1,170 research outputs found
Planning in Brazil, India and Germany
No full textPlanning is a fundamental cognitive ability that helps in organizing and structuring events unfolding in a person\u27s daily life. Two studies are presented that analyze planning behavior in different cultures: Brazil, India, and Germany. The first is a cross-cultural psychological study in which students develop plans for uncertain problem scenarios. The second study follows a cultural psychological tradition. Workers from different domains are interviewed about their life problems and plans. The strengths and the weaknesses of both approaches become obvious in the description and discussion of these two studies. The cross-cultural study sheds light on cross-cultural similarities and differences in planning in Brazil, India, and Germany. The cultural psychological approach yields data regarding a theoretical model on the specific cultural influences on planning
Decision Making in Individualistic and Collectivistic Cultures
No full textHow do cultural values influence individuals\u27 decision making? One would expect answers to this question either from cognitive psychology or from cross-cultural psychology. Cognitive theories on decision making, however, rarely consider the factor of culture, and research in cross-cultural psychology deals only to a small extent with decision making. Therefore the study of culture and decision making is a relatively new and unexplored field. In this paper normative and descriptive approaches to decision making are discussed and three cross-cultural studies on decision making in individualistic and collectivist cultures using different methodologies are described. The results are integrated into a model that can be helpful to derive specific hypotheses for further studies in this field
Dominik Tatarka - wędrowiec
No full textDominik Tatarka is one of the Slovak travel books’s author; he wrotes reports Clovek na cestach. The travelling was important factor of his life: he find an inspiration for his writting and he formulated his life’s philosophy during his journeys. The travelling is one of the important key for reading all his compositions and for understanding his otlook on life: the author presents himself no as the postmodern nomad, but as the pilgrim, who wanders for aim „to unit splits world” and to find a man
Comprehensive analysis of polypropylene recyclates : characterization, representative sampling and quantification approaches of polyolefin cross contaminations of polypropylene recyclates
No full textAuthor DI Dominik Kaineder BSc.Dissertation Johannes Kepler Universität Linz 2025Arbeit nach Ablauf der Sperre auf den öffentlichen PCs in den Bibliotheken der JKU+Medizin abrufba
Comprehensive analysis of polypropylene recyclates : characterization, representative sampling and quantification approaches of polyolefin cross contaminations of polypropylene recyclates
No full textAuthor DI Dominik Kaineder BSc.Dissertation Johannes Kepler Universität Linz 2025Arbeit nach Ablauf der Sperre auf den öffentlichen PCs in den Bibliotheken der JKU+Medizin abrufba
Beato Iohannes Traguriensis and Dominik Andreis
No full textIn the 17th century, the hagiography and iconography of Bishop Iohannes Traguriensis were enriched by various members of Trogir’ s noble families. In this promotion of the cult of the local beato, Dominik Andreis stands out with his efforts: he was the author of an unpublished Litany in Croatian (1632), the instigator of publishing an Italian Vita by Giovanni Francesco Loredan (1648), and the sponsor of a three act drama by Girolamo Brusoni (1656), performed in Trogir with musical intermezzos and published two years later (1658)
Scalable Inference in Graph-coupled Continuous-time Markov Chains
No full textIn this dissertation novel techniques for inference and learning of and decision-making in probabilistic graphical models over combinatorial state-spaces in continuous-time are developed. Such models are prevalent in the natural sciences and engineering. They can be used to describe various types of multi-agent dynamics on networks, with applications ranging from gene-regulatory networks in molecular biology to social networks in the social sciences to power-grids in engineering. All these examples exist in continuous-time.
The first part of this thesis focuses on inference and learning from incomplete data, recorded at irregular positions in time - which represents the status-quo when dealing with data from molecular biology. Inference based on such data is intractable, with the most prominent reason being the exponentially growing state-space in the number of agents. A common approach to alleviate the state-space explosion are variational approximations. Variational approximations allow for exact computation of approximate inference solutions. This contrasts sampling, which computes approximate solutions of exact inference. Variational approximations exist in various forms for static- or a discrete-time graphical models. We provide a principled way of generating variational approximations for inference in continuous-time probabilistic graphical models of various degrees of accuracy.
