It is more than 6 yeas as of the moment when Act No. 418/2011 Coll., on penal liability of legal entities and proceedings against them, entered into effect, however, in spite of it inland legal regulation still offers a number of key application and conceptional issues. The achieved objective of the dissertation work submitted was to provide comprehensive and detailed interpretation of the existing legal regulation of the conditions when criminal liability of legal entities is established and to point out, in that interpretation, to some of its particularities, deficiencies or ambiguities in the interpretation. In order to achieve that objective, the author dealt with not only Czech legal regulation as such, however, also with wider topics that clarify the origination of this form of penal liability but that can also help interpreting problematic legal institutes or be the basis for next amendments to the law, if any. For this purpose, the presented dissertation work is divided in four main chapters. The first part contains introductory and fundamental issues of the criminal liability of legal entities. As the sine qua non condition of the topic under investigation, it defines the term of "legal entity" and outlines the historical development of the concept of penal liability of legal entities in...

家族企業是台商企業普遍的經營型態，隨著近幾年台商第一代創業主接近退休年齡，各個台商家族企業中逐漸掀起一波接班潮，未來能否突破接班的挑戰，是台商家族企業走向永續經營的關鍵。然而，家族企業對各接班規劃關鍵因素的認知，都有可能影響接班的最終成果，因此，本研究以台商家族企業的第一代創辦人及第二代接班人選為對象，分別探討家族企業對傳承與接班、治理、成長、確信性、退場策略、財富管理等六項接班規劃關鍵因素的重要性認知程度及影響力認知程度，以分析台商家族企業對接班相關議題的認知現況，以及重要性和影響力兩者認知的差異。此外，本研究更進一步分析職位、性別、年齡、身份等個人特性，以及產業類別、公司年齡、所在地、員工人數等企業特性對各個接班規劃關鍵因素認知的影響。 本研究以結構性紙本問卷進行調查，採用資料分析方法包含探索性因素分析、信度分析、相關分析、成對樣本T檢定、平均數比較、獨立樣本T檢定、單因子變異數分析等方法進行檢定。研究發現，各個接班規劃關鍵因素認知無論在重要性或影響力上，多數都彼此存在顯著正向相關，且重要性的程度均顯著大於影響力的程度。此外，更進一步發現身份、員工人數、產業類別會對認知的結果產生影響。 / Family business is one of general types of companies in Taiwan. As the first generation entrepreneurs reached the retiring age in recent years, many Taiwanese family businesses gradually tend to prepare for succession planning. Whether those Taiwanese family businesses could go through the challenges of succession in the future will be the key factor of their sustainable operation. However, their perceptions of succession planning related issues could influence the result of succession. With their first-generation founders and second-generation successors as research object, this study explored their perception level of the importance and capability to the key factors of succession planning, including succession and next generation, governance, growth, assurance, exit strategies, and wealth preservation. Then, we could capture the thought of family businesses and figure out the difference between importance and capability of each factors. Besides, this study also analyzed the influence of some individual characteristics（ position, gender, age, and status） and business characteristics（ industrial categories, established year, location, the number of employees）. This study employed a paper-based questionnaire survey with a structured format and tested by explorative factor analysis, reliability analysis, correlation analysis, paired sample t-test, comparison of means, independent-sample t-test, and one-way ANOVA. Through those data analysis, the results showed that almost all factors revealed in the study are significantly positively correlated to each other in the perception level of importance as well as the perception level of capability. And, the perception level of importance is always higher than the perception level of capability. Furthermore, some characteristics, including individual status, industrial categories, and number of employees can significantly influence the result of the perception level.

