Download or read book Truth Seeking by Abduction written by Ilkka Niiniluoto and published by Springer. This book was released on 2018-10-24 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines the philosophical conception of abductive reasoning as developed by Charles S. Peirce, the founder of American pragmatism. It explores the historical and systematic connections of Peirce's original ideas and debates about their interpretations. Abduction is understood in a broad sense which covers the discovery and pursuit of hypotheses and inference to the best explanation. The analysis presents fresh insights into this notion of reasoning, which derives from effects to causes or from surprising observations to explanatory theories. The author outlines some logical and AI approaches to abduction as well as studies various kinds of inverse problems in astronomy, physics, medicine, biology, and human sciences to provide examples of retroductions and abductions. The discussion covers also everyday examples with the implication of this notion in detective stories, one of Peirce’s own favorite themes. The author uses Bayesian probabilities to argue that explanatory abduction is a method of confirmation. He uses his own account of truth approximation to reformulate abduction as inference which leads to the truthlikeness of its conclusion. This allows a powerful abductive defense of scientific realism. This up-to-date survey and defense of the Peircean view of abduction may very well help researchers, students, and philosophers better understand the logic of truth-seeking.
Download or read book Bayesian Philosophy of Science written by Jan Sprenger and published by Oxford University Press. This book was released on 2019-08-23 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: How should we reason in science? Jan Sprenger and Stephan Hartmann offer a refreshing take on classical topics in philosophy of science, using a single key concept to explain and to elucidate manifold aspects of scientific reasoning. They present good arguments and good inferences as being characterized by their effect on our rational degrees of belief. Refuting the view that there is no place for subjective attitudes in 'objective science', Sprenger and Hartmann explain the value of convincing evidence in terms of a cycle of variations on the theme of representing rational degrees of belief by means of subjective probabilities (and changing them by Bayesian conditionalization). In doing so, they integrate Bayesian inference—the leading theory of rationality in social science—with the practice of 21st century science. Bayesian Philosophy of Science thereby shows how modeling such attitudes improves our understanding of causes, explanations, confirming evidence, and scientific models in general. It combines a scientifically minded and mathematically sophisticated approach with conceptual analysis and attention to methodological problems of modern science, especially in statistical inference, and is therefore a valuable resource for philosophers and scientific practitioners.
Download or read book Active Inference written by Thomas Parr and published by MIT Press. This book was released on 2022-03-29 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first comprehensive treatment of active inference, an integrative perspective on brain, cognition, and behavior used across multiple disciplines. Active inference is a way of understanding sentient behavior—a theory that characterizes perception, planning, and action in terms of probabilistic inference. Developed by theoretical neuroscientist Karl Friston over years of groundbreaking research, active inference provides an integrated perspective on brain, cognition, and behavior that is increasingly used across multiple disciplines including neuroscience, psychology, and philosophy. Active inference puts the action into perception. This book offers the first comprehensive treatment of active inference, covering theory, applications, and cognitive domains. Active inference is a “first principles” approach to understanding behavior and the brain, framed in terms of a single imperative to minimize free energy. The book emphasizes the implications of the free energy principle for understanding how the brain works. It first introduces active inference both conceptually and formally, contextualizing it within current theories of cognition. It then provides specific examples of computational models that use active inference to explain such cognitive phenomena as perception, attention, memory, and planning.
Download or read book Arguments Stories and Criminal Evidence written by Floris J. Bex and published by Springer Science & Business Media. This book was released on 2011-02-15 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book a theory of reasoning with evidence in the context of criminal cases is developed. The main subject of this study is not the law of evidence but rather the rational process of proof, which involves constructing, testing and justifying scenarios about what happened using evidence and commonsense knowledge. A central theme in the book is the analysis of ones reasoning, so that complex patterns are made more explicit and clear. This analysis uses stories about what happened and arguments to anchor these stories in evidence. Thus the argumentative and the narrative approaches from the research in legal philosophy and legal psychology are combined. Because the book describes its subjects in both an informal and a formal style, it is relevant for scholars in legal philosophy, AI, logic and argumentation theory. The book can also appeal to practitioners in the investigative and legal professions, who are interested in the ways in which they can and should reason with evidence.
