Results for 'Herb Hartmann'

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  1.  15
    Rethinking the Western Understanding of the Self.Herb Hartmann - 2010 - International Philosophical Quarterly 50 (4):526-530.
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  2. Kategorie Und Kategorialität Historisch-Systematische Untersuchungen Zum Begriff der Kategorie Im Philosophischen Denken : Festschrift Für Klaus Hartmann Zum 65. Geburtstag.Klaus Hartmann, Dietmar Koch & Klaus Bort - 1990
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  3. Symposium Zum Gedenken an Nicolai Hartmann.Nicolai Hartmann & Günther Patzig - 1982
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  4.  12
    Translator’s Introduction: Hartmann on the Mystery and Value of Art.Nicolai Hartmann - 2014 - In Aesthetics. De Gruyter.
  5. Hartmann.Nicolai Hartmann & Ricardo Guillermo Maliandi - 1967 - Centro Editor de América Latina.
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  6.  10
    Chronologische Übersicht der Schriften von Eduard von Hartmann.Alma Hartmann - 1912 - Kant-Studien 17 (1-3):501-520.
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  7.  5
    v. Hartmann, Geschichte der Metaphysik.E. Von Hartmann - 1901 - Kant-Studien 5 (1-3).
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  8. Hartmann, M. u. Gerlach, W., Naturwissenschaftliche Erkenntnis und ihre Methoden. [REVIEW]E. Hartmann - 1940 - Philosophisches Jahrbuch 53:477-478.
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  9. Hartmann, N., Das Problem des geistigen Seins. [REVIEW]E. Hartmann - 1934 - Philosophisches Jahrbuch 47:413-414.
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  10. Hartmann, N., Zum Problem d. Realitätsgegebenheit. [REVIEW]E. Hartmann - 1933 - Philosophisches Jahrbuch 46:231-232.
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  11. Beiträge Zur Einheit von Bildung Und Sprache Im Geistigen Sein. Festschrift Zum 80. Geburtstag von Ernst Otto. Hrsg. Von Gerhard Haselbach Und Günter Hartmann[REVIEW]Gerhard Haselbach, Ernst Otto & G. Jnter Hartmann - 1957 - W. De Gruyter.
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  12.  18
    Max Scheler †.Frederic Tremblay & Nicolai Hartmann - 2019 - In Moritz Kalckreuth, Gregor Schmieg & Friedrich Hausen (eds.), Nicolai Hartmanns Neue Ontologie und die Philosophische Anthropologie: Menschliches Leben in Natur und Geist. Berlin, Germany: pp. 263-271.
    This is a translation of the obituary that Nicolai Hartmann wrote for his colleague and friend, Max Scheler, after the latter's premature death in 1928. In this eulogy, after emphasizing the unfortunate incompleteness of Scheler's lifework, his keeping abreast with the development of the various sciences, his power of intuition, and the fact that he was a philosopher of life without for that matter having a Lebensphilosophie, Hartmann chronologically recapitulates Scheler's life achievements, beginning with his career in Jena, (...)
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  13. Bayesian Epistemology.Luc Bovens & Stephan Hartmann - 2003 - Oxford: Oxford University Press.
    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 (...)
  14. Bayesian Philosophy of Science.Jan Sprenger & Stephan Hartmann - 2019 - Oxford University Press.
    Jan Sprenger and Stephan Hartmann offer a fresh approach to central topics in philosophy of science, including causation, explanation, evidence, and scientific models. Their Bayesian approach uses the concept of degrees of belief to explain and to elucidate manifold aspects of scientific reasoning.
     
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  15. Judgment Aggregation and the Problem of Tracking the Truth.Stephan Hartmann & Jan Sprenger - 2012 - Synthese 187 (1):209-221.
    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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  16.  40
    The Megarian and the Aristotelian Concept of Possibility: A Contribution to the History of the Ontological Problem of Modality.Nicolai Hartmann, Frederic Tremblay & Keith R. Peterson - 2017 - Axiomathes 27 (2):209-223.
    This is a translation of Nicolai Hartmann’s article “Der Megarische und der Aristotelische Möglichkeitsbegriff: ein Beitrag zur Geschichte des ontologischen Modalitätsproblems,” first published in 1937. In this article, Hartmann defends an interpretation of the Megarian conception of possibility, which found its clearest form in Diodorus Cronus’ expression of it and according to which “only what is actual is possible” or “something is possible only if it is actual.” Hartmann defends this interpretation against the then dominant Aristotelian conception (...)
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  17.  8
    Au-delà de la citoyenneté: Hobbes et le problème de l'autorité.Karlfriedrich Herb - 2004 - Rivista di Storia Della Filosofia 1.
    Karlfriedrich Herb shows that the new theory of representation in Leviathan implies a rejection of direct democracy, which was still referred to, and active as a political model, in The Elements of Law and De cive. Since the social contract gives full authority to the sovereign, there is no longer any reason to consider democracy as the original form of all governments. Democracy thus plays no part in the definition of the citizen’s liberty, and consequently the liberty of the (...)
