Results for 'Jon Larreina'

943 found
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  1.  46
    Robotics and Well-Being.Maria Isabel Aldinhas Ferreira, Ana S. Aníbal, P. Beardsley, Selmer Bringsjord, Paulo S. Carvalho, Raja Chatila, Vladimir Estivill-Castro, Nicola Fabiano, Sarah R. Fletcher, Rodolphe Gelin, Rikhiya Ghosh, Naveen Sundar Govindarajulu, John C. Havens, Teegan L. Johnson, Endre E. Kadar, Jon Larreina, Pedro U. Lima, Stuti Thapa Magar, Bertram F. Malle, André Martins, Michael P. Musielewicz, A. Mylaeus, Matthew Peveler, Matthias Scheutz, João Silva Sequeira, R. Siegwart, B. Tranter & A. Vempati (eds.) - 2019 - Springer Verlag.
    This book highlights some of the most pressing safety, ethical, legal and societal issues related to the diverse contexts in which robotic technologies apply. Focusing on the essential concept of well-being, it addresses topics that are fundamental not only for research, but also for industry and end-users, discussing the challenges in a wide variety of applications, including domestic robots, autonomous manufacturing, personal care robots and drones.
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  2.  46
    Value change, reprogenetic technologies, and the axiological underpinnings of reproductive choice.Jon Rueda - 2025 - Bioethics 39 (5):425-434.
    Value change is a phenomenon that is gaining increasing attention in ethical analyses of technologies. However, a comprehensive study of how reprogenetic technologies and values coevolve is lacking. To remedy this gap, in this overview article, I address the relationship between reprogenetics and value change. This contribution thus argues for the importance of investigating the phenomenon of value change in relation to the technological controversies discussed in bioethics. To meet this goal, I begin by clarifying, first, how technologies shape reproductive (...)
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  3. Sour Grapes: Studies in the Subversion of Rationality.Jon Elster - 1983 - New York: Cambridge University Press.
    Drawing on philosophy, political and social theory, decision-theory, economics, psychology, history and literature, Jon Elster's classic book Sour Grapes continues and complements the arguments of his acclaimed earlier book, Ulysses and the Sirens. Elster begins with an analysis of the notation of rationality, before tackling the notions of irrational behavior, desires and belief with highly sophisticated arguments that subvert the orthodox theories of rational choice. Presented in a fresh series livery and with a specially commissioned preface written by Richard Holton, (...)
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  4. In Defence of Objective Bayesianism.Jon Williamson - 2010 - Oxford University Press.
    Objective Bayesianism is a methodological theory that is currently applied in statistics, philosophy, artificial intelligence, physics and other sciences. This book develops the formal and philosophical foundations of the theory, at a level accessible to a graduate student with some familiarity with mathematical notation.
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  5. The Algebra of Intensional Logics.Jon Michael Dunn - 1966 - Dissertation, University of Pittsburgh
     
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  6.  54
    Segmentation, attention and phenomenal visual objects.Jon Driver, Greg Davis, Charlotte Russell, Massimo Turatto & Elliot Freeman - 2001 - Cognition 80 (1-2):61-95.
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  7. (1 other version)Explaining Social Behavior: More Nuts and Bolts for the Social Sciences.Jon Elster - 2007 - Cambridge University Press.
    This book is an expanded and revised edition of the author's critically acclaimed volume Nuts and Bolts for the Social Sciences. In twenty-six succinct chapters, Jon Elster provides an account of the nature of explanation in the social sciences. He offers an overview of key explanatory mechanisms in the social sciences, relying on hundreds of examples and drawing on a large variety of sources - psychology, behavioral economics, biology, political science, historical writings, philosophy and fiction. Written in accessible and jargon-free (...)
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  8. Nuts and Bolts for the Social Sciences.Jon Elster - 1989 - Cambridge University Press.
    This 1989 book is intended as an introductory survey of the philosophy of the social sciences. It is essentially a work of exposition which offers a toolbox of mechanisms - nuts and bolts, cogs and wheels - that can be used to explain complex social phenomena. Within a brief compass, Jon Elster covers a vast range of topics. His point of departure is the conflict we all face between our desires and our opportunities. How can rational choice theory help us (...)
     
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  9. Explaining Technical Change: A Case Study in the Philosophy of Science.Jon Elster - 1983 - Universitetsforlaget.
    In this volume, first published in 1983, Jon Elster approaches the study of technical change from an epistemological perspective.
