Idealization In Epistemology
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| Author | : Associate Professor of Philosophy Daniel Greco |
| Publisher | : Oxford University Press |
| Total Pages | : 205 |
| Release | : 2023-08-03 |
| Genre | : Philosophy |
| ISBN | : 0198860552 |
It's standard in epistemology to approach questions about knowledge and rational belief using idealized, simplified models. But while the practice of constructing idealized models in epistemology is old, metaepistemological reflection on that practice is not. Greco argues that the fact that epistemologists build idealized models isn't merely a metaepistemological observation that can leave first-order epistemological debates untouched. Rather, once we view epistemology through the lens of idealization and model-building, the landscape looks quite different. Constructing idealized models is likely the best epistemologists can do. Once one starts using epistemological categories like belief, knowledge, and confidence, the realm of idealization and model-building is entered. We can object to a model of knowledge by pointing to a better model, but in the absence of a better model, the fact that a framework for epistemologizing theorizing involves simplifications, approximations, and other inaccuracies-the fact of its status as an idealized model-is not in itself objectionable. Once we accept that theorizing in epistemological terms is inescapably idealized, a number of intriguing possibilities open up. Greco defends a package of epistemological views that might otherwise have looked indefensibly dismissive of our cognitive limitations-a package according to which we know a wide variety of facts with certainty, including what our evidence is, what we know and don't know, and what follows from our knowledge.
| Author | : Robert Pasnau |
| Publisher | : Oxford University Press |
| Total Pages | : 393 |
| Release | : 2017-11-10 |
| Genre | : Philosophy |
| ISBN | : 0192521934 |
No part of philosophy is as disconnected from its history as is epistemology. After Certainty offers a reconstruction of that history, understood as a series of changing expectations about the cognitive ideal that beings such as us might hope to achieve in a world such as this. The story begins with Aristotle and then looks at how his epistemic program was developed through later antiquity and into the Middle Ages, before being dramatically reformulated in the seventeenth century. In watching these debates unfold over the centuries, one sees why epistemology has traditionally been embedded within a much larger sphere of concerns about human nature and the reality of the world we live in. It ultimately becomes clear why epistemology today has become a much narrower and specialized field, concerned with the conditions under which it is true to say, that someone knows something. Based on a series of lectures given at Oxford University, Robert Pasnau's book ranges widely over the history of philosophy, and examines in some detail the rise of science as an autonomous discipline. Ultimately Pasnau argues that we may have no good reasons to suppose ourselves capable of achieving even the most minimal standards for knowledge, and the final chapter concludes with a discussion of faith and hope.
| Author | : Robert Pasnau |
| Publisher | : OUP Oxford |
| Total Pages | : 811 |
| Release | : 2013-02-07 |
| Genre | : Philosophy |
| ISBN | : 0191501794 |
Robert Pasnau traces the developments of metaphysical thinking through four rich but for the most part neglected centuries of philosophy, running from the thirteenth century through to the seventeenth. At no period in the history of philosophy, other than perhaps our own, have metaphysical problems received the sort of sustained attention they received during the later Middle Ages, and never has a whole philosophical tradition come crashing down as quickly and completely as did scholastic philosophy in the seventeenth century. The thirty chapters work through various fundamental metaphysical issues, sometimes focusing more on scholastic thought, sometimes on the seventeenth century. Pasnau begins with the first challenges to the classical scholasticism of Bonaventure and Thomas Aquinas, runs through prominent figures like John Duns Scotus and William Ockham, and ends in the seventeenth century, with the end of the first stage of developments in post-scholastic philosophy: on the continent, with Descartes and Gassendi, and in England, with Boyle and Locke.
