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David Kaplan [45]David M. Kaplan [35]David Michael Kaplan [9]David S. Kaplan [3]
Daniel Kaplan [3]David E. Kaplan [2]D. Kaplan [2]David R. Kaplan [2]

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David M. Kaplan
University of North Texas
David Kaplan
University of California, Los Angeles
Daniel Kaplan
Concordia University
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  1. Demonstratives: An Essay on the Semantics, Logic, Metaphysics and Epistemology of Demonstratives and other Indexicals.David Kaplan - 1989 - In Joseph Almog, John Perry & Howard Wettstein (eds.), Themes From Kaplan. Oxford University Press. pp. 481-563.
  2. Quantifying in.David Kaplan - 1968 - Synthese 19 (1-2):178-214.
  3. Afterthoughts.David Kaplan - 1989 - In J. Almog, J. Perry & H. Wettstein (eds.), Themes From Kaplan. Oxford University Press. pp. 565-614.
  4. The Explanatory Force of Dynamical and Mathematical Models in Neuroscience: A Mechanistic Perspective.David Michael Kaplan & Carl F. Craver - 2011 - Philosophy of Science 78 (4):601-627.
    We argue that dynamical and mathematical models in systems and cognitive neuro- science explain (rather than redescribe) a phenomenon only if there is a plausible mapping between elements in the model and elements in the mechanism for the phe- nomenon. We demonstrate how this model-to-mechanism-mapping constraint, when satisfied, endows a model with explanatory force with respect to the phenomenon to be explained. Several paradigmatic models including the Haken-Kelso-Bunz model of bimanual coordination and the difference-of-Gaussians model of visual receptive fields are (...)
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  5. Are More Details Better? On the Norms of Completeness for Mechanistic Explanations.Carl F. Craver & David M. Kaplan - 2020 - British Journal for the Philosophy of Science 71 (1):287-319.
    Completeness is an important but misunderstood norm of explanation. It has recently been argued that mechanistic accounts of scientific explanation are committed to the thesis that models are complete only if they describe everything about a mechanism and, as a corollary, that incomplete models are always improved by adding more details. If so, mechanistic accounts are at odds with the obvious and important role of abstraction in scientific modelling. We respond to this characterization of the mechanist’s views about abstraction and (...)
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  6. Words.David Kaplan - 1990 - Aristotelian Society Supplementary Volume 64 (1):93-119.
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  7. On the logic of demonstratives.David Kaplan - 1979 - Journal of Philosophical Logic 8 (1):81 - 98.
  8. Dthat.David Kaplan - 1978 - In Peter Cole (ed.), Syntax and Semantics. Academic Press. pp. 221--243.
  9. Explanation and description in computational neuroscience.David Michael Kaplan - 2011 - Synthese 183 (3):339-373.
    The central aim of this paper is to shed light on the nature of explanation in computational neuroscience. I argue that computational models in this domain possess explanatory force to the extent that they describe the mechanisms responsible for producing a given phenomenon—paralleling how other mechanistic models explain. Conceiving computational explanation as a species of mechanistic explanation affords an important distinction between computational models that play genuine explanatory roles and those that merely provide accurate descriptions or predictions of phenomena. It (...)
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  10. How to Russell a Frege-Church.David Kaplan - 1975 - Journal of Philosophy 72 (19):716-729.
  11. Dynamical Models: An Alternative or Complement to Mechanistic Explanations?David M. Kaplan & William Bechtel - 2011 - Topics in Cognitive Science 3 (2):438-444.
    Abstract While agreeing that dynamical models play a major role in cognitive science, we reject Stepp, Chemero, and Turvey's contention that they constitute an alternative to mechanistic explanations. We review several problems dynamical models face as putative explanations when they are not grounded in mechanisms. Further, we argue that the opposition of dynamical models and mechanisms is a false one and that those dynamical models that characterize the operations of mechanisms overcome these problems. By briefly considering examples involving the generation (...)
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  12. Bob and Carol and Ted and Alice.David Kaplan - 1973 - In Jaakko Hintikka (ed.), Approaches to Natural Language. D. Reidel Publishing. pp. 490--518.
  13. How to demarcate the boundaries of cognition.David Michael Kaplan - 2012 - Biology and Philosophy 27 (4):545-570.
    Advocates of extended cognition argue that the boundaries of cognition span brain, body, and environment. Critics maintain that cognitive processes are confined to a boundary centered on the individual. All participants to this debate require a criterion for distinguishing what is internal to cognition from what is external. Yet none of the available proposals are completely successful. I offer a new account, the mutual manipulability account, according to which cognitive boundaries are determined by relationships of mutual manipulability between the properties (...)
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  14. Words on words.David Kaplan - 2011 - Journal of Philosophy 108 (9):504-529.