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  10. Einstein's introduction of photons: Argument by analogy or deduction from the phenomena?Jon Dorling - 1971 - British Journal for the Philosophy of Science 22 (1):1-8.
  11. Qualitative differences in the representation of abstract versus concrete words: Evidence from the visual-world paradigm.Jon Andoni Duñabeitia, Alberto Avilés, Olivia Afonso, Christoph Scheepers & Manuel Carreiras - 2009 - Cognition 110 (2):284-292.
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  12.  42
    Do transposed-letter similarity effects occur at a morpheme level? Evidence for morpho-orthographic decomposition.Jon Andoni Duñabeitia, Manuel Perea & Manuel Carreiras - 2007 - Cognition 105 (3):691-703.
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  13.  44
    Walker Percy on the Cartesian Ideal of Knowing.Jon M. Young - 1990 - Renascence 42 (3):123-140.
  14.  22
    Impediments to universal preference-based default theories.Jon Doyle & Michael P. Wellman - 1991 - Artificial Intelligence 49 (1-3):97-128.
  15.  83
    Ulysses Unbound: Studies in Rationality, Precommitment, and Constraints.Jon Elster - 2000 - New York: Cambridge University Press.
    Common sense suggests that it is always preferable to have more options than fewer, and better to have more knowledge than less. This provocative book argues that, very often, common sense fails. Sometimes it is simply the case that less is more; people may benefit from being constrained in their options or from being ignorant. The three long essays that constitute this book revise and expand the ideas developed in Jon Elster's classic study Ulysses and the Sirens. It is not (...)
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  16.  69
    Making Sense of Marx.Jon Elster - 1985 - Cambridge University Press.
    A systematic, critical examination of Karl Marx's social theories and their philosophical presuppositions. Through extensive discussions of the texts Jon Elster offers a balanced and detailed account of Marx's views that is at once sympathetic, undogmatic and rigorous. Equally importantly he tries to assess 'what is living and what is dead in the philosophy of Marx', using the analytical resources of contemporary social science and philosophy. Professor Elster insists on the need for microfoundations in social science and provides a systematic (...)
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  17.  97
    Bayesian Conditionalization Resolves Positivist/Realist Disputes.Jon Dorling - 1992 - Journal of Philosophy 89 (7):362.
  18.  94
    Length contraction and clock synchronisation: The empirical equivalence of the Einsteinian and lorentzian theories.Jon Dorling - 1968 - British Journal for the Philosophy of Science 19 (1):67-69.
  19.  32
    The Conceptual Foundations of Contemporary Relativity Theory.Jon Dorling - 1973 - Philosophical Review 82 (2):258.
  20.  26
    Two theses of knowledge representation: Language restrictions, taxonomic classification, and the utility of representation services.Jon Doyle & Ramesh S. Patil - 1991 - Artificial Intelligence 48 (3):261-297.
  21.  52
    Distributional structure in language: Contributions to noun–verb difficulty differences in infant word recognition.Jon A. Willits, Mark S. Seidenberg & Jenny R. Saffran - 2014 - Cognition 132 (3):429-436.
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  22.  57
    Crossmodal spatial attention: Evidence from human performance.Jon Driver & Charles Spence - 2004 - In Charles Spence & Jon Driver, Crossmodal Space and Crossmodal Attention. Oxford University Press. pp. 179--220.
  23. Analyzing Aseity.Sarah Adams & Jon Robson - 2020 - Canadian Journal of Philosophy 50 (2):251-267.
    The doctrine of divine aseity has played a significant role in the development of classical theism. However, very little attention has been paid in recent years to the question of how precisely aseity should be characterized. We argue that this neglect is unwarranted since extant characterizations of this central divine attribute quickly encounter difficulties. In particular, we present a new argument to show that the most widely accepted contemporary account of aseity is inconsistent. We then consider the prospects for developing (...)
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  24.  22
    Cement of Society.Jon Elster - 1991 - Journal of Philosophy 88 (12):728-738.
  25. Probabilistic Theories.Jon Williamson - 2009 - In Helen Beebee, Christopher Hitchcock & Peter Menzies, The Oxford Handbook of Causation. Oxford University Press UK.
     
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  26. Crossmodal spatial attention: evidence from human performance.Jon Driver & Spence & Charles - 2004 - In Charles Spence & Jon Driver, Crossmodal Space and Crossmodal Attention. Oxford University Press.
