Search results for 'Fritz Hartmann' (try it on Scholar)

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  1. Fritz Hartmann (1984). The Corporeality of Shame: Px and Hx at the Bedside. Journal of Medicine and Philosophy 9 (1):63-74.score: 120.0
    In order to appreciate the role of the phenomenon of shame in the context of the clinic – both as normal self evaluation and as neurotic response – a philosophical anthropological description of shame is offered. Not only are Biblical metaphors recast, but more recent phenomenological psychological descriptions taken from Max Scheler and others are cited. These necessarily require some account of the patient's body in shame, taken from both his perspective and the physician's. In short, the corporeality of shame (...)
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  2. Alma Hartmann (1912). Chronologische Übersicht der Schriften von Eduard von Hartmann. Kant-Studien 17 (1-3).score: 120.0
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  3. Luc Bovens & Stephan Hartmann (eds.) (2004). Bayesian Epistemology. OUP Oxford.score: 60.0
    Probabilistic models have much to offer to philosophy. We continually receive information from a variety of sources: from our senses, from witnesses, from scientific instruments. When considering whether we should believe this information, we assess whether the sources are independent, how reliable they are, and how plausible and coherent the information is. Bovens and Hartmann provide a systematic Bayesian account of these features of reasoning. Simple Bayesian Networks allow us to model alternative assumptions about the nature of the information (...)
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  4. Stephan Hartmann & Jan Sprenger (2012). Judgment Aggregation and the Problem of Tracking the Truth. Synthese 187 (1):209-221.score: 60.0
    The aggregation of consistent individual judgments on logically interconnected propositions into a collective judgment on those propositions has recently drawn much attention. Seemingly reasonable aggregation procedures, such as propositionwise majority voting, cannot ensure an equally consistent collective conclusion. The literature on judgment aggregation refers to that problem as the discursive dilemma. In this paper, we motivate that many groups do not only want to reach a factually right conclusion, but also want to correctly evaluate the reasons for that conclusion. In (...)
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  5. Stephan Hartmann, Carlo Martini & Jan Sprenger (eds.) (2010). Formal Modeling in Social Epistemology. [REVIEW] Logic Journal of the IGPL (special issue).score: 60.0
    Special issue. With contributions by Rogier De Langhe and Matthias Greiff, Igor Douven and Alexander Riegler, Stephan Hartmann and Jan Sprenger, Carl Wagner, Paul Weirich, and Jesús Zamora Bonilla.
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  6. Luc Bovens & Stephan Hartmann (2003). Bayesian Epistemology. Oxford: Oxford University Press.score: 60.0
    Bovens and Hartmann provide a systematic guide to the use of probabilistic methods not just in epistemology, but also in philosophy of science, voting theory, ...
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  7. Ulrich Gähde & Stephan Hartmann (2005). Coherence, Truth and Testimony. Erkenntnis 63 (3).score: 60.0
    Special issue. With contributions by Luc Bovens and Stephan Hartmann, David Glass, Keith Lehrer, Erik Olsson, Tomoji Shogenji, Mark Siebel, and Paul Thagard.
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  8. Nicolai Hartmann & Keith R. Peterson (2012). How Is Critical Ontology Possible? Toward the Foundation of the General Theory of the Categories, Part One (1923). Axiomathes 22:315-354.score: 60.0
    This is a translation of an early essay by the German philosopher Nicolai Hartmann (1882–1950). In this 1923 essay Hartmann presents many of the fundamental ideas of his new critical ontology. He summarizes some of the main points of his critique of neo-Kantian epistemology, and provides the point of departure for his new approach in an extensive criticism of the errors of the classical ontological tradition. Some of these errors concern the definition of an ontological category or principle, (...)
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  9. Max Hartmann (1948). Das Mechanismus-Vitalismus-Problem Vom Standpunkt der Kritischen Ontologie Nicolai Hartmanns. Zeitschrift für Philosophische Forschung 3 (1):36 - 49.score: 60.0
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  10. Peter Fritz (forthcoming). A Logic for Epistemic Two-Dimensional Semantics. Synthese:1-18.score: 30.0
    Epistemic two-dimensional semantics is a theory in the philosophy of language that provides an account of meaning which is sensitive to the distinction between necessity and apriority. While this theory is usually presented in an informal manner, I take some steps in formalizing it in this paper. To do so, I define a semantics for a propositional modal logic with operators for the modalities of necessity, actuality, and apriority that captures the relevant ideas of epistemic two-dimensional semantics. I also describe (...)
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  11. Alan Hájek & Stephan Hartmann (2010). Bayesian Epistemology. In J. Dancy et al (ed.), A Companion to Epistemology. Blackwell.score: 30.0
    Bayesianism is our leading theory of uncertainty. Epistemology is defined as the theory of knowledge. So “Bayesian Epistemology” may sound like an oxymoron. Bayesianism, after all, studies the properties and dynamics of degrees of belief, understood to be probabilities. Traditional epistemology, on the other hand, places the singularly non-probabilistic notion of knowledge at centre stage, and to the extent that it traffics in belief, that notion does not come in degrees. So how can there be a Bayesian epistemology?
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  12. Peter Fritz, Matrices and Modalities: On the Logic of Two-Dimensional Semantics.score: 30.0
    Two-dimensional semantics is a theory in the philosophy of language that provides an account of meaning which is sensitive to the distinction between necessity and apriority. Usually, this theory is presented in an informal manner. In this thesis, I take first steps in formalizing it, and use the formalization to present some considerations in favor of two-dimensional semantics. To do so, I define a semantics for a propositional modal logic with operators for the modalities of necessity, actuality, and apriority that (...)
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  13. Peter Fritz, Belief Revision in Dynamic Epistemic Logic and Ranking Theory.score: 30.0
    I want to look at recent developments of representing AGM-style belief revision in dynamic epistemic logics and the options for doing something similar for ranking theory. Formally, my aim will be modest: I will define a version of basic dynamic doxastic logic using ranking functions as the semantics. I will show why formalizing ranking theory this way is useful for the ranking theorist first by showing how it enables one to compare ranking theory more easily with other approaches to belief (...)