Download or read book Bayes Or Bust written by John Earman and published by Bradford Books. This book was released on 1992 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is currently no viable alternative to the Bayesian analysis of scientific inference, yet the available versions of Bayesianism fail to do justice to several aspects of the testing and confirmation of scientific hypotheses. Bayes or Bust? provides the first balanced treatment of the complex set of issues involved in this nagging conundrum in the philosophy of science. Both Bayesians and anti-Bayesians will find a wealth of new insights on topics ranging from Bayes's original paper to contemporary formal learning theory. In a paper published posthumously in 1763, the Reverend Thomas Bayes made a seminal contribution to the understanding of "analogical or inductive reasoning." Building on his insights, modem Bayesians have developed an account of scientific inference that has attracted numerous champions as well as numerous detractors. Earman argues that Bayesianism provides the best hope for a comprehensive and unified account of scientific inference, yet the presently available versions of Bayesianisin fail to do justice to several aspects of the testing and confirming of scientific theories and hypotheses. By focusing on the need for a resolution to this impasse, Earman sharpens the issues on which a resolution turns. John Earman is Professor of History and Philosophy of Science at the University of Pittsburgh.
Download or read book The Tapestry of Reason written by Amalia Amaya and published by Bloomsbury Publishing. This book was released on 2015-04-30 with total page 644 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years coherence theories of law and adjudication have been extremely influential in legal scholarship. These theories significantly advance the case for coherentism in law. Nonetheless, there remain a number of problems in the coherence theory in law. This ambitious new work makes the first concerted attempt to develop a coherence-based theory of legal reasoning, and in so doing addresses, or at least mitigates these problems. The book is organized in three parts. The first part provides a critical analysis of the main coherentist approaches to both normative and factual reasoning in law. The second part investigates the coherence theory in a number of fields that are relevant to law: coherence theories of epistemic justification, coherentist approaches to belief revision and theory-choice in science, coherence theories of practical and moral reasoning and coherence-based approaches to discourse interpretation. Taking this interdisciplinary analysis as a starting point, the third part develops a coherence-based model of legal reasoning. While this model builds upon the standard theory of legal reasoning, it also leads to rethinking some of the basic assumptions that characterize this theory, and suggests some lines along which it may be further developed. Thus, ultimately, the book not only improves upon the current state of coherence theory in law, but also contributes to the larger debate about how to articulate a theory of legal reasoning that results in better decision-making.
Download or read book Our Knowledge of the Past written by Aviezer Tucker and published by Cambridge University Press. This book was released on 2004-04-26 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: How do historians, comparative linguists, biblical and textual critics and evolutionary biologists establish beliefs about the past? How do they know the past? This book presents a philosophical analysis of the disciplines that offer scientific knowledge of the past. Using the analytic tools of contemporary epistemology and philosophy of science the book covers such topics as evidence, theory, methodology, explanation, determination and underdetermination, coincidence, contingency and counterfactuals in historiography. Aviezer Tucker's central claim is that historiography as a scientific discipline should be thought of as an effort to explain the evidence of past events. He also emphasizes the similarity between historiographic methodology to Darwinian evolutionary biology. This is an important, fresh approach to historiography and will be read by philosophers, historians and social scientists interested in the methodological foundations of their disciplines.