  27.  47
    An Introduction to Karl Marx.Jon Elster - 2012 - Cambridge University Press.
    A concise and comprehensive introduction to Marx's social, political and economic thought for the beginning student. Jon Elster surveys in turn each of the main themes of marxist thought: methodology, alienation, economics, exploitation, historical materialism, classes, politics, and ideology; in a final chapter he assesses 'what is living and what is dead in the philosophy of Marx'. The emphasis throughout is on the analytical structure of Marx's arguments and the approach is at once sympathetic, undogmatic, and rigorous.
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  28. Norms of revenge.Jon Elster - 1990 - Ethics 100 (4):862-885.
  29.  30
    The sage and the way: Spinoza's ethics of freedom.Jon Wetlesen - 1979 - Assen: Gorcum.
  30. Mechanistic Theories of Causality Part I.Jon Williamson - 2011 - Philosophy Compass 6 (6):421-432.
    Part I of this paper introduces a range of mechanistic theories of causality, including process theories and the complex-systems theories, and some of the problems they face. Part II argues that while there is a decisive case against a purely mechanistic analysis, a viable theory of causality must incorporate mechanisms as an ingredient, and describes one way of providing an analysis of causality which reaps the rewards of the mechanistic approach without succumbing to its pitfalls.
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  31. Mechanistic theories of causality.Jon Williamson - unknown
    After introducing a range of mechanistic theories of causality and some of the problems they face, I argue that while there is a decisive case against a purely mechanistic analysis, a viable theory of causality must incorporate mechanisms as an ingredient. I describe one way of providing an analysis of causality which reaps the rewards of the mechanistic approach without succumbing to its pitfalls.
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  32.  40
    A Bayesian Account of Establishing.Jon Williamson - 2022 - British Journal for the Philosophy of Science 73 (4):903-925.
    When a proposition is established, it can be taken as evidence for other propositions. Can the Bayesian theory of rational belief and action provide an account of establishing? I argue that it can, but only if the Bayesian is willing to endorse objective constraints on both probabilities and utilities, and willing to deny that it is rationally permissible to defer wholesale to expert opinion. I develop a new account of deference that accommodates this latter requirement.
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  33.  76
    Probability logic.Jon Williamson - unknown
    Practical reasoning requires decision—making in the face of uncertainty. Xenelda has just left to go to work when she hears a burglar alarm. She doesn’t know whether it is hers but remembers that she left a window slightly open. Should she be worried? Her house may not be being burgled, since the wind or a power cut may have set the burglar alarm off, and even if it isn’t her alarm sounding she might conceivably be being burgled. Thus Xenelda can (...)
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  34. Why Frequentists and Bayesians Need Each Other.Jon Williamson - 2013 - Erkenntnis 78 (2):293-318.
    The orthodox view in statistics has it that frequentism and Bayesianism are diametrically opposed—two totally incompatible takes on the problem of statistical inference. This paper argues to the contrary that the two approaches are complementary and need to mesh if probabilistic reasoning is to be carried out correctly.
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  35. Dispositional versus epistemic causality.Jon Williamson - 2006 - Minds and Machines 16 (3):259-276.
    I put forward several desiderata that a philosophical theory of causality should satisfy: it should account for the objectivity of causality, it should underpin formalisms for causal reasoning, it should admit a viable epistemology, it should be able to cope with the great variety of causal claims that are made, and it should be ontologically parsimonious. I argue that Nancy Cartwright’s dispositional account of causality goes part way towards meeting these criteria but is lacking in important respects. I go on (...)
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  36.  60
    Borges on Immortality.Jon Stewart - 1993 - Philosophy and Literature 17 (2):295-301.
  37.  49
    In philosophical defence of Bayesian rationality.Jon Dorling - 1983 - Behavioral and Brain Sciences 6 (2):249-250.
  38.  88
    What is church's thesis? An outline.Jon Doyle - 2002 - Minds and Machines 12 (4):519-520.
  39.  64
    Four approaches to the reference class problem.Christian Wallmann & Jon Williamson - unknown
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  40. The applicability of bayesian convergence-of-opinion theorems to the case of actual scientific inference.Jon Dorling & Dorothy Edgington - 1976 - British Journal for the Philosophy of Science 27 (2):160-161.
  41.  24
    Setting the empirical record straight: Acceptability judgments appear to be reliable, robust, and replicable.Jon Sprouse & Diogo Almeida - 2017 - Behavioral and Brain Sciences 40.