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  15. Opacity.David Kaplan - 1986 - In Lewis Edwin Hahn & Paul Arthur Schilpp (eds.), The Philosophy of W. V. Quine. Open Court. pp. 229-289.
  16. A paradox regained.D. Kaplan & R. Montague - 1960 - Notre Dame Journal of Formal Logic 1 (3):79-90.
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    Decoding the Brain: Neural Representation and the Limits of Multivariate Pattern Analysis in Cognitive Neuroscience.J. Brendan Ritchie, David Michael Kaplan & Colin Klein - 2019 - British Journal for the Philosophy of Science 70 (2):581-607.
    Since its introduction, multivariate pattern analysis, or ‘neural decoding’, has transformed the field of cognitive neuroscience. Underlying its influence is a crucial inference, which we call the decoder’s dictum: if information can be decoded from patterns of neural activity, then this provides strong evidence about what information those patterns represent. Although the dictum is a widely held and well-motivated principle in decoding research, it has received scant philosophical attention. We critically evaluate the dictum, arguing that it is false: decodability is (...)
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  18. A Problem in Possible Worlds Semantics.David Kaplan - 1995 - In Walter Sinnott-Armstrong, Diana Raffman & Nicholas Asher (eds.), Modality, Morality and Belief: Essays in Honor of Ruth Barcan Marcus. Cambridge University Press. pp. 41-52.
  19. An Idea of Donnellan.David Kaplan - 2011 - In Joseph Almog & Paolo Leonardi (eds.), Having In Mind: The Philosophy of Keith Donnellan. Oxford, but (c) David Kaplan. pp. 122-175.
    This is a story about three of my favorite philosophers—Donnellan, Russell, and Frege—about how Donnellan’s concept of having in mind relates to ideas of the others, and especially about an aspect of Donnellan’s concept that has been insufficiently discussed: how this epistemic state can be transmitted from one person to another.
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  20. Transworld Heir Lines.David Kaplan - 1979 - In Michael J. Loux (ed.), The Possible and the actual: readings in the metaphysics of modality. Ithaca, N.Y.: Cornell University Press. pp. 88-109.
  21. Decoding the Brain: Neural Representation and the Limits of Multivariate Pattern Analysis in Cognitive Neuroscience.J. Brendan Ritchie, David Michael Kaplan & Colin Klein - 2016 - British Journal for the Philosophy of Science:axx023.
    Since its introduction, multivariate pattern analysis, or ‘neural decoding’, has transformed the field of cognitive neuroscience. Underlying its influence is a crucial inference, which we call the decoder’s dictum: if information can be decoded from patterns of neural activity, then this provides strong evidence about what information those patterns represent. Although the dictum is a widely held and well-motivated principle in decoding research, it has received scant philosophical attention. We critically evaluate the dictum, arguing that it is false: decodability is (...)
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  22. Foundations of Intensional Logic.David Kaplan - 1964 - Dissertation, Ucla
  23. Thoughts on demonstratives.David Kaplan - 1990 - In Palle Yourgrau (ed.), Demonstratives. Oxford University Press. pp. 34-49.
  24.  93
    Moving parts: the natural alliance between dynamical and mechanistic modeling approaches.David Michael Kaplan - 2015 - Biology and Philosophy 30 (6):757-786.
    Recently, it has been provocatively claimed that dynamical modeling approaches signal the emergence of a new explanatory framework distinct from that of mechanistic explanation. This paper rejects this proposal and argues that dynamical explanations are fully compatible with, even naturally construed as, instances of mechanistic explanations. Specifically, it is argued that the mathematical framework of dynamics provides a powerful descriptive scheme for revealing temporal features of activities in mechanisms and plays an explanatory role to the extent it is deployed for (...)
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  25. Hempel and Oppenheim on explanation.Rolf Eberle, David Kaplan & Richard Montague - 1961 - Philosophy of Science 28 (4):418-428.
    Hempel and Oppenheim, in their paper 'The Logic of Explanation', have offered an analysis of the notion of scientific explanation. The present paper advances considerations in the light of which their analysis seems inadequate. In particular, several theorems are proved with roughly the following content: between almost any theory and almost any singular sentence, certain relations of explainability hold.
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  26. What is Russell's Theory of Descriptions?David Kaplan - 1970 - In Wolfgang Yourgrau & Allen D. Breck (eds.), Physics, Logic, and History. Plenum Press. pp. 277-295.
  27.  36
    Explanation and Integration in Mind and Brain Science.David Michael Kaplan (ed.) - 2017 - Oxford, United Kingdom: Oxford University Press.
    Is the relationship between psychology and neuroscience one of autonomy or mutual constraint and integration? This volume includes new papers from leading philosophers seeking to address this issue by deepening our understanding of the similarities and differences between the explanatory patterns employed across these domains.