Download or read book The Material Theory of Induction written by John D. Norton and published by Bsps Open. This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The inaugural title in the new, Open Access series BSPS Open, The Material Theory of Induction will initiate a new tradition in the analysis of inductive inference. The fundamental burden of a theory of inductive inference is to determine which are the good inductive inferences or relations of inductive support and why it is that they are so. The traditional approach is modeled on that taken in accounts of deductive inference. It seeks universally applicable schemas or rules or a single formal device, such as the probability calculus. After millennia of halting efforts, none of these approaches has been unequivocally successful and debates between approaches persist. The Material Theory of Induction identifies the source of these enduring problems in the assumption taken at the outset: that inductive inference can be accommodated by a single formal account with universal applicability. Instead, it argues that that there is no single, universally applicable formal account. Rather, each domain has an inductive logic native to it. Which that is, and its extent, is determined by the facts prevailing in that domain. Paying close attention to how inductive inference is conducted in science and copiously illustrated with real-world examples, The Material Theory of Induction will initiate a new tradition in the analysis of inductive inference."--
Download or read book Statistical Rethinking written by Richard McElreath and published by CRC Press. This book was released on 2018-01-03 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers’ knowledge of and confidence in statistical modeling. Reflecting the need for even minor programming in today’s model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work. The text presents generalized linear multilevel models from a Bayesian perspective, relying on a simple logical interpretation of Bayesian probability and maximum entropy. It covers from the basics of regression to multilevel models. The author also discusses measurement error, missing data, and Gaussian process models for spatial and network autocorrelation. By using complete R code examples throughout, this book provides a practical foundation for performing statistical inference. Designed for both PhD students and seasoned professionals in the natural and social sciences, it prepares them for more advanced or specialized statistical modeling. Web Resource The book is accompanied by an R package (rethinking) that is available on the author’s website and GitHub. The two core functions (map and map2stan) of this package allow a variety of statistical models to be constructed from standard model formulas.
Download or read book Computational Philosophy of Science written by Paul Thagard and published by MIT Press. This book was released on 1988 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: By applying research in artificial intelligence to problems in the philosophy of science, Paul Thagard develops an exciting new approach to the study of scientific reasoning. This approach uses computational ideas to shed light on how scientific theories are discovered, evaluated, and used in explanations. Thagard describes a detailed computational model of problem solving and discovery that provides a conceptually rich yet rigorous alternative to accounts of scientific knowledge based on formal logic, and he uses it to illuminate such topics as the nature of concepts, hypothesis formation, analogy, and theory justification.
Download or read book Conceptual Revolutions written by Paul Thagard and published by Princeton University Press. This book was released on 2018-06-05 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this path-breaking work, Paul Thagard draws on the history and philosophy of science, cognitive psychology, and the field of artificial intelligence to develop a theory of conceptual change capable of accounting for all major scientific revolutions. The history of science contains dramatic episodes of revolutionary change in which whole systems of concepts have been replaced by new systems. Thagard provides a new and comprehensive perspective on the transformation of scientific conceptual systems. Thagard examines the Copernican and the Darwinian revolutions and the emergence of Newton's mechanics, Lavoisier's oxygen theory, Einstein's theory of relativity, quantum theory, and the geological theory of plate tectonics. He discusses the psychological mechanisms by which new concepts and links between them are formed, and advances a computational theory of explanatory coherence to show how new theories can be judged to be superior to previous ones.
Download or read book Understanding Philosophy of Science written by James Ladyman and published by Routledge. This book was released on 2012-08-06 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Few can imagine a world without telephones or televisions; many depend on computers and the Internet as part of daily life. Without scientific theory, these developments would not have been possible. In this exceptionally clear and engaging introduction to philosophy of science, James Ladyman explores the philosophical questions that arise when we reflect on the nature of the scientific method and the knowledge it produces. He discusses whether fundamental philosophical questions about knowledge and reality might be answered by science, and considers in detail the debate between realists and antirealists about the extent of scientific knowledge. Along the way, central topics in philosophy of science, such as the demarcation of science from non-science, induction, confirmation and falsification, the relationship between theory and observation and relativism are all addressed. Important and complex current debates over underdetermination, inference to the best explaination and the implications of radical theory change are clarified and clearly explained for those new to the subject.