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  42.  20
    Archetypal ontology: new directions in analytical psychology.Jon Mills - 2023 - New York, NY: Routledge. Edited by Erik Goodwyn.
    In this novel re-examination of the archetype construct, philosopher Jon Mills and psychiatrist Erik Goodwyn engage in spirited dialogue on the origins, nature, and scope of what archetypes actually constitute, their relation to the greater questions of psyche and worldhood, and their relevance for Jungian studies and analytical psychology today. Arguably the most definitive feature of Jung's metapsychology is his theory of archetypes. It is the fulcrum on which his analytical depth psychology rests. With recent trends in post-Jungian and neo-Jungian (...)
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  43. An Introduction to Karl Marx.Jon Elster - 1988 - Philosophy 63 (246):545-546.
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  44.  21
    Local justice and interpersonal comparisons.Jon Elster - 1991 - In Jon Elster & John Roemer, Interpersonal Comparisons of Well-Being. New York: Cambridge University Press. pp. 98--126.
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  45. (1 other version)La democrazia deliberativa [Deliberative democracy].Jon Elster - 2009 - la Società Degli Individui 36:33-50.
    L’articolo esamina le qualità della democrazia deliberativa a partire dal ri­ferimento a espressioni storiche di questa: nelle istituzioni ateniesi del quin­to-quarto secolo a. C., nella Convenzione Federale statunitense del 1788, negli Stati Generali della Rivoluzione francese, in varie esperienze lo­cali odierne. Stabiliti tre modelli di democrazia e tre criteri per la deliberazione , la questione da affrontare è se la forma deliberativa di democrazia sia un buon sistema politico. La risposta è sì, purché si verifichino tre con­dizioni: intensità della motivazione (...)
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  46.  72
    (1 other version)Justifying the Principle of Indifference.Jon Williamson - 2018 - European Journal for the Philosophy of Science.
    This paper presents a new argument for the Principle of Indifference. This argument can be thought of in two ways: as a pragmatic argument, justifying the principle as needing to hold if one is to minimise worst-case expected loss, or as an epistemic argument, justifying the principle as needing to hold in order to minimise worst-case expected inaccuracy. The question arises as to which interpretation is preferable. I show that the epistemic argument contradicts Evidentialism and suggest that the relative plausibility (...)
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  47.  79
    Constitutionalism and Democracy.Jon Elster & Rune Slagstad (eds.) - 1988 - Cambridge University Press.
    The eleven essays in this volume, supplemented by an editorial introduction, centre around three overlapping problems. First, why would a society want to limit its own sovereign power by imposing constitutional constraints on democratic decision-making? Second, what are the contributions of democracy and constitutions to efficient government? Third, what are the relations among democracy, constitutionalism, and private property? This comprehensive discussion of the problems inherent in constitutional democracy will be of interest to students in a variety of social sciences. It (...)
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  48. Inductive influence.Jon Williamson - 2007 - British Journal for the Philosophy of Science 58 (4):689 - 708.
    Objective Bayesianism has been criticised for not allowing learning from experience: it is claimed that an agent must give degree of belief ½ to the next raven being black, however many other black ravens have been observed. I argue that this objection can be overcome by appealing to objective Bayesian nets, a formalism for representing objective Bayesian degrees of belief. Under this account, previous observations exert an inductive influence on the next observation. I show how this approach can be used (...)
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  49. How Uncertain Do We Need to Be?Jon Williamson - 2014 - Erkenntnis 79 (6):1249-1271.
    Expert probability forecasts can be useful for decision making . But levels of uncertainty escalate: however the forecaster expresses the uncertainty that attaches to a forecast, there are good reasons for her to express a further level of uncertainty, in the shape of either imprecision or higher order uncertainty . Bayesian epistemology provides the means to halt this escalator, by tying expressions of uncertainty to the propositions expressible in an agent’s language . But Bayesian epistemology comes in three main varieties. (...)
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  50. Objective Bayesianism with predicate languages.Jon Williamson - 2008 - Synthese 163 (3):341-356.
    Objective Bayesian probability is often defined over rather simple domains, e.g., finite event spaces or propositional languages. This paper investigates the extension of objective Bayesianism to first-order logical languages. It is argued that the objective Bayesian should choose a probability function, from all those that satisfy constraints imposed by background knowledge, that is closest to a particular frequency-induced probability function which generalises the λ = 0 function of Carnap’s continuum of inductive methods.
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