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“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
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.
Much is said in Marxist literature about Marxist methodology which is supposed to be entirely original - differing a great deal from all other trends in the modern philosophy of science. On the other hand, however, it is unfallacious to state that there are no people outside Marxism who would like to deny this statement. This has to put those who really believe that Marxism has something important to say in philosophy of science on guard: if someone says something important others usually are inclined to protest. But who is inclined to protest when it is stated that Marx em ployed both induction and deduction, a historical method and a logical one as well, synthesis, but also analysis, etc? Who is inclined to protest when it is not known what within this framework 'induction', 'deduction' 'history' or 'logic' mean? Who is inclined to protest when 'Marxist meth odology' is presented not with the aid of precise definitions and clear hypotheses but with the aid of a jungle of quotations? I think that the main malfeasance of the current 'Marxist methodology', is that of ecclecticism. The methodology of Marx is presented as a col lection of trivial and/or obscure ideas but not as a system of statements subordinated to any clear, definite viewpoint presenting a new grasp ofthe nature of scientific cognition. Search for reconstruction of Marxian meth odology as a system of the kind is the main aim of this book.
Contents: Preface. - Introduction. - Science as a caricature of reality. - Three methodological revolutions. - The method of idealization. - Explanations and applications. - Truth and idealization. - A generalization of idealization. - References.
Discussions about abstraction are so important and so profound that this topic can hardly be neglected. It has inevitably cropped up again in various periods of philosophical enquiry. Despite these ancient roots and after the great debate that characterised the empirical and rationalistic tradition, interest in the problem has unfortunately been absent in large measure from the mainstream of mathematical logic and analytic philosophy. It seems that there is a gap between the epistemological theorization, in which it is difficult to find new insights on the problem of abstraction, and the historical studies concerning the development of philosophical thought. Such studies, however, present a more fertile ground for such insights. Here the reader will find presented for the first time a collection of papers about the topic, considered from an historical point of view together with an awareness of the need for building a bridge between historical research and theoretical speculation. Accordingly the volume consists of both general overviews which sketch the signifcance and the fortunes of abstraction in science, philosophy and logic (the first part) and historical case studies which focus on abstraction in particular thinkers (the second part). This volume is of interest for both general philosophers and historians of philosophy.
The principal task of the book series Poznan Studies in the Philosophy of the Sciences and the Humanities is to promote those developments in philosophy that respect the tradition of great philosophical ideas, on the one hand, and the manner of philosophical thinking introduced by analytical philosophy, on the other. The aim is to contribute to practicing philosophy as deep as Marxism and as caring about justification as positivism.
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.
Here is presented for the first time a comprehensive review and analysis of the several roles played by idealization procedures in the logic, mathematics and models that lie at the heart of modern, twentieth century physics. It is only through idealization of one form or another that the objects and processes of modern physics become tractable. The essays in this volume will be of interest to all those who are concerned with the uses of models in physics, and the relationships between models and the real world. The essays in this volume cover the role of idealization in all the main areas of modern physics, ranging from quantum theory, relativity theory and cosmology to chaos theory.
This Element offers an opinionated and selective introduction to philosophical issues concerning idealizations in physics, including the concept of and reasons for introducing idealization, abstraction, and approximation, possible taxonomy and justification, and application to issues of mathematical Platonism, scientific realism, and scientific understanding.