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  14. Peter Fritz (forthcoming). Modal Ontology and Generalized Quantifiers. Journal of Philosophical Logic.score: 30.0
    Timothy Williamson has argued that in the debate on modal ontology, the familiar distinction between actualism and possibilism should be replaced by a distinction between positions he calls contingentism and necessitism. He has also argued in favor of necessitism, using results on quantified modal logic with plurally interpreted second-order quantifiers showing that necessitists can draw distinctions contingentists cannot draw. Some of these results are similar to well-known results on the relative expressivity of quantified modal logics with so-called inner and outer (...)
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  15. Stephan Hartmann & Jan Sprenger (forthcoming). Bayesian Epistemology. In Duncan Pritchard & Sven Bernecker (eds.), Routledge Companion to Epistemology. Routledge.score: 30.0
    Bayesian epistemology addresses epistemological problems with the help of the mathematical theory of probability. It turns out that the probability calculus is especially suited to represent degrees of belief (credences) and to deal with questions of belief change, confirmation, evidence, justification, and coherence. Compared to the informal discussions in traditional epistemology, Bayesian epis- temology allows for a more precise and fine-grained analysis which takes the gradual aspects of these central epistemological notions into account. Bayesian epistemology therefore complements traditional epistemology; it (...)
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  16. Foad Dizadji-Bahmani, Roman Frigg & Stephan Hartmann (2010). Who's Afraid of Nagelian Reduction? Erkenntnis 73 (3):393-412.score: 30.0
    We reconsider the Nagelian theory of reduction and argue that, contrary to a widely held view, it is the right analysis of intertheoretic reduction, since the alleged difficulties of the theory either vanish upon closer inspection or turn out to be substantive philosophical questions rather than knock-down arguments.
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  17. Martin Hartmann & Axel Honneth (2006). Paradoxes of Capitalism. Constellations 13 (1):41-58.score: 30.0
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  18. Alan Hájek & Stephan Hartmann, Bayesian Epistemology.score: 30.0
    According to one view, there cannot: Bayesianism fails to do justice to essential aspects of knowledge and belief, and as such it cannot provide a genuine epistemology at all. According to another view, Bayesianism should supersede traditional epistemology: where the latter has been mired in endless debates over skepticism and Gettierology, Bayesianism offers the epistemologist a thriving research program. We will advocate a more moderate view: Bayesianism can illuminate various long­standing problems of epistemology, while not addressing all of them; and (...)
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  19. Peter Fritz, What is the Correct Logic of Necessity, Actuality and Apriority?score: 30.0
    This paper is concerned with a propositional modal logic with operators for necessity, actuality and apriority. The logic is characterized by a class of relational structures defined according to ideas of epistemic two-dimensional semantics, and can therefore be seen as formalizing the relations between necessity, actuality and apriority according to epistemic two-dimensional semantics. We can ask whether this logic is correct, in the sense that its theorems are all and only the informally valid formulas. This paper gives outlines of two (...)
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  20. Stephan Hartmann (1996). The World as a Process: Simulations in the Natural and Social Sciences. In Rainer Hegselmann (ed.), Modelling and Simulation in the Social Sciences from the Philosophy of Science Point of View.score: 30.0
    Simulation techniques, especially those implemented on a computer, are frequently employed in natural as well as in social sciences with considerable success. There is mounting evidence that the "model-building era" (J. Niehans) that dominated the theoretical activities of the sciences for a long time is about to be succeeded or at least lastingly supplemented by the "simulation era". But what exactly are models? What is a simulation and what is the difference and the relation between a model and a simulation? (...)
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  21. Rolf Haenni & Stephan Hartmann (2006). Modeling Partially Reliable Information Sources: A General Approach Based on Dempster-Shafer Theory. Information Fusion 7:361-379.score: 30.0
    Combining testimonial reports from independent and partially reliable information sources is an important problem of uncertain reasoning. Within the framework of Dempster-Shafer theory, we propose a general model of partially reliable sources which includes several previously known results as special cases. The paper reproduces these results, gives a number of new insights, and thereby contributes to a better understanding of this important application of reasoning with uncertain and incomplete information.
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  22. Stephan Hartmann & Jonah N. Schupbach (2010). Review of Michael Strevens, Depth: An Account of Scientific Explanation. [REVIEW] Notre Dame Philosophical Reviews 2010 (6).score: 30.0
  23. John Hartmann, Dewey and Rorty: Pragmatism and Postmodernism.score: 30.0
    My job has been made easier tonight, given that Larry Hickman has already done most of the ‘heavy lifting’ for me. I think his paper is an excellent and convincing intervention into this debate, and one of the problems for me in constructing my talk has been that our discussions have forced me to rethink what I wanted to say. Given my Continental biases, I had expected to come out on Rorty’s side; in writing this paper, however, things have become (...)
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  24. John Hartmann, Power and Resistance in the Later Foucault.score: 30.0
    The eight year gap between the publication of Volume I (1976) of The History of Sexuality and Volumes II and III (1984) has provoked a fair amount of debate within scholarly circles. Does it represent a fundamental rethinking of the analysis of power and knowledge begun in Volume I, or is something else at stake? And what does the shift in emphasis regarding power and resistance after these eight years ultimately entail? James Miller’s influential, if often flawed, biography of Foucault (...)
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  25. Vincenzo Crupi & Stephan Hartmann (2010). Formal and Empirical Methods in Philosophy of Science. In Friedrich Stadler et al (ed.), The Present Situation in the Philosophy of Science. Springer.score: 30.0
    This essay addresses the methodology of philosophy of science and illustrates how formal and empirical methods can be fruitfully combined. Special emphasis is given to the application of experimental methods to confirmation theory and to recent work on the conjunction fallacy, a key topic in the rationality debate arising from research in cognitive psychology. Several other issue can be studied in this way. In the concluding section, a brief outline is provided of three further examples.
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  26. Dirk Hartmann (2004). Neurophysiology and Freedom of the Will. Poiesis and Praxis 2 (4):275-284.score: 30.0
    In the first two sections of the paper, some basic terminological distinctions regarding “freedom of the will” as a philosophical problem are expounded and discussed. On this basis, the third section focuses on the examination of two neurophysiological experiments (one by Benjamin Libet and one by William Grey Walter), which in recent times are often interpreted as providing an empirical vindication of determinism and, accordingly, a refutation of positions maintaining freedom of the will. It will be argued that both experiments (...)
