Common sense philosophy holds that widely and deeply held beliefs are justified in the absence of defeaters. While this tradition has always had its philosophical detractors who have defended various forms of skepticism or have sought to develop rival epistemological views, recent advances in several scientific disciplines claim to have debunked the reliability of the faculties that produce our common sense beliefs. At the same time, however, it seems reasonable that we cannot do without common sense beliefs entirely. Arguably, science and the scientific method are built on, and continue to depend on, common sense. This collection of essays debates the tenability of common sense in the face of recent challenges from the empirical sciences. It explores to what extent scientific considerations—rather than philosophical considerations—put pressure on common sense philosophy. The book is structured in a way that promotes dialogue between philosophers and scientists. Noah Lemos, one of the most influential contemporary advocates of the common sense tradition, begins with an overview of the nature and scope of common sense beliefs, and examines philosophical objections to common sense and its relationship to scientific beliefs. Then, the volume features essays by scientists and philosophers of science who discuss various proposed conflicts between commonsensical and scientific beliefs: the reality of space and time, about the nature of human beings, about free will and identity, about rationality, about morality, and about religious belief. Notable philosophers who embrace the common sense tradition respond to these essays to explore the connection between common sense philosophy and contemporary debates in evolutionary biology, neuroscience, physics, and psychology.

Common sense philosophy holds that widely and deeply held beliefs are justified in the absence of defeaters. While this tradition has always had its philosophical detractors who have defended various forms of skepticism or have sought to develop rival epistemological views, recent advances in several scientific disciplines claim to have debunked the reliability of the faculties that produce our common sense beliefs. At the same time, however, it seems reasonable that we cannot do without common sense beliefs entirely. Arguably, science and the scientific method are built on, and continue to depend on, common sense. This collection of essays debates the tenability of common sense in the face of recent challenges from the empirical sciences. It explores to what extent scientific considerations—rather than philosophical considerations—put pressure on common sense philosophy. The book is structured in a way that promotes dialogue between philosophers and scientists. Noah Lemos, one of the most influential contemporary advocates of the common sense tradition, begins with an overview of the nature and scope of common sense beliefs, and examines philosophical objections to common sense and its relationship to scientific beliefs. Then, the volume features essays by scientists and philosophers of science who discuss various proposed conflicts between commonsensical and scientific beliefs: the reality of space and time, about the nature of human beings, about free will and identity, about rationality, about morality, and about religious belief. Notable philosophers who embrace the common sense tradition respond to these essays to explore the connection between common sense philosophy and contemporary debates in evolutionary biology, neuroscience, physics, and psychology.

A comprehensive exploration of the historical development and philosophical importance of common-sense philosophy.

Common Sense and Science from Aristotle to Reid reveals that thinkers have pondered the nature of common sense and its relationship to science and scientific thinking for a very long time. It demonstrates how a diverse array of neglected early modern thinkers turn out to have been on the right track for understanding how the mind makes sense of the world and how basic features of the human mind and cognition are related to scientific theory and practice. Drawing on a wealth of primary sources and scholarship from the history of ideas, cognitive science, and the history and philosophy of science, this book helps readers understand the fundamental historical and philosophical relationship between common sense and science.

This book offers a unique perspective on one of the deepest questions about the world we live in: is reality multi-leveled, or can everything be reduced to some fundamental ‘flat’ level? This deep philosophical issue has widespread implications in philosophy, since it is fundamental to how we understand the world and the basic entities in it. Both the notion of ‘levels’ within science and their ontological implications are issues that are underexplored in the philosophical literature. The volume reconsiders the view that reality contains many levels and opens new ways to understand the ontological status of the special sciences. The book focuses on major open questions that arise at the foundations of cognitive science, cognitive psychology, brain science and other special sciences, in particular with respect to the physical foundations of these sciences. For example: Is the mental computational? Do brains compute? How can the special sciences be autonomous from physics, grounded in, or based on, physics and at the same time irreducible to physics? The book is an important read for scientists and philosophers alike. It is of interest to philosophers of science, philosophers of mind and biology interested in the notion of levels, but also to psychologists, cognitive scientists and neuroscientists investigating such issues as the precise relation of the mental to the underlying neural structures and the appropriate approach to study it.