| Author | : Kwame Anthony Appiah |
| Publisher | : Harvard University Press |
| Total Pages | : 237 |
| Release | : 2017-08-14 |
| Genre | : Philosophy |
| ISBN | : 0674982193 |
“Appiah is a writer and thinker of remarkable range... [He] has packed into this short book an impressive amount of original reflection... A rich and illuminating book.” —Thomas Nagel, New York Review of Books Idealization is a fundamental feature of human thought. We build simplified models to make sense of the world, and life is a constant adjustment between the models we make and the realities we encounter. Our beliefs, desires, and sense of justice are bound up with these ideals, and we proceed “as if” our representations were true, while knowing they are not. In this elegant and original meditation, Kwame Anthony Appiah suggests that this instinct to idealize is not dangerous or distracting so much as it is necessary. As If explores how strategic untruth plays a critical role in far-flung areas of inquiry: decision theory, psychology, natural science, and political philosophy. A polymath who writes with mainstream clarity, Appiah defends the centrality of the imagination not just in the arts but in science, morality, and everyday life. “Appiah is the rare public intellectual who is also a first-rate analytic philosopher, and the characteristic virtues associated with each of these identities are very much in evidence throughout the book.” —Thomas Kelly, Notre Dame Philosophical Reviews
| Author | : Angela Potochnik |
| Publisher | : University of Chicago Press |
| Total Pages | : 263 |
| Release | : 2020-09-23 |
| Genre | : Philosophy |
| ISBN | : 022675944X |
Science is the study of our world, as it is in its messy reality. Nonetheless, science requires idealization to function—if we are to attempt to understand the world, we have to find ways to reduce its complexity. Idealization and the Aims of Science shows just how crucial idealization is to science and why it matters. Beginning with the acknowledgment of our status as limited human agents trying to make sense of an exceedingly complex world, Angela Potochnik moves on to explain how science aims to depict and make use of causal patterns—a project that makes essential use of idealization. She offers case studies from a number of branches of science to demonstrate the ubiquity of idealization, shows how causal patterns are used to develop scientific explanations, and describes how the necessarily imperfect connection between science and truth leads to researchers’ values influencing their findings. The resulting book is a tour de force, a synthesis of the study of idealization that also offers countless new insights and avenues for future exploration.
| Author | : Sarah Moss |
| Publisher | : Oxford University Press |
| Total Pages | : 281 |
| Release | : 2018 |
| Genre | : Mathematics |
| ISBN | : 0198792158 |
Sarah Moss argues that in addition to full beliefs, credences can constitute knowledge. She introduces the notion of probabilistic content and shows how it plays a central role not only in epistemology, but in the philosophy of mind and language. Just you can believe and assert propositions, you can believe and assert probabilistic contents.
| Author | : Catherine Z. Elgin |
| Publisher | : MIT Press |
| Total Pages | : 351 |
| Release | : 2017-10-20 |
| Genre | : Philosophy |
| ISBN | : 0262341387 |
The development of an epistemology that explains how science and art embody and convey understanding. Philosophy valorizes truth, holding that there can never be epistemically good reasons to accept a known falsehood, or to accept modes of justification that are not truth conducive. How can this stance account for the epistemic standing of science, which unabashedly relies on models, idealizations, and thought experiments that are known not to be true? In True Enough, Catherine Elgin argues that we should not assume that the inaccuracy of models and idealizations constitutes an inadequacy. To the contrary, their divergence from truth or representational accuracy fosters their epistemic functioning. When effective, models and idealizations are, Elgin contends, felicitous falsehoods that exemplify features of the phenomena they bear on. Because works of art deploy the same sorts of felicitous falsehoods, she argues, they also advance understanding. Elgin develops a holistic epistemology that focuses on the understanding of broad ranges of phenomena rather than knowledge of individual facts. Epistemic acceptability, she maintains, is a matter not of truth-conduciveness, but of what would be reflectively endorsed by the members of an idealized epistemic community—a quasi-Kantian realm of epistemic ends.