It is more than 6 yeas as of the moment when Act No. 418/2011 Coll., on penal liability of legal entities and proceedings against them, entered into effect, however, in spite of it inland legal regulation still offers a number of key application and conceptional issues. The achieved objective of the dissertation work submitted was to provide comprehensive and detailed interpretation of the existing legal regulation of the conditions when criminal liability of legal entities is established and to point out, in that interpretation, to some of its particularities, deficiencies or ambiguities in the interpretation. In order to achieve that objective, the author dealt with not only Czech legal regulation as such, however, also with wider topics that clarify the origination of this form of penal liability but that can also help interpreting problematic legal institutes or be the basis for next amendments to the law, if any. For this purpose, the presented dissertation work is divided in four main chapters. The first part contains introductory and fundamental issues of the criminal liability of legal entities. As the sine qua non condition of the topic under investigation, it defines the term of "legal entity" and outlines the historical development of the concept of penal liability of legal entities in...

Accumulating evidence suggests that dopaminergic neurons show significant task-related diversity. Curiously, dopamine concentration and dopamine axon activity show spatio-temporal wave patterns in the dorsal striatum. What could be the function of this wave-like dynamics of dopamine in the striatum, particularly in Reinforcement Learning? This work introduces a novel Reinforcement Learning algorithm that exploits the wave-like dynamics of dopamine to increase speed, reliability and flexibility in decision-making. An agent can form a cognitive map by exploring the environment and obtaining the information about the expectation of time spent in each future state given a departing state (i.e. the Successor Representation). This map captures the temporal connections of the visited states and outlines several possible state transition trajectories leading to the reward. Using the cognitive map, following a single reward delivery, the reward prediction errors can be computed for each state. In the cognitive map, states leading to the reward possess a high positive error, while temporally distant states retain smaller errors. Thus, the dynamics of errors exhibit a wave front travelling in the cognitive map. Under the assumption of the neurons representing adjacent states in the cognitive map are also spatial neighbors, it automatically follows that the reward prediction error carrying signal will also show wave-like dynamics in space. By exploiting the dopamine waves, the proposed Reinforcement Learning approach outperforms three classical Reinforcement Learning algorithms: basic SARSA, the Successor Representation and SARSA with eligibility traces. Consequently, the algorithm suggests conditions under which wave-like dynamics of dopamine release in the striatum can have direct functional implications for learning. / En ökande mängd bevis pekar på att dopaminerga nervceller uppvisar en betydande uppgiftsrelaterad diversitet. Märkligt nog uppvisar såväl dopaminkoncentrationen som aktiviteten i dopaminerga axon i dorsala striatum en vågliknande dynamik. Vilken funktion kan dopaminets vågliknande dynamik tänkas fylla i striatum, särskillt vid förstärkningsinlärning? I detta arbete introduceras en ny förstärkningsinlärningsalgoritm som utnyttjar dopaminets vågliknande dynamik för att öka snabbheten, tillförlitligheten och flexbiliteten vid beslutsfattande. En agent kan skapa en kognitiv karta genom att utforska en miljö och tillgodogöra sig information om den förväntade tiden som kommer tillbringas i varje framtida tillstånd givet ett starttillstånd (en så kallad successionsrepresentation). Denna karta fångar upp de tidsmässiga förbindelserna mellan besökta tillstånd och ger en skiss för flera möjliga serier av tillståndsövergångar som leder till belöning. Genom att använda denna kognitiva karta efter en enskild belöning kan belöningsförutsägningsfel beräknas för varje tillstånd. I den kognitiva kartan har tillstånd som leder till belöning ett stort positivt fel, medan tidsmässigt avlägsna tillstånd har mindre fel. Detta ger upphov till att dynamiken för felen uppvisar en vågfront in den kognitiva kartan. Under antagandet att nervceller som representerar närliggande tillstånd i den kognitiva kartan också är fysiska grannar, följer det automatiskt att signalen för belöningsförutsägningsfel också uppvisar en våglikannde dynamik i rummet. Genom att utnyttja dopaminvågor överträffar den föreslagna förstärkningsinlärningsalgoritmen tre klassiska förstärkningsinlärningsalgoritmer: vanlig SARSA, successionsrepresentation, och SARSA med kvalificeringsspår. Algoritmen förslår därför betingelser under vilka en vågliknande dynamik av dopaminfrisättning i striatum kan ha direkta funktionella implikationer för inlärning.