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  18.  29
    How Is Critical Ontology Possible? Toward the Foundation of the General Theory of the Categories, Part One (1923).Nicolai Hartmann & Keith R. Peterson - 2012 - Axiomathes 22 (3):315-354.
    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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  19. Coherence, Truth and Testimony.Ulrich Gähde & Stephan Hartmann - 2005 - Erkenntnis 63 (3).
    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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  20. Formal Modeling in Social Epistemology. [REVIEW]Stephan Hartmann, Carlo Martini & Jan Sprenger (eds.) - 2010 - Logic Journal of the IGPL (special issue).
    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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  21. The No Alternatives Argument.Richard Dawid, Stephan Hartmann & Jan Sprenger - 2015 - British Journal for the Philosophy of Science 66 (1):213-234.
    Scientific theories are hard to find, and once scientists have found a theory, H, they often believe that there are not many distinct alternatives to H. But is this belief justified? What should scientists believe about the number of alternatives to H, and how should they change these beliefs in the light of new evidence? These are some of the questions that we will address in this article. We also ask under which conditions failure to find an alternative to H (...)
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  22. Starbucks and the Third Wave.John Hartmann - 2011 - In Scott F. Parker & Michael W. Austin (eds.), Coffee - Philosophy for Everyone: Grounds for Debate. Wiley-Blackwell.
  23. Bayesian Epistemology.Alan Hájek & Stephan Hartmann - 2010 - In J. Dancy et al (ed.), A Companion to Epistemology. Blackwell.
    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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  24. Solving the Riddle of Coherence.Luc Bovens & Stephan Hartmann - 2003 - Mind 112 (448):601-634.
    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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  25. The World as a Process: Simulations in the Natural and Social Sciences.Stephan Hartmann - 1996 - In Rainer Hegselmann (ed.), Modelling and Simulation in the Social Sciences from the Philosophy of Science Point of View.
    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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  26. Bayesian Epistemology.Stephan Hartmann & Jan Sprenger - 2010 - In Duncan Pritchard & Sven Bernecker (eds.), The Routledge Companion to Epistemology. London: Routledge. pp. 609-620.
    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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  27. Paradoxes of Capitalism.Martin Hartmann & Axel Honneth - 2006 - Constellations 13 (1):41-58.
  28.  81
    Models and Stories in Hadron Physics.Stephan Hartmann - 1999 - In Margaret Morrison & Mary Morgan (eds.), Models as Mediators: Perspectives on Natural and Social Science. pp. 52--326.
    Fundamental theories are hard to come by. But even if we had them, they would be too complicated to apply. Quantum chromodynamics 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 in (...)
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  29. Consensual Decision-Making Among Epistemic Peers.Stephan Hartmann, Carlo Martini & Jan Sprenger - 2009 - Episteme 6 (2):110-129.
    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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  30. Power and Resistance in the Later Foucault.John Hartmann - manuscript
    FEEL FREE TO CITE - IGNORE IN-PDF REQUEST -/- 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? (...)
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  31. Models as a Tool for Theory Construction: Some Strategies of Preliminary Physics.Stephan Hartmann - 1995 - In William Herfel, Władysław Krajewski, Ilkka Niiniluoto & Ryszard Wójcicki (eds.), Theories and Models in Scientific Processes. Rodopi. pp. 49-67.
    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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  32.  95
    Models, Mechanisms, and Coherence.Matteo Colombo, Stephan Hartmann & Robert van Iersel - 2015 - British Journal for the Philosophy of Science 66 (1):181-212.
    Life-science phenomena are often explained by specifying the mechanisms that bring them about. The new mechanistic philosophers have done much to substantiate this claim and to provide us with a better understanding of what mechanisms are and how they explain. Although there is disagreement among current mechanists on various issues, they share a common core position and a seeming commitment to some form of scientific realism. But is such a commitment necessary? Is it the best way to go about mechanistic (...)
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  33.  47
    Urban Agriculture of the Future: An Overview of Sustainability Aspects of Food Production in and on Buildings. [REVIEW]Kathrin Specht, Rosemarie Siebert, Ina Hartmann, Ulf B. Freisinger, Magdalena Sawicka, Armin Werner, Susanne Thomaier, Dietrich Henckel, Heike Walk & Axel Dierich - 2014 - Agriculture and Human Values 31 (1):33-51.
    Innovative forms of green urban architecture aim to combine food, production, and design to produce food on a larger scale in and on buildings in urban areas. It includes rooftop gardens, rooftop greenhouses, indoor farms, and other building-related forms. This study uses the framework of sustainability to understand the role of ZFarming in future urban food production and to review the major benefits and limitations. The results are based on an analysis of 96 documents published in accessible international resources. The (...)