| Author | : David Christensen |
| Publisher | : Oxford University Press |
| Total Pages | : 200 |
| Release | : 2004-11-04 |
| Genre | : Mathematics |
| ISBN | : 0199263256 |
What role, if any, does formal logic play in characterizing epistemically rational belief? Traditionally, belief is seen in a binary way - either one believes a proposition, or one doesn't. Given this picture, it is attractive to impose certain deductive constraints on rational belief: that one's beliefs be logically consistent, and that one believe the logical consequences of one's beliefs. A less popular picture sees belief as a graded phenomenon. This picture (explored more bydecision-theorists and philosophers of science thatn by mainstream epistemologists) invites the use of probabilistic coherence to constrain rational belief. But this latter project has often involved defining graded beliefs in terms of preferences, which may seem to change the subject away fromepistemic rationality.Putting Logic in its Place explores the relations between these two ways of seeing beliefs. It argues that the binary conception, although it fits nicely with much of our commonsense thought and talk about belief, cannot in the end support the traditional deductive constraints on rational belief. Binary beliefs that obeyed these constraints could not answer to anything like our intuitive notion of epistemic rationality, and would end up having to be divorced from central aspects of ourcognitive, practical, and emotional lives.But this does not mean that logic plays no role in rationality. Probabilistic coherence should be viewed as using standard logic to constrain rational graded belief. This probabilistic constraint helps explain the appeal of the traditional deductive constraints, and even underlies the force of rationally persuasive deductive arguments. Graded belief cannot be defined in terms of preferences. But probabilistic coherence may be defended without positing definitional connections between beliefsand preferences. Like the traditional deductive constraints, coherence is a logical ideal that humans cannot fully attain. Nevertheless, it furnishes a compelling way of understanding a key dimension of epistemic rationality.
| Author | : Alejandro Cassini |
| Publisher | : Springer |
| Total Pages | : 270 |
| Release | : 2022-05-29 |
| Genre | : Philosophy |
| ISBN | : 9783030658045 |
This book provides both an introduction to the philosophy of scientific modeling and a contribution to the discussion and clarification of two recent philosophical conceptions of models: artifactualism and fictionalism. These can be viewed as different stances concerning the standard representationalist account of scientific models. By better understanding these two alternative views, readers will gain a deeper insight into what a model is as well as how models function in different sciences. Fictionalism has been a traditional epistemological stance related to antirealist construals of laws and theories, such as instrumentalism and inferentialism. By contrast, the more recent fictional view of models holds that scientific models must be conceived of as the same kind of entities as literary characters and places. This approach is essentially an answer to the ontological question concerning the nature of models, which in principle is not incompatible with a representationalist account of the function of models. The artifactual view of models is an approach according to which scientific models are epistemic artifacts, whose main function is not to represent the phenomena but rather to provide epistemic access to them. It can be conceived of as a non-representationalist and pragmatic account of modeling, which does not intend to focus on the ontology of models but rather on the ways they are built and used for different purposes. The different essays address questions such as the artifactual view of idealization, the use of information theory to elucidate the concepts of abstraction and idealization, the deidealization of models, the nature of scientific fictions, the structural account of representation and the ontological status of structures, the role of surrogative reasoning with models, and the use of models for explaining and predicting physical phenomena.
| Author | : Guy Axtell |
| Publisher | : |
| Total Pages | : 196 |
| Release | : 2022-01-26 |
| Genre | : |
| ISBN | : 9781989014264 |
Introduction to Philosophy: Epistemology engages first-time philosophy readers on a guided tour through the core concepts, questions, methods, arguments, and theories of epistemology-the branch of philosophy devoted to the study of knowledge. After a brief overview of the field, the book progresses systematically while placing central ideas and thinkers in historical and contemporary context. The chapters cover the analysis of knowledge, the nature of epistemic justification, rationalism vs. empiricism, skepticism, the value of knowledge, the ethics of belief, Bayesian epistemology, social epistemology, and feminist epistemologies. Along the way, instructors and students will encounter a wealth of additional resources and tools: Chapter learning outcomes Key terms Images of philosophers and related art Useful diagrams and tables Boxes containing excerpts and other supplementary material Questions for reflection Suggestions for further reading A glossary For an undergraduate survey epistemology course, Introduction to Philosophy: Epistemology is ideal when used as a main text paired with primary sources and scholarly articles. For an introductory philosophy course, select book chapters are best used in combination with chapters from other books in the Introduction to Philosophy series: https: //www1.rebus.community/#/project/4ec7ecce-d2b3-4f20-973c-6b6502e7cbb2.