This work presents a scalable solution to automate game-testing. Traditionally, game-testing has been performed by either human players or scripted Artificial Intelligence (AI) agents. While the first produces the most reliable results, the process of organizing testing sessions is time consuming. On the other hand, scripted AI dramatically speeds up the process, however, the insights it provides are far less useful: these agents’ behaviors are highly predictable. The presented solution takes the best of both worlds: the automation of scripted AI, and the richness of human testing by framing the problem within the Deep Reinforcement Learning (DRL) paradigm. Reinforcement Learning (RL) agents are trained to adapt to any unseen level and present customizable human personality traits: such as aggressiveness, greed, fear, etc. This is achieved exploring the problem from a multi-task RL setting. Each personality trait is understood as a different task which can be linearly combined by the proposed algorithm. Furthermore, since Artificial Neural Networks (ANNs) have been used to model the agent’s policies, the solution is highly adaptable and scalable. This thesis reviews the state of the art in both automatic game-testing and RL, and proposes a solution to the above-mentioned problem. Finally, promising results are obtained evaluating the solution on two different environments: a simple environment used to quantify the quality of the designed algorithm, and a generic game environment useful to show-case its applicability. In particular, results show that the designed agent is able to perform good on game levels never seen before. In addition, the agent can display any convex combination of the trained behaviors. Furthermore, its performance is as good as if it had been specifically trained on that particular combination. / Detta arbete presenterar en skalbar lösning för att automatisera speltestning. Traditionellt har speltestning utförts av antingen mänskliga spelare eller förprogrammerade agenter. Även om det förstanämnda ger de mest tillförlitliga resultaten är processen tidskrävande. Å andra sidan påskyndar förprogrammerade agenter processen dramatiskt, men de insikter som de ger är mycket mindre användbara: dessa agenters beteenden är mycket förutsägbara. Den presenterade lösningen använder det bästa av två världar: automatiseringsmöjligheten från förprogrammerade agenter samt möjligheten att simulera djupet av mänskliga tester genom att inrama problemet inom paradigmet Djup Förstärkningsinlärning. En agent baserad på förstärkningsinlärning tränas i att anpassa sig till tidigare osedda spelmiljöer och presenterar anpassningsbara mänskliga personlighetsdrag: som aggressivitet, girighet, rädsla... Eftersom Artificiella Neurala Nätverk (ANNs) har använts för att modellera agentens policyer är lösningen potentiellt mycket anpassnings- och skalbar. Denna rapport granskar först den senaste forskningen inom både automatisk speltestning och förstärkningsinlärning. Senare presenteras en lösning för ovan nämnda problem. Slutligen evalueras lösningen i två olika miljöer med lovande resultat. Den första miljön används för att kvantifiera kvaliteten på den designade algoritmen. Den andra är en generisk spelmiljö som är användbar för att påvisa lösningens tillämplighet.

The topic of this diploma thesis is ethnic groups in the space of the former Soviet Union in the time period 1994-2006 and their involvement in ethnic conflicts. The aim of this thesis is to identify key parameters driving these ethnic groups towards armed conflict as a response to their needs, interests and living conditions. Key assumptions of this thesis are derived from qauntitative as well as qualitative studies. Important characteristics of ethnic groups are also included in the analysis of possible causes of ethnic conflicts. The theoretical discussion shows three main factors which can make ethnic groups more prone to conflict: permanent exclusion, strong identity and lastly dissimilarity of an ethnic group. Influence of these factors is tested using descriptive statistics, odds ratio, correlation and logistic regression. Statistical results shows that strong identity as well as discrimination of ethnic groups increase the probability of ethnic conflicts.

Approximate query processing is an adequate technique to reduce response times and system load in cases where approximate results suffice. In database literature, sampling has been proposed to evaluate queries approximately by using only a subset of the original data. Unfortunately, most of these methods consider either only certain problems arising due to the use of samples in databases (e.g. data skew) or only join operations involving multiple relations. We describe how well-known sampling techniques dealing with group-by operations can be combined with foreign-key joins such that the join is computed after the generation of the sample. In detail, we show how senate sampling and small group sampling can be combined efficiently with the idea of join synopses. Additionally, we introduce different algorithms which maintain the sample if the underlying data changes. Finally, we prove the superiority of our method to the naive approach in an extensive set of experiments.

