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Models and Idealizations in Science

This post is by Alejandro Cassini (University of Buenos Aires) and Juan Redmond (University of Valparaiso) who recently edited Models and Idealizations in Science: Artifactual and Fictional Approaches (Springer, 2021). Here they present the book. This book is intended both as an introduction to the philosophy of scientific modeling and as a contribution to the discussion and clarification of two recent philosophical conceptions of models: the artifactual and the fictional views.  The first chapter provides a rather elementary but fairly complete and extensive introduction to the present state of the philosophy of scientific models. It also offers a brief historical narrative of the rise and the early development of the philosophy of scientific models since the middle of the 20th century.  Juan Redmond The commented bibliography at end of the book complements this narrative by offering a classified list of the main relevant books on models and idealizations in science preced...

Knowledge from a Human Point of View

This post is by Michela Massimi who tells us about a collection she co-edited with Ana-Maria Cretu , Knowledge from a Human Point of View (Springer Synthese Library), available fully open access, courtesy of the European Research Council OA policy. Knowledge from a Human Point of View is the second edited volume planned for the ERC Consolidator Grant " Perspectival Realism. Science, Knowledge and Truth from a Human Vantage Point " and in my original intentions it was meant to explore the historical roots and epistemological ramifications of the view known as ‘perspectivism’. Better known these days among philosophers of science working on scientific modelling and pluralism (albeit not exclusively), perspectivism is a view with a long history. What is at stake in the prima facie platitude that our knowledge is always from a human point of view? Whose else’s point of view if not ours, one might immediately retort? Historically, the shift from knowledge sub spe...

The Computational Mind

This post was co-authored by Matteo Colombo , an Assistant Professor in the Tilburg Center for Logic, Ethics and Philosophy of Science , at Tilburg University in The Netherlands, and Mark Sprevak , Senior Lecturer in the School of Philosophy, Psychology and Language Sciences at the University of Edinburgh .  They share research interests in philosophy of the cognitive sciences and philosophy of science in general. Here they write about their new co-edited volume “The Routledge Handbook of the Computational Mind” . The book aims to provide a comprehensive, state-of-the-art treatment of the history, foundations, challenges, applications, and prospects for computational ideas regarding mind, brain, and behaviour. There are thirty-five chapters from contributors across philosophy and the sciences. It is organized into four parts: 1.     History and future prospects of computational approaches 2.     Types of computational approach 3.     ...

True Enough

Catherine Z. Elgin is Professor of the Philosophy of Education at Harvard Graduate School of Education. She is the author of Considered Judgment, Between the Absolute and the Arbitrary, With Reference to Reference, and (with Nelson Goodman) Reconceptions in Philosophy and Other Arts and Sciences. In this post, she talks about her book True Enough . Epistemology valorizes truth.  There may be practical or prudential reasons to accept a contention that is known to be false, but it is widely assumed that there can never be epistemically good reasons to do so.  Nor can there be epistemically good reasons to accept modes of justification that are not truth-conducive.  Although this seems plausible, it has a fatal defect.  It cannot accommodate the cognitive contributions of science.  For science unabashedly uses models, idealizations, and thought experiments that are known not to be true.  Nor do practicing scientists think that such devices will ultimat...