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  34. Walter the Banker: The Conjunction Fallacy Reconsidered. [REVIEW]Stephan Hartmann & Wouter Meijs - 2012 - Synthese 184 (1):73-87.
    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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  35.  64
    On the Emergence of Descriptive Norms.Ryan Muldoon, Chiara Lisciandra, Cristina Bicchieri, Stephan Hartmann & Jan Sprenger - 2014 - Politics, Philosophy and Economics 13 (1):3-22.
    A descriptive norm is a behavioral rule that individuals follow when their empirical expectations of others following the same rule are met. We aim to provide an account of the emergence of descriptive norms by first looking at a simple case, that of the standing ovation. We examine the structure of a standing ovation, and show it can be generalized to describe the emergence of a wide range of descriptive norms.
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  36. Bayesian Networks and the Problem of Unreliable Instruments.Luc Bovens & Stephan Hartmann - 2000 - Philosophy of Science 69 (1):29-72.
    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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  37.  60
    Moving Along the Mental Time Line Influences the Processing of Future Related Words.Matthias Hartmann & Fred W. Mast - 2012 - Consciousness and Cognition 21 (3):1558-1562.
    concepts like numbers or time are thought to be represented in the more concrete domain of space and the sensorimotor system. For example, thinking of past or future events has a physical manifestation in backward or forward body sway, respectively. In the present study, we investigated the reverse effect: can passive whole-body motion influence the processing of temporal information? Participants were asked to categorize verbal stimuli to the concepts future or past while they were displaced forward and backward , or (...)
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  38.  68
    The Present Situation in the Philosophy of Science.Thomas Uebel, Stephan Hartmann, Wenceslao Gonzalez, Marcel Weber, Dennis Dieks & Friedrich Stadler (eds.) - 2010 - Springer.
    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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  39. Too Odd (Not) to Be True? A Reply to Olsson.Luc Bovens, Branden Fitelson, Stephan Hartmann & Josh Snyder - 2002 - British Journal for the Philosophy of Science 53 (4):539-563.
    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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  40. Reliable Methods of Judgment Aggregation.Stephan Hartmann, Gabriella Pigozzi & Jan Sprenger - 2007 - Journal for Logic and Computation 20:603--617.
    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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  41. Introduction.Claus Beisbart & Stephan Hartmann - 2011 - In Claus Beisbart & Stephan Hartmann (eds.), Probabilities in Physics. Oxford University Press.
  42. Scientific Models.Stephan Hartmann & Roman Frigg - 2005 - In SarkarSahotra (ed.), The Philosophy of Science: An Encyclopedia, Vol. 2. Routledge.
    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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  43.  11
    Die Erkenntnis Im Lichte der Ontologie.Nicolai Hartmann - 2013 - Felix Meiner Verlag.
    Dem Text der Ausgabe liegt die vierte Auflage von 1837 zugrunde, die die ausgereifteste Fassung darstellt. Die Abweichungen der drei ersten Auflagen sind vollständig dokumentiert.
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  44. Entanglement, Upper Probabilities and Decoherence in Quantum Mechanics.Patrick Suppes & Stephan Hartmann - 2009 - In M. Suaráz et al (ed.), EPSA Philosophical Issues in the Sciences: Launch of the European Philosophy of Science Association. Springer. pp. 93--103.
    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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  45.  94
    Idealization in Quantum Field Theory.Stephan Hartmann - 1998 - In Niall Shanks (ed.), Idealization in Contemporary Physics. pp. 99-122.
    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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  46.  90
    The Weight of Competence Under a Realistic Loss Function.Stephan Hartmann & Jan Sprenger - 2010 - Logic Journal of the IGPL 18 (2):346-352.
    In many scientific, economic and policy-related problems, pieces of information from different sources have to be aggregated. Typically, the sources are not equally competent. This raises the question of how the relative weights and competences should be related to arrive at an optimal final verdict. Our paper addresses this question under a more realistic perspective of measuring the practical loss implied by an inaccurate verdict.
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  47.  59
    Garry Kasparov is a Cyborg, or What ChessBase Teaches Us About Technology.J. Hartmann - 2008 - In Benjamin Hale (ed.), Philosophy Looks at Chess. Open Court Press. pp. 39--64.
  48.  34
    Husserl und Kant: Eine Untersuchung Uber Husserls Verhaltnis zu Kant und zum Neukantianismus.Klaus Hartmann & Iso Kern - 1966 - Philosophical Quarterly 16 (65):368.
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  49. Coherence, Belief Expansion and Bayesian Networks.Luc Bovens & Stephan Hartmann - 2000 - In BaralC (ed.), Proceedings of the 8th International Workshop on Non-Monotonic Reasoning, NMR'2000.
    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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  50.  76
    Editorial: Formal Epistemology Meets Experimental Philosophy. [REVIEW]Stephan Hartmann, Chiara Lisciandra & Edouard Machery - 2013 - Synthese 190 (8):1333-1335.
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