Download or read book Bayesian Rationality written by Mike Oaksford and published by Oxford University Press. This book was released on 2007-02-22 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: For almost 2,500 years, the Western concept of what is to be human has been dominated by the idea that the mind is the seat of reason - humans are, almost by definition, the rational animal. In this text a more radical suggestion for explaining these puzzling aspects of human reasoning is put forward.
Download or read book Error and the Growth of Experimental Knowledge written by Deborah G. Mayo and published by University of Chicago Press. This book was released on 1996-07-15 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: Preface1: Learning from Error 2: Ducks, Rabbits, and Normal Science: Recasting the Kuhn's-Eye View of Popper 3: The New Experimentalism and the Bayesian Way 4: Duhem, Kuhn, and Bayes 5: Models of Experimental Inquiry 6: Severe Tests and Methodological Underdetermination7: The Experimental Basis from Which to Test Hypotheses: Brownian Motion8: Severe Tests and Novel Evidence 9: Hunting and Snooping: Understanding the Neyman-Pearson Predesignationist Stance10: Why You Cannot Be Just a Little Bit Bayesian 11: Why Pearson Rejected the Neyman-Pearson (Behavioristic) Philosophy and a Note on Objectivity in Statistics12: Error Statistics and Peircean Error Correction 13: Toward an Error-Statistical Philosophy of Science ReferencesIndex Copyright © Libri GmbH. All rights reserved.
Download or read book Theories of Explanation written by Joseph C. Pitt and published by Oxford University Press on Demand. This book was released on 1988 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the publication of Carl Hempel and Paul Oppenheim's ground-breaking work "Studies in the Logic of Explanation," the theory of explanation has remained a major topic in the philosophy of science. This valuable collection provides readers with the opportunity to study some of the classic essays on the theory of explanation along with the best examples of the most recent work being done on the topic. In addition to the original Hempel and Oppenheim paper, the volume includes Scriven's critical reaction to it, Wilfrid Sellars's discussion of the problem of theoretical explanation, and pieces by Salmon, Railton, van Fraassen, Friedman, Kitcher, and Achinstein in which they demonstrate the vitality of the subject by extending the scope of the inquiry.
Download or read book Testing Scientific Theories written by John Earman and published by U of Minnesota Press. This book was released on 1983 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: Testing Scientific Theories was first published in 1984. Minnesota Archive Editions uses digital technology to make long-unavailable books once again accessible, and are published unaltered from the original University of Minnesota Press editions. Since much of a scientist's work consists of constructing arguments to show how experiments and observation bear on a particular theory, the methodologies of theory testing and their philosophical underpinnings are of vital concern to philosophers of science. Confirmation of scientific theories is the topic of Clark Glymour's important book Theory and Evidence,published in 1980. His negative thesis is that the two most widely discussed accounts of the methodology of theory testing - hypothetico-deductivism and Bayesianism - are flawed. The issues Glymour raises and his alternative "bootstrapping" method provided the focus for a conference sponsored by the Minnesota Center for Philosophy of Science and for this book. As editor John Earman says in his preface, the papers presented in Testing Scientific Theories germinate so many new ideas that philosophers of science will reap the harvest for years to come. Topics covered include a discussion of Glymour's bootstrapping theory of confirmation, the Bayesian perspective and the problems of old evidence, evidence and explanation, historical case studies, alternative views on testing theories, and testing particular theories, including psychoanalytic hypotheses and hypotheses about the completeness of the fossil record.
Download or read book Best Explanations written by Kevin McCain and published by Oxford University Press. This book was released on 2017 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: Twenty philosophers offer new essays examining the form of reasoning known as inference to the best explanation - widely used in science and in our everyday lives, yet still controversial. Best Explanations represents the state of the art when it comes to understanding, criticizing, and defending this form of reasoning.
