Food philosophy: an introduction.David M.Kaplan -2019 - New York: Columbia University Press.detailsFood 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 (...) the philosophical dimensions of food.David M.Kaplan examines the nature and meaning of food, how we experience it, the social role it plays, its moral and political dimensions, and how we judge it to be delicious or awful. He shows how the different branches of philosophy contribute to a broader understanding of food: what food is (metaphysics), how we experience food (epistemology), what taste in food is (aesthetics), how we should make and eat food (ethics), how governments should regulate food (political philosophy), and why food matters to us (existentialism).Kaplan embarks on a series of philosophical investigations, considering topics such as culinary identity and authenticity, tasting and food criticism, appetite and disgust, meat eating and techno-foods, and consumerism and conformity. He emphasizes how different narratives help us navigate the complex world of food -- yet we all have responsibilities to ourselves, to others, and to animals. An original treatment of a timely subject, Food Philosophy is suitable for undergraduates while making a significant contribution to scholarly debates. (shrink)
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The Explanatory Force of Dynamical and Mathematical Models in Neuroscience: A Mechanistic Perspective.David MichaelKaplan &Carl F. Craver -2011 -Philosophy of Science 78 (4):601-627.detailsWe 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 (...) explored. (shrink)
Explanation and Integration in Mind and Brain Science.David MichaelKaplan (ed.) -2017 - Oxford, United Kingdom: Oxford University Press.detailsIs 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.
Ricoeur's Critical Theory.David M.Kaplan -2003 - State University of New York Press.detailsThe first book-length treatment of Paul Ricoeur's conception of philosophy as critical theory.
Explanation and description in computational neuroscience.David MichaelKaplan -2011 -Synthese 183 (3):339-373.detailsThe 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 (...) also serves to clarify the pattern of model refinement and elaboration undertaken by computational neuroscientists. (shrink)
How to demarcate the boundaries of cognition.David MichaelKaplan -2012 -Biology and Philosophy 27 (4):545-570.detailsAdvocates 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 (...) and activities of putative components and the overall behavior of the cognitive mechanism in which they figure. Among its main advantages, this criterion is capable of (a) distinguishing components of cognition from causal background conditions and lower-level correlates, and (b) showing how the core hypothesis of extended cognition can serve as a legitimate empirical hypothesis amenable to experimental test and confirmation. Conceiving the debate in these terms transforms the current clash over extended cognition into a substantive empirical debate resolvable on the basis of evidence from cognitive science and neuroscience. (shrink)
Dynamical Models: An Alternative or Complement to Mechanistic Explanations?David M.Kaplan &William Bechtel -2011 -Topics in Cognitive Science 3 (2):438-444.detailsAbstract 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 (...) of action potentials and circadian rhythms, we show how decomposing a mechanism and modeling its dynamics are complementary endeavors. (shrink)
The Philosophy of Food.David M.Kaplan (ed.) -2012 - University of California Press.detailsThis 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 serious philosophical debate. Each of the essays in this book brings in-depth analysis to many contemporary debates in food studies—Slow Food, sustainability, food safety, and politics—and addresses such issues as “happy meat,” aquaculture, veganism, and table manners. The result is an extraordinary resource that guides readers to think more clearly and responsibly about what we consume and how we provide for ourselves, and illuminates the reasons why we act as we do. (shrink)
Moving parts: the natural alliance between dynamical and mechanistic modeling approaches.David MichaelKaplan -2015 -Biology and Philosophy 30 (6):757-786.detailsRecently, 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 (...) this purpose. It is also suggested that more attention should be paid to the distinctive methodological contributions of the dynamical framework including its usefulness as a heuristic for mechanism discovery and hypothesis generation in contemporary neuroscience and biology. (shrink)
Explanation revisited.DavidKaplan -1961 -Philosophy of Science 28 (4):429-436.detailsIn '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 analysis. (shrink)
Reading ‘On Denoting’ on its Centenary.DavidKaplan -2005 -Mind 114 (456):933-1003.detailsPart 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 (...) epistemological commitments begins as far back as 1903. I close with a non-Russellian critique of Russell's views on how we are able to make use of linguistic representations in thought and with the suggestion that a theory of comprehension is needed to supplement semantic theory. (shrink)
Philosophy, technology, and the environment.David M.Kaplan (ed.) -2017 - Cambridge, Massachusetts: The MIT Press.detailsThe 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 (...) / Zhang Wei -- Do we consume too much? / Mark Sagoff -- Sustainable technologies for sustainable lifestyles / Philip Brey -- Sustainable animal agriculture and environmental virtue ethics / Raymond Anthony -- Technology, responsibility, and meat / Wyatt Galusky. (shrink)
What Things Still Don’t Do.David M.Kaplan -2009 -Human Studies 32 (2):229-240.detailsThis 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 (...) things are produced; (2) criticize the social-political design and use context of things; and (3) appreciate how liberal moral-political theory contributes to our evaluation of technology. (shrink)
An Idea of Donnellan.DavidKaplan -2011 - In Joseph Almog & Paolo Leonardi,Having In Mind: The Philosophy of Keith Donnellan. New York, USA: Oxford University Press. pp. 122-175.detailsThis 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.
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.detailsCompleteness 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 (...) articulate norms of completeness for mechanistic explanations that have no such unwanted implications. _1_ Introduction _2_ A Balancing Act: When Do Details Matter? _3_ The Norms of Causal Explanation _4_ The Norms of Constitutive Explanation _5_ Salmon-Completeness _6_ From More Details to More Relevant Details _7_ Non-explanatory Virtues of Abstraction _8_ From Explanatory Models to Explanatory Knowledge _9_ Mechanistic Completeness Reconsidered _10_ Conclusion. (shrink)