Similarly, learning probabilistic graphical models is non-tractable, as the number of graph-structures scales super-exponentially in the number of agents. This becomes especially hopeless in the aforementioned incomplete data-scenario, where for each of the possible graphs the intractable inference has to be performed. We relax the combinatorial problem of structure search to a gradient-based approach using optimization over mixtures of possible structures. By combination with the aforementioned variational inference, a scalable method for structure learning from incomplete time-series data is developed.
The second part of this thesis focuses on decision-making in continuous-time multi-agent networks. First we take the perspective of an external policymaker. The goal is to perform optimal sequential interventional experiments to learn network structure and parameters requiring only a minimal amount of resources. For this, we adopt techniques from optimal experimental design and causal inference. Making optimal decisions under uncertainty requires accounting for all possible outcomes. This is intractable to do exactly in multi-agent systems. We develop a novel variational criterion that allows for making decisions in high-dimensional settings. We show how interventions from Pearls do-calculus can be translated from static to continuous-time models. The result is surprising - the outcome of an intervention in a continuous-time cyclic interaction graph is the same as in a static acyclic Bayesian network.
Then, we take the perspective of individual agents and make optimal local state-dependent decisions in the form of actions to achieve a common goal. In this planning scenario, each agent has to account for all possible state-action trajectories of all other agents. Here, we leverage the variational perturbation theory developed in the first part of the thesis by making use of the duality between planning and inference. We show how the (discounted) planning via inference framework translates into continuous-time
Hybrid threats, cyber warfare and NATO's comprehensive approach for countering 21st century threats - mapping the new frontier of global risk and security management
No full textThe author examines NATO's comprehensive conceptual framework (the Capstone Concept) for identifying and discussing emerging threats to international peace and security including cyber war and possible multi-stakeholder responses. Article by Sascha-Dominik bachmann, Senior Lectuer in Law, School of Law, University of Portsmouth
Hybrid threats, cyber warfare and NATO's comprehensive approach for countering 21st century threats - mapping the new frontier of global risk and security management
No full textThe author examines NATO's comprehensive conceptual framework (the Capstone Concept) for identifying and discussing emerging threats to international peace and security including cyber war and possible multi-stakeholder responses. Article by Sascha-Dominik bachmann, Senior Lectuer in Law, School of Law, University of Portsmouth
Russian Philosophy as interpreted by Dominik Barač
No full textU članku autor prikazuje lik Dominika Barača, dominikanca, filozofa i teologa koji se bavio socijalnom filozofijom boljševizma, odnosno komunizma u Rusiji. Proučava povijesne korijene i uzrok njezina nastajanja, kao i njezin odraz i utjecaj na kršćanstvo. U ruskoj socijalnoj filozofiji boljševizma, koja počiva na ideologiji, totalitarizmu i diktaturi, autor otkriva ideološko-materijalističko ateističko usmjerenje. Kritičkim pristupom ruskoj filozofiji, koja upotrebljava dijalektičko-materijalističko-marksističku metodu, s tomističkog i kršćanskog stajališta uočava teške zablude boljševizma, odnosno komunizma glede poimanja društva u kojemu pojedinac, ljudska osoba, gubi svoju osobnost i dostojanstvo, što je u potpunoj suprotnosti sa socijalno-etičkim principima naučavanja sv. Tome Akvinskoga, skolastičkom filozofijom i kršćanskim naukom.In this article the author gives a portrayal of Dominik Barač - Dominican priest, philosopher and theologian - who was engaged in the study of the social philosophy of Bolshevism, or rather Communism in Russia: its historical roots, the reasons for its emergence and the effect it wrought upon Christianity. The Russian social philosophy of Bolshevism is based on ideological principles, totalitarianism and dictatorship, hence the author unveils its ideological-materialistic-atheistic bent. With a critical approach to Russian philosophy, in which the dialectic-materialistic-marxist method is applied, the author points out from a Thomist and Christian point of view the grave errors of Bolshevism: misconceptions regarding its understanding of a society in which the individual human person in effect loses his individuality and his dignity, this being contrary to the social-ethical principles taught by St. Thomas Aquinas, by the Scholastics and by Christian doctrine
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