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  27. Stephan Hartmann (1995). Models as a Tool for Theory Construction: Some Strategies of Preliminary Physics. In William Herfel et al (ed.), Theories and Models in Scientific Processes. Rodopi.score: 30.0
    Theoretical models are an important tool for many aspects of scientific activity. They are used, i.a., to structure data, to apply theories or even to construct new theories. But what exactly is a model? It turns out that there is no proper definition of the term "model" that covers all these aspects. Thus, I restrict myself here to evaluate the function of models in the research process while using "model" in the loose way physicists do. To this end, I distinguish (...)
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  28. Roman Frigg & Stephan Hartmann (2005). Scientific Models. In Sahotra Sarkar et al (ed.), The Philosophy of Science: An Encyclopedia, Vol. 2. Routledge.score: 30.0
    Models are of central importance in many scientific contexts. The roles the MIT bag model of the nucleon, the billiard ball model of a gas, the Bohr model of the atom, the Gaussian-chain model of a polymer, the Lorenz model of the atmosphere, the Lotka- Volterra model of predator-prey interaction, agent-based and evolutionary models of social interaction, or general equilibrium models of markets play in their respective domains are cases in point.
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  29. Sebastian Lutz & Stephan Hartmann (2010). Conventional and Objective Invariance: Debs and Redhead on Symmetry. [REVIEW] Metascience 19:15-23.score: 30.0
    This review is a critical discussion of three main claims in Debs and Redhead’s thought-provoking book Objectivity, Invariance, and Convention. These claims are: (i) Social acts impinge upon formal aspects of scientific representation; (ii) symmetries introduce the need for conventional choice; (iii) perspectival symmetry is a necessary and sufficient condition for objectivity, while symmetry simpliciter fails to be necessary.
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  30. Lefteris Farmakis & Stephan Hartmann (2005). Review of Inference to the Best Explanation by Peter Lipton. [REVIEW] Notre Dame Philosophical Reviews 2005 (6).score: 30.0
  31. Dennis Dieks, Wenceslao Gonzalo, Thomas Uebel, Stephan Hartmann & Marcel Weber (eds.) (2011). Explanation, Prediction, and Confirmation. Springer.score: 30.0
    This volume, the second in the Springer series Philosophy of Science in a European Perspective, contains selected papers from the workshops organised by the ESF ...
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  32. Z. Fritz & J. Fuld (2010). Ethical Issues Surrounding Do Not Attempt Resuscitation Orders: Decisions, Discussions and Deleterious Effects. Journal of Medical Ethics 36 (10):593-597.score: 30.0
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  33. Roman Frigg, Stephan Hartmann & Cyrille Imbert (2009). Models and Simluations. Synthese 169 (3).score: 30.0
    Special issue. With contributions by Anouk Barberouse, Sarah Francescelli and Cyrille Imbert, Robert Batterman, Roman Frigg and Julian Reiss, Axel Gelfert, Till Grüne-Yanoff, Paul Humphreys, James Mattingly and Walter Warwick, Matthew Parker, Wendy Parker, Dirk Schlimm, and Eric Winsberg.
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  34. Stephan Hartmann, Gabriella Pigozzi & Jan Sprenger (2010). Reliable Methods of Judgment Aggregation. Journal for Logic and Computation 20:603--617.score: 30.0
    The aggregation of consistent individual judgments on logically interconnected propositions into a collective judgment on the same propositions has recently drawn much attention. Seemingly reasonable aggregation procedures, such as propositionwise majority voting, cannot ensure an equally consistent collective conclusion. The literature on judgment aggregation refers to such a problem as the \textit{discursive dilemma}. In this paper we assume that the decision which the group is trying to reach is factually right or wrong. Hence, we address the question of how good (...)
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  35. Foad Dizadji-Bahmani, Roman Frigg & Stephan Hartmann (forthcoming). Confirmation and Reduction: A Bayesian Account. Synthese 179:2 (2011).score: 30.0
    Various scientific theories stand in a reductive relation to each other. In a recent article, we have argued that a generalized version of the Nagel-Schaffner model (GNS) is the right account of this relation. In this article, we present a Bayesian analysis of how GNS impacts on confirmation. We formalize the relation between the reducing and the reduced theory before and after the reduction using Bayesian networks, and thereby show that, post-reduction, the two theories are confirmatory of each other. We (...)
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  36. Stephan Hartmann (2001). Effective Field Theories, Reductionism and Scientific Explanation. Studies in History and Philosophy of Science Part B 32 (2):267-304.score: 30.0
    Effective field theories have been a very popular tool in quantum physics for almost two decades. And there are good reasons for this. I will argue that effective field theories share many of the advantages of both fundamental theories and phenomenological models, while avoiding their respective shortcomings. They are, for example, flexible enough to cover a wide range of phenomena, and concrete enough to provide a detailed story of the specific mechanisms at work at a given energy scale. So will (...)
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  37. Nicolai Hartmann (1949). German Philosophy in the Last ten Years. Mind 58 (232):413-433.score: 30.0
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  38. Stephan Hartmann (2008). Modeling in Philosophy of Science. In W. K. Essler & M. Frauchiger (eds.), Representation, Evidence, and Justification: Themes From Suppes. Ontos Verlag.score: 30.0
    Models are a principle instrument of modern science. They are built, applied, tested, compared, revised and interpreted in an expansive scientific literature. Throughout this paper, I will argue that models are also a valuable tool for the philosopher of science. In particular, I will discuss how the methodology of Bayesian Networks can elucidate two central problems in the philosophy of science. The first thesis I will explore is the variety-of-evidence thesis, which argues that the more varied the supporting evidence, the (...)