This collection of original essays offers a comprehensive examination of scientific progress, which has been a central topic in recent debates in philosophy of science. Traditionally, debates over scientific progress have focused on different methodological approaches, notably the epistemic and semantic approaches. The chapters in Part I of the book examine these two traditional approaches, as well as the newly revived functional and newly developed noetic approaches. Part II features in-depth case studies of scientific progress from the history of science. The chapters cover individual sciences including physics, chemistry, evolutionary biology, seismology, psychology, sociology, economics, and medicine. Finally, Part III of the book explores important issues from contemporary philosophy of science. These chapters address the implications of scientific progress for the scientific realism/anti-realism debate, incommensurability, values in science, idealisation, scientific speculation, interdisciplinarity, and scientific perspectivalism. New Philosophical Perspectives on Scientific Progress will be of interest to researchers and advanced students working on the history and philosophy of science.

From the perspective of the philosophy of science, this book analyzes the Internet conceived in a broad sense. It includes three layers that require philosophical attention: (1) the technological infrastructure, (2) the Web, and (3) cloud computing, along with apps and mobile Internet. The study focuses on the network of networks from the viewpoint of complexity, both structural and dynamic. In addition to the scientific side, this volume considers the technological facet and the social dimension of the Internet as a novel design. There is a clear contribution of the Internet to science: first, the very development of the network of networks requires the creation of new science; second, the Internet empowers scientific disciplines, such as communication sciences; and third, the Internet has fostered a whole new emergent field of data and information. After the opening chapter, which offers a series of keys to the book, there are nine chapters, grouped into four parts: (I) Configuration of the Internet and Its Future, (II) Structural and Dynamic Complexity in the Design of the Internet, (III) Internal and External Contributions of the Internet, and (IV) The Internet and the Sciences. Following this framework, The Internet and Philosophy of Science will be of interest to scholars and advanced students working in philosophy of science, philosophy of technology as well as science and technology studies.

Fake news is an important topic of current social concern. This book is the first sustained inquiry into the epistemology of fake news. The chapters examine the meaning of the term 'fake news', discuss practices that generate or promote fake news, and investigate potential therapies for the problems it presents.

This book addresses the complex relationship between the values of liberal democracy and the values associated with scientific research. The chapters explore how these values mutually reinforce or conflict with one another, in both historical and contemporary contexts. The contributors utilize various approaches to address this timely subject, including historical studies, philosophical analysis, and sociological case studies. The chapters cover a range of topics including academic freedom and autonomy, public control of science, the relationship between scientific pluralism and deliberative democracy, lay-expert relations in a democracy, and the threat of populism and autocracy to scientific inquiry. Taken together the essays demonstrate how democratic values and the epistemic and non-epistemic values associated with science are interconnected. Science, Freedom, Democracy will be of interest to scholars and graduate students working in philosophy of science, history of philosophy, sociology of science, political philosophy, and epistemology.

This book argues for the explanatory autonomy of the biological sciences. It does so by showing that scientific explanations in the biological sciences cannot be reduced to explanations in the fundamental sciences such as physics and chemistry and by demonstrating that biological explanations are advanced by models rather than laws of nature. To maintain the explanatory autonomy of the biological sciences, the author argues against explanatory reductionism and shows that explanation in the biological sciences can be achieved without reduction. Then, he demonstrates that the biological sciences do not have laws of nature. Instead of laws, he suggests that biological models usually do the explanatory work. To understand how a biological model can explain phenomena in the world, the author proposes an inferential account of model explanation. The basic idea of this account is that, for a model to be explanatory, it must answer two kinds of questions: counterfactual-dependence questions that concern the model itself and hypothetical questions that concern the relationship between the model and its target system. The reason a biological model can answer these two kinds of questions is due to the fact that a model is a structure, and the holistic relationship between the model and its target warrants the hypothetical inference from the model to its target and thus helps to answer the second kind of question. The Explanatory Autonomy of the Biological Sciences will be of interest to researchers and advanced students working in philosophy of science, philosophy of biology and metaphysics.