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對於台灣本土企業而言，接班風險往往成為一項獨特的經營管理風險。本研究分析某一家未能有效管理接班風險的金控企業，並以另一家係有效管理接班風險的金控企業做為對照標竿，藉以探索金控家族企業因為傳承所面臨的接班風險。透過訪談資深幹部所得之資訊，本研究歸納金控家族企業接班過程的可能問題為潛在接班人的「培訓過程」與「態度問題」。此外，就彙整報章雜誌的額外則發現，接班風險較高的企業有較多因為內控問題而產生的裁罰案件，而若干裁罰案件顯示係因所有權凌駕經營權造成的企業損失，並損及企業的商譽。具體而言，與對照企業相較，接班風險的金控企業有顯著較高的裁罰案件與媒體負面報導，相信本研究所提供的對比分析將可提供台灣本土企業有效降低接班風險的參考。 / Succession risk is a unique risk management for local Taiwanese companies. This study analyzes a financial holding company which fails to effectively manage succession risk, where another benchmark company with effective succession risk management is used as comparison to probe into the succession risk faced by the family-run financial holding company from inheritance. The study applies information acquired from interview with senior managers to conclude that likely problems in the succession process of family-run financial holding companies could lie on the “training progress” and “attitude issue” of the potential successors. Moreover, additional findings from the compilation of newspapers and magazines suggest that companies with higher success risks tend to face with penalty cases due to internal control issues. Several penalty cases would imply corporate loss as a result from ownership overriding management with damage to the corporate reputation. Specifically, compared with controlled company, financial holding companies with succession risk is associated with significantly higher penalty cases and adverse reports from the media. The study is believed to provide a comparative analysis that will provide reference for local Taiwanese companies to effectively reduce succession risk.

過去許多國內外的研究顯示，由創業者所經營之家族企業公司績效表現與投資決策優於由接班者所經營之家族企業和非家族企業。然而，台灣過去卻鮮少有文獻探討創業者與接班者在投資決策上的主要差異，以及是否在特定的公司治理特性下可以協助創業者和接班者做決策，進一步增加公司價值。 本研究主要以2010年至2014年間台灣上市櫃家族企業作為樣本，並將樣本分為由創業者所經營之家族企業與接班者所經營之家族企業，探討由創業者經營之家族企業與接班者所控制之經營企業在併購決策上是否有所不同，在何種公司治理特性或是公司特色可使併購宣告效果增加。本研究以兩階段迴歸和事件研究法作為研究方法，第一部分分析創業者與接班者在公司經營績效上之差異，第二部分分析創業者與接班者在併購宣告效果上的差異，最後進一步分析，何種公司治理特性或是公司特色可使併購宣告之累積異常報酬增加。實證結果顯示，創業者所經營之公司經營績效較佳，且由創業者所作之併購決策，能夠顯著提升併購宣告之累積異常報酬。此外，本研究發現外部董事比例越高，對於投資人預期之累積異常報酬顯著負向效果;然而外部股東持股對於併購宣告之累積異常報酬則有正向之加強效果。 / Past studies indicate that founder-family firms exhibit better firm performance and investment decisions than successor-family firms and non-family firms. However, little research has examined the difference in investment decisions across generations (founders and successors) in Taiwan. Moreover, it is unclear whether there exist some specific firm characteristics or corporate governance structure arrangements that can improve the decision-making of corporate investment to enhance firm value. This study employs the family firms and M&A data during the period of 2010 to 2014 in Taiwan to examine whether M&A decisions differ across family generations in Taiwan. Through the two-stage least squares regression analysis and the event study analysis, we find that the founder-family firms have better firm performance than successor-family firms. The founder-family firms also earn higher acquisition announcement returns than successor-family firms. Besides, we show that the percentage of outside directors has a negative effect on the acquisition announcement returns while the largest outside ownership is positively correlated with the acquisition announcement returns.