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  39. Jan Sprenger, Carlo Martini & Stephan Hartmann (2009). Consensual Decision-Making Among Epistemic Peers. Episteme 6 (2):110-129.score: 30.0
    This paper focuses on the question of how to resolve disagreement and uses the Lehrer-Wagner model as a formal tool for investigating consensual decision-making. The main result consists in a general definition of when agents treat each other as epistemic peers (Kelly 2005; Elga 2007), and a theorem vindicating the “equal weight view” to resolve disagreement among epistemic peers. We apply our findings to an analysis of the impact of social network structures on group deliberation processes, and we demonstrate their (...)
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  40. Luc Bovens & Stephan Hartmann (2005). Why There Cannot Be a Single Probabilistic Measure of Coherence. Erkenntnis 63 (3):361-374.score: 30.0
    Bayesian Coherence Theory of Justification or, for short, Bayesian Coherentism, is characterized by two theses, viz. (i) that our degree of confidence in the content of a set of propositions is positively affected by the coherence of the set, and (ii) that coherence can be characterized in probabilistic terms. There has been a longstanding question of how to construct a measure of coherence. We will show that Bayesian Coherentism cannot rest on a single measure of coherence, but requires a vector (...)
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  41. Stephan Hartmann (1998). Idealization in Quantum Field Theory. In Niall Shanks (ed.), Idealization in Contemporary Physics.score: 30.0
    This paper explores various functions of idealizations in quantum field theory. To this end it is important to first distinguish between different kinds of theories and models of or inspired by quantum field theory. Idealizations have pragmatic and cognitive functions. Analyzing a case-study from hadron physics, I demonstrate the virtues of studying highly idealized models for exploring the features of theories with an extremely rich structure such as quantum field theory and for gaining some understanding of the physical processes in (...)
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  42. Stephan Hartmann & Wouter Meijs (2012). Walter the Banker: The Conjunction Fallacy Reconsidered. Synthese 184 (1):73-87.score: 30.0
    In a famous experiment by Tversky and Kahneman (Psychol Rev 90:293–315, 1983), featuring Linda the bank teller, the participants assign a higher probability to a conjunction of propositions than to one of the conjuncts, thereby seemingly committing a probabilistic fallacy. In this paper, we discuss a slightly different example featuring someone named Walter, who also happens to work at a bank, and argue that, in this example, it is rational to assign a higher probability to the conjunction of suitably chosen (...)
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  43. Dov Gabbay, Stephan Hartmann & John Woods (eds.) (forthcoming). Handbook of the History and Philosophy of Logic, Vol. 10: Inductive Logic. Elsevier.score: 30.0
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  44. Janie M. Harden Fritz, Ronald C. Arnett & Michele Conkel (1999). Organizational Ethical Standards and Organizational Commitment. Journal of Business Ethics 20 (4):289 - 299.score: 30.0
    Organizations interested in employee ethics compliance face the problem of conflict between employee and organizational ethical standards. Socializing new employees is one way of assuring compliance. Important for longer term employees as well as new ones, however, is making those standards visible and then operable in the daily life of an organization. This study, conducted in one large organization, found that, depending on organizational level, awareness of an organization's ethical standards is predicted by managerial adherence to and organizational compliance with (...)
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  45. Mark Colyvan & Stephan Hartmann (2010). Reduction and the Special Sciences. Erkenntnis 73:3 (special issue).score: 30.0
  46. Douglas Hartmann & Joseph Gerteis (2005). Dealing with Diversity: Mapping Multiculturalism in Sociological Terms. Sociological Theory 23 (2):218-240.score: 30.0
    Since the 1960s, a variety of new ways of addressing the challenges of diversity in American society have coalesced around the term "multiculturalism." In this article, we impose some clarity on the theoretical debates that surround divergent visions of difference. Rethinking multiculturalism from a sociological point of view, we propose a model that distinguishes between the social (associational) and cultural (moral) bases for social cohesion in the context of diversity. The framework allows us to identify three distinct types of multiculturalism (...)
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  47. Stephan Hartmann & Roman Frigg (2006). Models in Science. In Ed Zalta (ed.), The Stanford Encyclopedia of Philosophy. Stanford.score: 30.0
    Models are of central importance in many scientific contexts. The centrality of models such as the billiard ball model of a gas, the Bohr model of the atom, the MIT bag model of the nucleon, the Gaussian-chain model of a polymer, the Lorenz model of the atmosphere, the Lotka-Volterra model of predator-prey interaction, the double helix model of DNA, agent-based and evolutionary models in the social sciences, or general equilibrium models of markets in their respective domains are cases in point. (...)
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  48. Luc Bovens & Stephan Hartmann (2003). Solving the Riddle of Coherence. Mind 112 (448):601-633.score: 30.0
    A coherent story is a story that fits together well. This notion plays a central role in the coherence theory of justification and has been proposed as a criterion for scientific theory choice. Many attempts have been made to give a probabilistic account of this notion. A proper account of coherence must not start from some partial intuitions, but should pay attention to the role that this notion is supposed to play within a particular context. Coherence is a property of (...)
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  49. Stephan Hartmann (2005). Transdisziplinarität – Eine Herausforderung für Die Wissenschaftstheorie. In Gereon Wolters & Martin Carrier (eds.), Homo Sapiens und Homo Faber. de Gruyter.score: 30.0
    Die zeitgenössische Wissenschaftstheorie leidet unter ähnlichen Problemen wie die Wissenschaften, mit denen sie sich befasst. So nimmt auch in der Wissenschaftstheorie die Spezialisierung stark zu, und bei vielen der behandelten Fragestellungen geht es einzig um Detailprobleme, die sich aus einem sich verselbständigenden Diskussionszusammenhang entwickelt haben, wobei der Bezug zur jeweiligen Ausgangsfrage und die größere philosophische Perspektive leicht aus den Augen verloren geht.
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  50. Patrick Suppes & Stephan Hartmann (2010). Entanglement, Upper Probabilities and Decoherence in Quantum Mechanics. In M. Suaráz et al (ed.), EPSA Philosophical Issues in the Sciences: Launch of the European Philosophy of Science Association. Springer.score: 30.0
    Quantum mechanical entangled configurations of particles that do not satisfy Bell’s inequalities, or equivalently, do not have a joint probability distribution, are familiar in the foundational literature of quantum mechanics. Nonexistence of a joint probability measure for the correlations predicted by quantum mechanics is itself equivalent to the nonexistence of local hidden variables that account for the correlations (for a proof of this equivalence, see Suppes and Zanotti, 1981). From a philosophical standpoint it is natural to ask what sort of (...)