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  28.  15
    Food philosophy: an introduction.David M. Kaplan - 2020 - New York: Columbia University Press.
    Food is a challenging subject. There is little consensus about how and what we should produce and consume. It is not even clear what food is or whether people have similar experiences of it. On one hand, food is recognized as a basic need, if not a basic right. On the other hand, it is hard to generalize about it given the wide range of practices and cuisines, and the even wider range of tastes. This book is an introduction to (...)
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  29. Towards a Mechanistic Philosophy of Neuroscience.Carl F. Craver & David M. Kaplan - 2011 - In Steven French & Juha Saatsi (eds.), Continuum Companion to the Philosophy of Science. London: Continuum. pp. 268.
  30.  41
    The Philosophy of Food.David M. Kaplan (ed.) - 2012 - University of California Press.
    This book explores food from a philosophical perspective, bringing together sixteen leading philosophers to consider the most basic questions about food: What is it exactly? What should we eat? How do we know it is safe? How should food be distributed? What is good food? David M. Kaplan’s erudite and informative introduction grounds the discussion, showing how philosophers since Plato have taken up questions about food, diet, agriculture, and animals. However, until recently, few have considered food a standard subject for (...)
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  31. Reading ‘On Denoting’ on its Centenary.David Kaplan - 2005 - Mind 114 (456):933-1003.
    Part 1 sets out the logical/semantical background to ‘On Denoting’, including an exposition of Russell's views in Principles of Mathematics, the role and justification of Frege's notorious Axiom V, and speculation about how the search for a solution to the Contradiction might have motivated a new treatment of denoting. Part 2 consists primarily of an extended analysis of Russell's views on knowledge by acquaintance and knowledge by description, in which I try to show that the discomfiture between Russell's semantical and (...)
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  32. Explanation revisited.David Kaplan - 1961 - Philosophy of Science 28 (4):429-436.
    In 'Hempel and Oppenheim on Explanation', (see preceding article) Eberle, Kaplan, and Montague criticize the analysis of explanation offered by Hempel and Oppenheim in their 'Studies in the Logic of Explanation'. These criticisms are shown to be related to the fact that Hempel and Oppenheim's analysis fails to satisfy simultaneously three newly proposed criteria of adequacy for any analysis of explanation. A new analysis is proposed which satisfies these criteria and thus is immune to the criticisms brought against the earlier (...)
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  33.  29
    Paul Ricoeur and the Philosophy of Technology.David M. Kaplan - 2006 - Journal of French and Francophone Philosophy 16 (1-2):42-56.
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  34.  43
    Folk retributivism and the communication confound.Thomas Nadelhoffer, Saeideh Heshmati, Deanna Kaplan & Shaun Nichols - 2013 - Economics and Philosophy 29 (2):235-261.
    Retributivist accounts of punishment maintain that it is right to punish wrongdoers, even if the punishment has no future benefits. Research in experimental economics indicates that people are willing to pay to punish defectors. A complementary line of work in social psychology suggests that people think that it is right to punish wrongdoers. This work suggests that people are retributivists about punishment. However, all of the extant work contains an important potential confound. The target of the punishment is expected to (...)
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  35. De Re Belief.David Kaplan - 2013 - In Richard Hull (ed.), Presidential Addresses of The American Philosophical Association 1981–1990. Kluwer Academic Publishers. pp. 25-37.
  36. What Things Still Don’t Do.David M. Kaplan - 2009 - Human Studies 32 (2):229-240.
    This paper praises and criticizes Peter-Paul Verbeek’s What Things Do ( 2006 ). The four things that Verbeek does well are: (1) remind us of the importance of technological things; (2) bring Karl Jaspers into the conversation on technology; (3) explain how technology “co-shapes” experience by reading Bruno Latour’s actor-network theory in light of Don Ihde’s post-phenomenology; (4) develop a material aesthetics of design. The three things that Verbeek does not do well are: (1) analyze the material conditions in which (...)
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  37. How to reconcile physicalism and antireductionism about biology.Alex Rosenberg & David Michael Kaplan - 2005 - Philosophy of Science 72 (1):43-68.
    Physicalism and antireductionism are the ruling orthodoxy in the philosophy of biology. But these two theses are difficult to reconcile. Merely embracing an epistemic antireductionism will not suffice, as both reductionists and antireductionists accept that given our cognitive interests and limitations, non-molecular explanations may not be improved, corrected or grounded in molecular ones. Moreover, antireductionists themselves view their claim as a metaphysical or ontological one about the existence of facts molecular biology cannot identify, express, or explain. However, this is tantamount (...)
