Probabilistic Causality And The Foundations Of Modern Science

Download Probabilistic Causality And The Foundations Of Modern Science full books in PDF, epub, and Kindle. Read online Probabilistic Causality And The Foundations Of Modern Science ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

The Book of Why

Author : Judea Pearl
Publisher : Basic Books
ISBN 13 : 0465097618
Total Pages : 432 pages
Book Rating : 4.4/5 (65 download)

DOWNLOAD NOW!

Book Synopsis The Book of Why by : Judea Pearl

Download or read book The Book of Why written by Judea Pearl and published by Basic Books. This book was released on 2018-05-15 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Turing Award-winning computer scientist and statistician shows how understanding causality has revolutionized science and will revolutionize artificial intelligence "Correlation is not causation." This mantra, chanted by scientists for more than a century, has led to a virtual prohibition on causal talk. Today, that taboo is dead. The causal revolution, instigated by Judea Pearl and his colleagues, has cut through a century of confusion and established causality -- the study of cause and effect -- on a firm scientific basis. His work explains how we can know easy things, like whether it was rain or a sprinkler that made a sidewalk wet; and how to answer hard questions, like whether a drug cured an illness. Pearl's work enables us to know not just whether one thing causes another: it lets us explore the world that is and the worlds that could have been. It shows us the essence of human thought and key to artificial intelligence. Anyone who wants to understand either needs The Book of Why.

Causality, Probability, and Medicine

Author : Donald Gillies
Publisher : Routledge
ISBN 13 : 1317564286
Total Pages : 248 pages
Book Rating : 4.3/5 (175 download)

DOWNLOAD NOW!

Book Synopsis Causality, Probability, and Medicine by : Donald Gillies

Download or read book Causality, Probability, and Medicine written by Donald Gillies and published by Routledge. This book was released on 2018-08-15 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Why is understanding causation so important in philosophy and the sciences? Should causation be defined in terms of probability? Whilst causation plays a major role in theories and concepts of medicine, little attempt has been made to connect causation and probability with medicine itself. Causality, Probability, and Medicine is one of the first books to apply philosophical reasoning about causality to important topics and debates in medicine. Donald Gillies provides a thorough introduction to and assessment of competing theories of causality in philosophy, including action-related theories, causality and mechanisms, and causality and probability. Throughout the book he applies them to important discoveries and theories within medicine, such as germ theory; tuberculosis and cholera; smoking and heart disease; the first ever randomized controlled trial designed to test the treatment of tuberculosis; the growing area of philosophy of evidence-based medicine; and philosophy of epidemiology. This book will be of great interest to students and researchers in philosophy of science and philosophy of medicine, as well as those working in medicine, nursing and related health disciplines where a working knowledge of causality and probability is required.

Causality, Probability, and Time

Author : Samantha Kleinberg
Publisher : Cambridge University Press
ISBN 13 : 1107026482
Total Pages : 269 pages
Book Rating : 4.1/5 (7 download)

DOWNLOAD NOW!

Book Synopsis Causality, Probability, and Time by : Samantha Kleinberg

Download or read book Causality, Probability, and Time written by Samantha Kleinberg and published by Cambridge University Press. This book was released on 2013 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents a new approach to causal inference and explanation, addressing both the timing and complexity of relationships.

The Why of Things

Author : Peter V. Rabins
Publisher : Columbia University Press
ISBN 13 : 0231535457
Total Pages : 297 pages
Book Rating : 4.2/5 (315 download)

DOWNLOAD NOW!

Book Synopsis The Why of Things by : Peter V. Rabins

Download or read book The Why of Things written by Peter V. Rabins and published by Columbia University Press. This book was released on 2013-08-20 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: Why was there a meltdown at the Fukushima power plant? Why do some people get cancer and not others? Why is global warming happening? Why does one person get depressed in the face of life's vicissitudes while another finds resilience? Questions like these—questions of causality—form the basis of modern scientific inquiry, posing profound intellectual and methodological challenges for researchers in the physical, natural, biomedical, and social sciences. In this groundbreaking book, noted psychiatrist and author Peter Rabins offers a conceptual framework for analyzing daunting questions of causality. Navigating a lively intellectual voyage between the shoals of strict reductionism and relativism, Rabins maps a three-facet model of causality and applies it to a variety of questions in science, medicine, economics, and more. Throughout this book, Rabins situates his argument within relevant scientific contexts, such as quantum mechanics, cybernetics, chaos theory, and epigenetics. A renowned communicator of complex concepts and scientific ideas, Rabins helps readers stretch their minds beyond the realm of popular literary tipping points, blinks, and freakonomic explanations of the world.