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  51. John Hartmann, The Aporia of Affection in Husserl's Analyses Concerning Passive and Active Synthesis.score: 30.0
    Husserl defines affection in the Analyses1 as "the allure given to consciousness, the particular pull that an object given to consciousness exercises on the ego."2 That something becomes prominent for the ego implies that the object exerts a kind of 'pull' upon the ego, a demanding of egoic attention. This affective pull is relative in force, such that the same object can be experienced in varying modes of prominence and affective relief depending upon bodily comportment, egoic attentiveness, etc. The phenomenon (...)
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  52. Stephan Hartmann (2001). Mechanisms, Coherence, and Theory Choice in the Cognitive Neurosciences. In Peter McLaughlin, Peter Machamer & Rick Grush (eds.), Theory and Method in the Neurosciences. Pittsburgh University Press.score: 30.0
    Let me first state that I like Antti Revonsuo’s discussion of the various methodological and interpretational problems in neuroscience. It shows how careful and methodologically reflected scientists have to proceed in this fascinating field of research. I have nothing to add here. Furthermore, I am very sympathetic towards Revonsuo’s general proposal to call for a Philosophy of Neuroscience that stresses foundational issues, but also focuses on methodological and explanatory strategies. In a footnote of his paper, Revonsuo complains – as many (...)
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  53. F. Stadler, D. Dieks, W. Gonzales, S. Hartmann, T. Uebel & M. Weber (eds.) (2010). The Present Situation in the Philosophy of Science. Springer.score: 30.0
    This volume is a serious attempt to open up the subject of European philosophy of science to real thought, and provide the structural basis for the ...
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  54. Luc Bovens & Stephan Hartmann (2000). Coherence, Belief Expansion and Bayesian Networks. In BaralC (ed.), Proceedings of the 8th International Workshop on Non-Monotonic Reasoning, NMR'2000.score: 30.0
    We construct a probabilistic coherence measure for information sets which determines a partial coherence ordering. This measure is applied in constructing a criterion for expanding our beliefs in the face of new information. A number of idealizations are being made which can be relaxed by an appeal to Bayesian Networks.
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  55. Stephan Hartmann (1999). Models and Stories in Hadron Physics. In Margaret Morrison & Mary Morgan (eds.), Models as Mediators.score: 30.0
    Fundamental theories are hard to come by. But even if we had them, they would be too complicated to apply. Quantum chromodynamics (QCD) is a case in point. This theory is supposed to govern all strong interactions, but it is extremely hard to apply and test at energies where protons, neutrons and ions are the effective degrees of freedom. Instead, scientists typically use highly idealized models such as the MIT Bag Model or the Nambu Jona-Lasinio Model to account for phenomena (...)
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  56. Stephan Hartmann, Luc Bovens & Hoefer (eds.) (2008). Nancy Cartwright's Philosophy of Science. Routledge.score: 30.0
    Nancy Cartwright is one of the most distinguished and influential contemporary philosophers of science. Despite the profound impact of her work, until now there has not been a systematic exposition of Cartwright's philosophy of science nor a collection of articles that contains in-depth discussions of the major themes of her philosophy. This book is devoted to a critical assessment of Cartwright's philosophy of science and contains contributions from Cartwright's champions and critics. Broken into three parts, the book begins by addressing (...)
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  57. Peter Joseph Fritz (forthcoming). On the V(I)Erge: Jean‐Luc Nancy, Christianity, and Incompletion. Heythrop Journal.score: 30.0
    This article explores how Jean-Luc Nancy attempts to gain critical traction on Christianity by proscribing thinking of completion. First, it describes Nancy's deconstruction of Christianity as stemming from his aesthetic redirection of Heidegger's thinking of finitude. Second, it further details Nancy's noetic declension of Heidegger via Kant and Lyotard, where the imagination and aesthetic communication are deemed impossible. Third, it examines Nancy's treatment of paintings of the Virgin Mary who, for Nancy, exemplifies his brand of incompletion. Nancy's work on Mary (...)
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  58. Luc Bovens & Stephan Hartmann (2002). Bayesian Networks and the Problem of Unreliable Instruments. Philosophy of Science 69 (1):29-72.score: 30.0
    We appeal to the theory of Bayesian Networks to model different strategies for obtaining confirmation for a hypothesis from experimental test results provided by less than fully reliable instruments. In particular, we consider (i) repeated measurements of a single test consequence of the hypothesis, (ii) measurements of multiple test consequences of the hypothesis, (iii) theoretical support for the reliability of the instrument, and (iv) calibration procedures. We evaluate these strategies on their relative merits under idealized conditions and show some surprising (...)
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  59. Stephan Hartmann, Luc Bovens & Carl Hoefer (eds.) (2008). Nancy Cartwright's Philosophy of Science. Routledge.score: 30.0
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  60. Luc Bovens & Stephan Hartmann, Utilitarianism, Degressive Proportionality and the Constitution of a Federal Assembly.score: 30.0
    A federal assembly consists of a number of representatives for each of the nations (states, Länder, cantons,...) that make up the federation. How many representatives should each nation receive? What makes this issue worth quibbling about is that the model of representation that is instituted will have an impact on the welfare distribution over the nations in the federation that will ensue over due course. We will investigate what models of representation yield welfare distributions that score higher on a utilitarian (...)
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  61. Stephan Hartmann & Luc Bovens, The Variety-of-Evidence Thesis and the Reliability of Instruments: A Bayesian-Network Approach.score: 30.0
    The variety of evidence thesis in confirmation theory states that more varied supporting evidence confirms a hypothesis to a greater degree than less varied evidence. Under a very plausible interpretation of this thesis, positive test results from multiple independent instruments confirm a hypothesis to a greater degree than positive test results from a single instrument. We invoke Bayesian Networks to model confirmation on grounds of evidence that is obtained from less than fully reliable instruments and show that the variety of (...)