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  38.  86
    Homage to Rudolf Carnap.Herbert Feigl, Carl G. Hempel, Richard C. Jeffrey, W. V. Quine, A. Shimony, Yehoshua Bar-Hillel, Herbert G. Bohnert, Robert S. Cohen, Charles Hartshorne, David Kaplan, Charles Morris, Maria Reichenbach & Wolfgang Stegmüller - 1970 - PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1970:XI-LXVI.
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  39.  38
    Ricoeur's Critical Theory.David M. Kaplan - 2003 - State University of New York Press.
    The first book-length treatment of Paul Ricoeur's conception of philosophy as critical theory.
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  40. Readings in the Philosophy of Technology.David M. Kaplan (ed.) - 2003 - Rowman & Littlefield Publishers.
    Readings in the Philosophy of Technology is a collection of the important works of both the forerunners of philosophy of technology and contemporary theorists, addressing a full range of topics on technology as it relates to ethics, politics, human nautre, computers, science, and the environment.
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  41. How to read technology critically.David M. Kaplan - 2009 - In Jan Kyrre Berg Olsen Friis, Evan Selinger & Søren Riis (eds.), New Waves in Philosophy of Technology. Palgrave-Macmillan.
  42.  40
    Encyclopedia of Food and Agricultural Ethics.Paul B. Thompson & David M. Kaplan (eds.) - 2012 - New York: Springer Verlag.
    The second edition of this extensive work is the definitive source on issues pertaining to the full range of topics in the important area of food and agricultural ethics. Altogether about 100 new entries appear in this new edition. The start of the 21st century has seen intensified debate, discussion, and criticism of food and agriculture. Scholars, activists, and citizens increasingly question the goals and ethical rationale behind production, distribution and consumption of food, and the use of crops for fuel (...)
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  43.  38
    A registration problem for functional fingerprinting.David M. Kaplan & Carl F. Craver - 2016 - Behavioral and Brain Sciences 39.
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  44.  26
    Hunger Hermeneutics.David M. Kaplan - 2020 - Topoi 40 (3):527-533.
    Hunger is both a natural and social phenomenon. On one hand, it is a natural, biological state that affects everyone, everywhere, in every historical time. On the other hand, our perceptions, attitudes, and experiences of hunger are far from uniform. We think about it differently in different contexts and settings depending on its causes and consequences. The same event—the same pangs, emptiness, and lack of energy associated with the desire for food—takes on different meanings depending on who is hungry, when, (...)
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  45.  65
    Responsible, Inclusive Innovation and the Nano-Divide.Doris Schroeder, Sally Dalton-Brown, Benjamin Schrempf & David Kaplan - 2016 - NanoEthics 10 (2):177-188.
    Policy makers from around the world are trying to emulate successful innovation systems in order to support economic growth. At the same time, innovation governance systems are being put in place to ensure a better integration of stakeholder views into the research and development process. In Europe, one of the most prominent and newly emerging governance frameworks is called Responsible Research and Innovation. This article aims to substantiate the following points: The concept of RRI and the concept of justice can (...)
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  46. Integrating Mind and Brain Science: Mechanistic Perspectives and Beyond.David M. Kaplan (ed.) - forthcoming - Oxford University Press.
  47.  24
    On the Generalization of Habituation: How Discrete Biological Systems Respond to Repetitive Stimuli.Mattia Bonzanni, Nicolas Rouleau, Michael Levin & David Lee Kaplan - 2019 - Bioessays 41 (7):1900028.
    Habituation, a form of non‐associative learning, isno longer studied exclusively within the fields of psychology and neuroscience. Indeed, the same stimulus–response pattern is observed at the molecular, cellular, and organismal scales and is not dependent upon the presence of neurons. Hence, a more inclusive theory is required to accommodate aneural forms of habituation. Here an abstraction of the habituation process that does not rely upon particular biological pathways or substrates is presented. Instead, five generalizable elements that define the habituation process (...)
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  48. Students' operations with the weight concept.Igal Galili & Dov Kaplan - 1996 - Science Education 80 (4):457-487.
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  49.  15
    Philosophy, technology, and the environment.David M. Kaplan (ed.) - 2017 - Cambridge, Massachusetts: The MIT Press.
    The return of STS to its historical roots / Baird Callicott -- Phil-tech meets eco-phil / Don Idhe -- Is technology use insidious? / Kyle Whyte, Ryan Gunderson, Brett Clark -- Resistance to risky technologies / Paul Thompson -- Remediation technologies and respect for others / Ben Hale -- Early geoengineering governance / Clare Heyward -- Design for sustainability / Ibo van de Poel -- Industrial ecology and environmental design / Braden Allenby -- Ecodesign in the era of symbolic consumption (...)
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  50.  28
    Introduction to Naturalism: Challenges and New Perspectives.Thomas J. Spiegel, Simon Schüz & Daniel Kaplan - 2023 - Topoi 42 (3):671-674.
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