting which stands for adjusting or accidental embellishing the truth. The aim of my thesis is also determine the extent to memory. Thought is responsible for the inaccuracy of information and understanding the lie was said in full consciousness and with the clear intention fiction and conceals the true past.
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Episodic Memory with Believable Forgetting
Soukup, Tomáš ; Brom, Cyril (advisor) ; Kadlec, Rudolf (referee)
Title: Episodic Memory with Believable Forgetting Author: Tomáš Soukup Department: Department of Software and Computer Science Education Supervisor: Mgr. Cyril Brom, Ph.D., DSCSE Abstract: Presented thesis introduces a model of episodic memory for virtual humans extended by believable forgetting based on rating of memories according to their importance. It is inspired by a psychological model of E. Tulving and experiments of W.A. Wagenaar and M. Linton and builds on a memory model for a human-like agent developed by Klára Pešková, which we modified for the needs of forgetting. Our model takes advantage of the level-of-detail approach to forget the parts of memories gradually. In addition to the age and particularity of memories, emotiveness is also considered during the rating of memories. A simple emotional model was created for this purpose. The functionality of our model was verified by implementing it into a prototype application, which simulates the life of a virtual human in a virtual world. Our experiments showed that the behavior of our model, when configured properly, corresponds with the psychological concepts. Keywords: episodical memory, forgetting, virtual human, emotion, believability
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Psychological Aspects of Advertising
Velková, Romana ; Hiršová, Miloslava (advisor) ; Novák, Michal (referee)
The thesis deals with the topic of advertisement and advertising campaigns from the perspective of psychology. It firstly tries to explain the basic psychological concepts relating to advertisement. Then the thesis tries to describe the most common elements used in advertisement. These findings are applied in the practical part to a specific campaign with the purpose of creating hypotheses about impact of advertisement on customer. The aim of the practical part is using the results of the survey to assess validity of hypotheses.
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Recursive Estimation of High-Order Markov Chains: Approximation by Finite Mixtures
Kárný, Miroslav
A high-order Markov chain is a universal model of stochastic relations between discrete-valued variables. The exact estimation of its transition probabilities suers from the curse of dimensionality. It requires an excessive amount of informative observations as well as an extreme memory for storing the corresponding su cient statistic. The paper bypasses this problem by considering a rich subset of Markov-chain models, namely, mixtures of low dimensional Markov chains, possibly with external variables. It uses Bayesian approximate estimation suitable for a subsequent decision making under uncertainty. The proposed recursive (sequential, one-pass) estimator updates a product of Dirichlet probability densities (pds) used as an approximate posterior pd, projects the result back to this class of pds and applies an improved data-dependent stabilised forgetting, which counteracts the dangerous accumulation of approximation errors.
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Memory training with senior citizens
CHOVANCOVÁ, Lenka
This is a theoretical work. It deals with the topics of senior citizens and the aging process in an abbreviated conception, periodization of old age, and active life of seniors. It describes forms of social work with seniors in medical facilities, home environments and communities, and in old people's homes. Further, it describes memory: its definition, types of memory, memory loss, reasons why people forget, work with memory and advice on memory improvement from the medical point of view. The last chapter focuses on memory training. It describes the aim of memory training with seniors, benefits of memory training, memory training in home environment and in complex care. Next there are particular mnemonics and exercises focused on individual areas (concentration, senses, speech) with examples. Memory training is one of the effective instruments of increasing self-sufficiency and prolongation of the senior independence.
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The issue of memory in adult education
CHALUPA, Karel
This bachelor thesis concerns itself with the issue of memory on the field of education of adults. It studies individual types of human memory, its processes, and factors that influence its activity. It describes the processes of adult education, the motivation of adults to seek education, and it lists the way of helping a better functioning of memory. In its practical part, the work offers memory tests which have been gathered from chosen groups of adult education partakers. The results are evaluated and the chosen groups compared.
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Approximate Bayesian Recursive Estimation: On Approximation Errors
Kárný, Miroslav ; Dedecius, Kamil
Adaptive systems rely on recursive estimation of a firmly bounded complex- ity. As a rule, they have to use an approximation of the posterior proba- bility density function (pdf), which comprises unreduced information about the estimated parameter. In recursive setting, the latest approximate pdf is updated using the learnt system model and the newest data and then ap- proximated. The fact that approximation errors may accumulate over time course is mostly neglected in the estimator design and, at most, checked ex post. The paper inspects this problem.
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