     
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  62. Stephan Hartmann, Who's Afraid of Nagelian Reduction?score: 30.0
    We reconsider the Nagelian theory of reduction and argue that, contrary to a widely held view, it is the right analysis of intertheoretic reduction. The alleged difficulties of the theory either vanish upon closer inspection or turn out to be substantive philosophical questions rather than knock-down arguments.
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  63. Luc Bovens & Stephan Hartmann (2001). Belief Expansion, Contextual Fit and the Reliability of Information Sources. In V. Akman (ed.), Modeling and Using Context. Springer.score: 30.0
    We develop a probabilistic criterion for belief expansion that is sensitive to the degree of contextual fit of the new information to our belief set as well as to the reliability of our information source. We contrast our approach with the success postulate in AGM-style belief revision and show how the idealizations in our approach can be relaxed by invoking Bayesian-Network models.
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  64. Stephan Hartmann & Luc Bovens (2003). Solving the Riddle of Coherence. Mind 112:601-634.score: 30.0
    A coherent story is a story that fits together well. This notion plays a central role in the coherence theory of justification and has been proposed as a criterion for scientific theory choice. Many attempts have been made to give a probabilistic account of this notion. A proper account of coherence must not start from some partial intuitions, but should pay attention to the role that this notion is supposed to play within a particular context. Coherence is a property of (...)
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  65. Thomas Fritz & Stefan Koelsch (2008). The Role of Semantic Association and Emotional Contagion for the Induction of Emotion with Music. Behavioral and Brain Sciences 31 (5):579-580.score: 30.0
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  66. Rolf Haenni & Stephan Hartmann (2006). Causality, Uncertainty and Ignorance. Minds and Machines 16 (3).score: 30.0
    Special issue. With contributions by Malcolm Forster, Rocio Garcia-Rotamero and Ulrich Hoffrage, Christian Jakob, Kevin Korb and Erik Nyberg, Michael Smithson, Daniel Steel, Brad Weslake, and Jon Williamson.
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  67. Stephan Hartmann (1995). Simulation. In Jürgen Mittelstrass (ed.), Enzyklopädie Philosophie und Wissenschaftstheorie, Vol. 3. Metzler.score: 30.0
    Simulation (von lat. simulare, engl. simulation, franz. simulation, ital. simulazione), Bezeichnung für die Nachahmung eines Prozesses durch einen anderen Prozeß. Beide Prozesse laufen auf einem bestimmten System ab. Simuliertes u. simulierendes System (der Simulator in der Kybernetik) können dabei auf gleichen oder unterschiedlichen Substraten realisiert sein.
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  68. Claus Beisbart, Luc Bovens & Stephan Hartmann (2005). A Utilitarian Assessment of Alternative Decision Rules in the Council of Ministers. European Union Politics 6 (4):395-419.score: 30.0
    We develop a utilitarian framework to assess different decision rules for the European Council of Ministers. The proposals to be decided on are conceptualized as utility vectors and a probability distribution is assumed over the utilities. We first show what decision rules yield the highest expected utilities for different means of the probability distri- bution. For proposals with high mean utility, simple bench- mark rules (such as majority voting with proportional weights) tend to outperform rules that have been proposed in (...)
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  69. John Hartmann, Dewey, Mitra, and the “Technological Proletariat:” Democratizing the Information Revolution.score: 30.0
    In his 1939 essay, “Creative Democracy – The Task Before Us,” John Dewey described democracy as “a way of personal life controlled not merely by faith in human nature in general but by faith in the capacity of human beings for intelligent judgment and action if proper conditions are furnished.”1 While this may seem an odd definition, it is emblematic of the reconstructive tendency in Dewey’s philosophy. If we are to achieve a truly democratic society, we must reconstruct democracy itself (...)
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  70. Dirk Hartmann & Rainer Lange (2000). Epistemology Culturalized. Journal for General Philosophy of Science 31 (1):75-107.score: 30.0
    The anti-metaphysical intentions of naturalism can be respected without abandoning the project of a normative epistemology. The central assumptions of naturalism imply that (1.) the distinction between action and behaviour is spurious, and (2.) epistemology cannot continue to be a normative project. Difficulties with the second implication have been adressed by Normative Naturalism, but without violating the naturalistic consensus, it can only appreciate means-end-rationality. However, this does not suffice to justify its own implicit normative pretensions. According to our diagnosis, naturalism (...)
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  71. Nicolai Hartmann (1953/1975). New Ways of Ontology. Regnery.score: 30.0
  72. Stephan Hartmann & Jürgen Mittelstrass (2000). Physics is Part of Culture and the Basis of Technology. In DPG (ed.), Physics - Physics Research: Topics, Significance and Prospects. DPG.score: 30.0
    Fundamental aspects of modern life owe their existence to the achievements of scientific reason. In other words, science is an integral element of the modern world and simultaneously the epitome of the rational nature of a technical culture that makes up the essence of the modern world. Without science, the modern world would lose its very nature and modern society its future. Right from the start, physics forms the core of European scientific development. It is the original paradigm of science, (...)
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  73. Luc Bovens, Branden Fitelson, Stephan Hartmann & Josh Snyder (2002). Too Odd (Not) to Be True? A Reply to Olsson. British Journal for the Philosophy of Science 53 (4):539-563.score: 30.0
    Corroborating Testimony, Probability and Surprise’, Erik J. Olsson ascribes to L. Jonathan Cohen the claims that if two witnesses provide us with the same information, then the less probable the information is, the more confident we may be that the information is true (C), and the stronger the information is corroborated (C*). We question whether Cohen intends anything like claims (C) and (C*). Furthermore, he discusses the concurrence of witness reports within a context of independent witnesses, whereas the witnesses in (...)
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  74. Luc Bovens & Stephan Hartmann (2006). An Impossibility Result for Coherence Rankings. Philosophical Studies 128 (1):77-91.score: 30.0
    If we receive information from multiple independent and partially reliable information sources, then whether we are justified to believe these information items is affected by how reliable the sources are, by how well the information coheres with our background beliefs and by how internally coherent the information is. We consider the following question. Is coherence a separable determinant of our degree of belief, i.e. is it the case that the more coherent the new information is, the more justified we are (...)
