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"This book provides an introduction to a scientifically informed approach to epistemological questions. Theories of knowledge are often motivated by the need to respond to skepticism. The skeptic presents an argument which seems to show that knowledge is impossible, and a theory of knowledge is called upon to show, contrary to the skeptic, how knowledge is indeed possible. Traditional epistemologies, however, do not draw on the sciences in providing their response to skepticism. The approach taken here, however, shows how an epistemology which is informed by the sciences offers an especially illuminating understanding of the nature of knowledge and what makes it possible. Along the way, a distinctive methodology for philosophy is defended, as is an approach to understanding how inference is conducive to knowledge which highlights various structural similarities between the workings of our perceptual systems and native inferential mechanisms. A perspective on the human capacity to reflect on our beliefs is defended which highlights its importance in cooperative problem solving"--
The first volume in this new series explores, through extensive co-operation, new ways of achieving the integration of science in all its diversity. The book offers essays from important and influential philosophers in contemporary philosophy, discussing a range of topics from philosophy of science to epistemology, philosophy of logic and game theoretical approaches. It will be of interest to philosophers, computer scientists and all others interested in the scientific rationality.
Francis Remedios provides important criticisms of Fuller's position and Fuller's responses to philosophical debates, as well as reconstructions of Fuller's arguments. The result is a carefully argued, in-depth analysis of the work of a very important philosopher of science."--Jacket.
In bringing together a global community of philosophers, Global Epistemologies and Philosophies of Science develops novel perspectives on epistemology and philosophy of science by demonstrating how frameworks from academic philosophy (e.g. standpoint theory, social epistemology, feminist philosophy of science) and related fields (e.g. decolonial studies, transdisciplinarity, global history of science) can contribute to critical engagement with global dimensions of knowledge and science. Global challenges such as climate change, food production, and infectious diseases raise complex questions about scientific knowledge production and its interactions with local knowledge systems and social realities. As academic philosophy provides relatively little reflection on global negotiations of knowledge, many pressing scientific and societal issues remain disconnected from core debates in epistemology and philosophy of science. This book is an invitation to broaden agendas of academic philosophy by presenting epistemology and philosophy of science as globally engaged fields that address heterogeneous forms of knowledge production and their interactions with local livelihoods, practices, and worldviews. This integrative ambition makes the book equally relevant for philosophers and interdisciplinary scholars who are concerned with methodological and political challenges at the intersection of science and society.
What Is Scientific Knowledge? is a much-needed collection of introductory-level chapters on the epistemology of science. Renowned historians, philosophers, science educators, and cognitive scientists have authored 19 original contributions specifically for this volume. The chapters, accessible for students in both philosophy and the sciences, serve as helpful introductions to the primary debates surrounding scientific knowledge. First-year undergraduates can readily understand the variety of discussions in the volume, and yet advanced students and scholars will encounter chapters rich enough to engage their many interests. The variety and coverage in this volume make it the perfect choice for the primary text in courses on scientific knowledge. It can also be used as a supplemental book in classes in epistemology, philosophy of science, and other related areas. Key features: * an accessible and comprehensive introduction to the epistemology of science for a wide variety of students (both undergraduate- and graduate-level) and researchers * written by an international team of senior researchers and the most promising junior scholars * addresses several questions that students and lay people interested in science may already have, including questions about how scientific knowledge is gained, its nature, and the challenges it faces.
This book addresses controversies concerning the epistemological foundations of data science: Is it a genuine science? Or is data science merely some inferior practice that can at best contribute to the scientific enterprise, but cannot stand on its own? The author proposes a coherent conceptual framework with which these questions can be rigorously addressed. Readers will discover a defense of inductivism and consideration of the arguments against it: an epistemology of data science more or less by definition has to be inductivist, given that data science starts with the data. As an alternative to enumerative approaches, the author endorses Federica Russo’s recent call for a variational rationale in inductive methodology. Chapters then address some of the key concepts of an inductivist methodology including causation, probability and analogy, before outlining an inductivist framework. The inductivist framework is shown to be adequate and useful for an analysis of the epistemological foundations of data science. The author points out that many aspects of the variational rationale are present in algorithms commonly used in data science. Introductions to algorithms and brief case studies of successful data science such as machine translation are included. Data science is located with reference to several crucial distinctions regarding different kinds of scientific practices, including between exploratory and theory-driven experimentation, and between phenomenological and theoretical science. Computer scientists, philosophers and data scientists of various disciplines will find this philosophical perspective and conceptual framework of great interest, especially as a starting point for further in-depth analysis of algorithms used in data science.
Though science and philosophy take different approaches to ontology, metaphysical inferences are relevant to interpreting scientific work, and empirical investigations are relevant to philosophy. This book argues that there is no uniquely rational way to determine which domains of ontology are appropriate for belief, making room for choice in a transformative account of scientific ontology.
Volume I brings together his very influential but scattered papers on the philosophy of the physical sciences, and includes one important unpublished essay on the effect of Newton's scientific achievement. Volume 2 presents his work on the philosophy of mathematics together with some critical essays on contemporary philosophers of science.
Feminist thinkers have been critically examining science for over a century; but who critiques the criticism?
The Oxford Handbook of Epistemology contains 19 previously unpublished chapters by today's leading figures in the field. These chapters function not only as a survey of key areas, but as original scholarship on a range of vital topics. Written accessibly for advanced undergraduates, graduate students, and professional philosophers, the Handbook explains the main ideas and problems of contemporary epistemology while avoiding overly technical detail.