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  75. Stephan Hartmann & Luc Bovens (2006). An Impossibility Result for Coherence Rankings. Philosophical Studies 128:77-91.score: 30.0
    If we receive information from multiple independent and partially reliable information sources, then whether we are justified to believe these information items is affected by how reliable the sources are, by how well the information coheres with our background beliefs and by how internally coherent the information is. We consider the following question. Is coherence a separable determinant of our degree of belief, i.e. is it the case that the more coherent the new information is, the more justified we are (...)
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  76. Stephan Hartmann & L. Bovens (2001). A Probabilistic Theory of the Coherence of an Information Set. In BeckermannAnsgar (ed.), Argument & Analysis: Proceedings of the 4th International Congress of the Society for Analytical Philosophy. Bielefeld.score: 30.0
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  77. Stephan Hartmann, Claus Beisbart & Luc Bovens (2005). A Utilitarian Assessment of Alternative Decision Rules in the Council of Ministers. European Union Politics 6 (4):395-419.score: 30.0
    We develop a utilitarian framework to assess different decision rules for the European Council of Ministers. The proposals to be decided on are conceptualized as utility vectors and a probability distribution is assumed over the utilities. We first show what decision rules yield the highest expected utilities for different means of the probability distribution. For proposals with high mean utility, simple benchmark rules (such as majority voting with proportional weights) tend to outperform rules that have been proposed in the political (...)
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  78. Stephan Hartmann (2000). J. Cushing: Philosophical Concepts in Physics. [REVIEW] Erkenntnis 52:133-137.score: 30.0
    This book successfully achieves to serve two different purposes. On the one hand, it is a readable physics-based introduction into the philosophy of science, written in an informal and accessible style. The author, himself a professor of physics at the University of Notre Dame and active in the philosophy of science for almost twenty years, carefully develops his metatheoretical arguments on a solid basis provided by an extensive survey along the lines of the historical development of physics. On the other (...)
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  79. Katharina Hartmann & Thomas Ede Zimmermann (2001). Introduction to Natural Language Semantics, Henriëtte de Swart. Journal of Logic, Language and Information 10 (4):511-518.score: 30.0
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  80. Stephan Hartmann (2008). Modeling High-Temperature Superconductors: Correspondence at Bay? In Lena Soler (ed.), Rethinking Scientific Change. Stabilities, Ruptures, Incommensurabilities? Springer.score: 30.0
    How does a predecessor theory relate to its successor? According to Heinz Post’s General Correspondence Principle, the successor theory has to account for the em- pirical success of its predecessor. After a critical discussion of this principle, I outline and discuss various kinds of correspondence relations that hold between successive scientific theories. I then look in some detail at a case study from contemporary physics: the various proposals for a theory of high-temperature superconductivity. The aim of this case study is (...)
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  81. Stephan Hartmann & Gabriella Pigozzi (2006). Merging Judgments and the Problem of Truth-Tracking. In Jerome Lang & Ulle Endriss (eds.), Computational Social Choice 2006. University of Amsterdam.score: 30.0
    The problem of the aggregation of consistent individual judgments on logically interconnected propositions into a collective judgment on the same propositions has recently drawn much attention. The dificulty lies in the fact that a seemingly reasonable aggregation procedure, such as propositionwise majority voting, cannot ensure an equally consistent collective outcome. The literature on judgment aggregation refers to such dilemmas as the discursive paradox. So far, three procedures have been proposed to overcome the paradox: the premise-based and conclusion-based procedures on the (...)
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  82. Dirk Hartmann (1996). Protowissenschaft Und Rekonstruktion. Journal for General Philosophy of Science 27 (1):55 - 69.score: 30.0
    Protoscience and Reconstruction. A central concept of the constructivist philosophy of science is the term 'protoscience'. From an orthodox point of view, protosciences are bound to give the so called 'measurement-theoretical Apriori' ('meßtheoretisches Apriori') for a science. Protophysics for example (operationally) defines the quantities 'length', 'time', and 'mass'. Thereby it yields some basic physical laws, which usually are regarded as "laws of nature", but in fact follow already from the definitions of the basic quantities. The attempt to establish other protodisciplines (...)
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  83. Claus Beisbart & Stephan Hartmann (2010). Welfarist Evaluations of Decision Rules Under Interstate Utility Dependencies. Social Choice and Welfare 34 (2):315-344.score: 30.0
    We provide welfarist evaluations of decision rules for federations of states and consider models, under which the interests of people from different states are stochastically dependent. We concentrate on two welfarist standards; they require that the expected utility for the federation be maximized or that the expected utilities for people from different states be equal. We discuss an analytic result that characterizes the decision rule with maximum expected utility, set up a class of models that display interstate dependencies and run (...)
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  84. Claus Beisbart & Stephan Hartmann (2006). Welfarism and the Assessment of Social Decision Rules. In Jerome Lang & Ulle Endriss (eds.), Computational Social Choice 2006. University of Amsterdam.score: 30.0
    The choice of a social decision rule for a federal assembly affects the welfare distribution within the federation. But which decision rules can be recommended on welfarist grounds? In this paper, we focus on two welfarist desiderata, viz. (i) maximizing the expected utility of the whole federation and (ii) equalizing the expected utilities of people from different states in the federation. We consider the European Union as an example, set up a probabilistic model of decision making and explore how different (...)
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  85. Claus Beisbart & Stephan Hartmann (forthcoming). Computersimulationen in der Angewandten Politischen Philosophie - Ein Beispiel. In Carl-Friedrich Gethmann (ed.), Lebenswelt und Wissenschaft. Meiner.score: 30.0
    In den vergangenen Jahren hat die Europäische Union (EU) wiederholt versucht, ihre Institutionen zu reformieren. Als der Entwurf für eine Europäische Verfassung und später der Vertrag von Lissabon ausgehandelt wurden, betraf einer der meistdiskutiertesten Streitpunkte die Frage, nach welcher Entscheidungsregel der EU-Ministerrat abstimmen sollte. Diese Frage ist eine genuin normative Frage. Deshalb sollten auch politische Philosophen und Ethiker etwas zu dieser Frage beitragen können. Im folgenden wollen wir uns dieser Herausforderung stellen und alternative Entscheidungsregeln für den EU-Ministerrat bewerten. Dabei erweisen (...)
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  86. Stephan Hartmann & Luc Bovens, Bayesian Networks in Philosophy.score: 30.0
    There is a long philosophical tradition of addressing questions in philosophy of science and epistemology by means of the tools of Bayesian probability theory (see Earman (1992) and Howson and Urbach (1993)). In the late '70s, an axiomatic approach to conditional independence was developed within a Bayesian framework. This approach in conjunction with developments in graph theory are the two pillars of the theory of Bayesian Networks, which is a theory of probabilistic reasoning in artificial intelligence. The theory has been (...)
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  87. Stephan Hartmann (2002). Kohärenter Explanatorischer Pluralismus. In Wolfram Hogrebe (ed.), Grenzen und Grenzüberschreitungen. Sinclair Press.score: 30.0
    Die Frage, was eine wissenschaftliche Erklärung ist, stellt seit mehr als einem halben Jahrhundert ein zentrales Thema der Wissenschaftsphilosophie dar. Die heutige Diskussion begann mit einer richtungsweisenden Arbeit von Carl Hempel im Jahre 1942 über den Erklärungsbegriff in der Geschichtswissenschaft. In dieser Arbeit gab Hempel, frühere Überlegungen von John Stuart Mill, Karl Popper und anderen präzisierend, eine formale Definition der Erklärung eines singulären Faktums.1 Mit seiner dem zugrunde liegenden Auffassung, dass die Wissenschaften sehr wohl in der Lage sind, Erklärungen zu (...)
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  88. Stephan Hartmann (1995). Modelle Und Forschungsdynamik: Strategien der Zeitgenössischen Physik. Praxis der Naturwissenschaften - Physik 1:33-41.score: 30.0
    An Beispielen aus der Entwicklung der Elementarteilchenphysik wird aufgezeigt, welche Rolle Modelle im Entstehungsprozess einer physikalischen Theorie spielen.
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  89. Klaus Hartmann (1966). On Taking the Transcendental Turn. The Review of Metaphysics 20 (2):223 - 249.score: 30.0
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  90. Herb Hartmann (2010). Rethinking the Western Understanding of the Self. International Philosophical Quarterly 50 (4):526-530.score: 30.0
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  91. Martin Hartmann (2007). Schwerpunkt: Stanley Cavells Philosophie. Deutsche Zeitschrift für Philosophie 55 (2):220-224.score: 30.0
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  92. Ernest Hartmann (2000). The Waking-to-Dreaming Continuum and the Effects of Emotion. Behavioral and Brain Sciences 23 (6):947-950.score: 30.0
    The three-dimensional “AIM model” proposed by Hobson et al. is imaginative. However, many kinds of data suggest that the “dimensions” are not orthogonal, but closely correlated. An alternative view is presented in which mental functioning is considered as a continuum, or a group of closely linked continua, running from focused waking activity at one end, to dreaming at the other. The effect of emotional state is increasingly evident towards the dreaming end of the continuum. [Hobson et al.; Nielsen; Solms].
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  93. Thomas Uebel, Stephan Hartmann, Wenceslao Gonzalez, Marcel Weber, Dennis Dieks & Friedrich Stadler (eds.) (2010). The Present Situation in the Philosophy of Science. Springer.score: 30.0
    This volume is a serious attempt to open up the subject of European philosophy of science to real thought, and provide the structural basis for the ...
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  94. Janie Harden Fritz (2011). Casuistry: Case-Based Reasoning for the Ethical Journalist. Journal of Mass Media Ethics 26 (1):88-92.score: 30.0
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  95. Stephan Hartmann (2000). James T. Cushing, Philosophical Concepts in Physics. The Historical Relation Between Philosophy and Scientific Theories. Erkenntnis 52 (1):133-137.score: 30.0
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  96. Stephan Hartmann, Rainer Müller & Hartmut Wiesner (1998). Bose-Einstein-Kondensation Ultrakalter Atome. In W. Schneider (ed.), Wege in der Physikdidaktik, Band IV. Palm & Enke.score: 30.0
    Am 14. Juli 1995 berichteten die angesehene Wissenschaftszeitschrift Science sowie die berühmte amerikanische Tageszeitung New York Times – auf dem Titelblatt – gleichzeitig über die erstmalige experimentelle Erzeugung eines Bose-Einstein-Kondensates aus einem Gas schwach wechselwirkender Alkaliatome am Joint Institute for Laboratory Astrophy- sics (JILA) in Boulder/Colorado (USA). Was war an dieser Leistung so bedeutsam, dass man sich entschloss, sie auf jene Weise bekannt zu geben?
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  97. Klaus Hartmann (1971). Hegel's Doctrine of Absolute Spirit as a Tractatus Theologico-Politicus. Philosophy and History 4 (2):174-176.score: 30.0
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  98. Stephan Hartmann & Rainer Müller (1999). Kopenhagen Contra Bohm – Eine Herausforderung für den Realismus? Praxis der Naturwissenschaften - Physik 4:12-17.score: 30.0
    Der bedeutende amerikanische Logiker und Philosoph W.V.O. Quine hat die folgende Frage ins Zentrum seines Schaffens gestellt: "Wie kommen wir von unseren Sinnesdaten zu Theorien über die Welt?“ Bei der Beantwortung dieser Frage tritt ein grundlegendes Problem auf, das damit zusammenhängt, dass uns immer nur ein endlicher Satz an Informationen über die Welt zugänglich ist. Jedes Experiment liefert z. B. nur eine endliche Anzahl von Messpunkten.
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  99. Stephan Hartmann (2002). On Correspondence. Studies in History and Philosophy of Science Part B 33 (1):79-94.score: 30.0
    This paper is an essay review of Steven French and Harmke Kamminga (eds.), Correspondence, Invariance and Heuristics. Essays in Honour of Heinz Post (Dordrecht: Kluwer, 1993). I distinguish a varity of correspondence relations between scientific theories (exemplified by cases from the book under review) and examine how one can make sense of the the prevailing continuity in scientific theorizing.
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