Causality

Author : Judea Pearl
Publisher : Cambridge University Press
ISBN 13 : 052189560X
Total Pages : 487 pages
Book Rating : 4.5/5 (218 download)

DOWNLOAD NOW!

Book Synopsis Causality by : Judea Pearl

Download or read book Causality written by Judea Pearl and published by Cambridge University Press. This book was released on 2009-09-14 with total page 487 pages. Available in PDF, EPUB and Kindle. Book excerpt: Causality offers the first comprehensive coverage of causal analysis in many sciences, including recent advances using graphical methods. Pearl presents a unified account of the probabilistic, manipulative, counterfactual and structural approaches to causation, and devises simple mathematical tools for analyzing the relationships between causal connections, statistical associations, actions and observations. The book will open the way for including causal analysis in the standard curriculum of statistics, artificial intelligence ...

Probabilistic Machine Learning

Author : Kevin P. Murphy
Publisher : MIT Press
ISBN 13 : 0262369303
Total Pages : 858 pages
Book Rating : 4.2/5 (623 download)

DOWNLOAD NOW!

Book Synopsis Probabilistic Machine Learning by : Kevin P. Murphy

Download or read book Probabilistic Machine Learning written by Kevin P. Murphy and published by MIT Press. This book was released on 2022-03-01 with total page 858 pages. Available in PDF, EPUB and Kindle. Book excerpt: A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory. This book offers a detailed and up-to-date introduction to machine learning (including deep learning) through the unifying lens of probabilistic modeling and Bayesian decision theory. The book covers mathematical background (including linear algebra and optimization), basic supervised learning (including linear and logistic regression and deep neural networks), as well as more advanced topics (including transfer learning and unsupervised learning). End-of-chapter exercises allow students to apply what they have learned, and an appendix covers notation. Probabilistic Machine Learning grew out of the author’s 2012 book, Machine Learning: A Probabilistic Perspective. More than just a simple update, this is a completely new book that reflects the dramatic developments in the field since 2012, most notably deep learning. In addition, the new book is accompanied by online Python code, using libraries such as scikit-learn, JAX, PyTorch, and Tensorflow, which can be used to reproduce nearly all the figures; this code can be run inside a web browser using cloud-based notebooks, and provides a practical complement to the theoretical topics discussed in the book. This introductory text will be followed by a sequel that covers more advanced topics, taking the same probabilistic approach.

The Place of Probability in Science

Author : Ellery Eells
Publisher : Springer Science & Business Media
ISBN 13 : 9048136156
Total Pages : 396 pages
Book Rating : 4.0/5 (481 download)

DOWNLOAD NOW!

Book Synopsis The Place of Probability in Science by : Ellery Eells

Download or read book The Place of Probability in Science written by Ellery Eells and published by Springer Science & Business Media. This book was released on 2010-06-08 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: Science aims at the discovery of general principles of special kinds that are applicable for the explanation and prediction of the phenomena of the world in the form of theories and laws. When the phenomena themselves happen to be general, the principlesinvolved assume the form of theories; and when they are p- ticular, they assume the form of general laws. Theories themselves are sets of laws and de nitions that apply to a common domain, which makes laws indispensable to science. Understanding science thus depends upon understanding the nature of theories and laws, the logical structure of explanations and predictions based upon them, and the principles of inference and decision that apply to theories and laws. Laws and theories can differ in their form as well as in their content. The laws of quantum mechanics are indeterministic (or probabilistic), for example, while those of classical mechanics are deterministic (or universal) instead. The history of science re ects an increasing role for probabilities as properties of the world but also as measures of evidential support and as degrees of subjective belief. Our purpose is to clarify and illuminate the place of probability in science.

Good Thinking

Author : Irving J. Good
Publisher : Courier Corporation
ISBN 13 : 0486474380
Total Pages : 353 pages
Book Rating : 4.4/5 (864 download)

DOWNLOAD NOW!

Book Synopsis Good Thinking by : Irving J. Good

Download or read book Good Thinking written by Irving J. Good and published by Courier Corporation. This book was released on 2009-11-18 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: These sparkling essays by a gifted thinker offer philosophical views on the roots of statistical interference. A pioneer in the early development of computing, Irving J. Good made fundamental contributions to the theory of Bayesian inference and was a key member of the team that broke the German Enigma code during World War II. Good maintains that a grasp of probability is essential to answering both practical and philosophical questions. This compilation of his most accessible works concentrates on philosophical rather than mathematical subjects, ranging from rational decisions, randomness, and the nature of probability to operational research, artificial intelligence, cognitive psychology, and chess. These twenty-three self-contained articles represent the author's work in a variety of fields but are unified by a consistently rational approach. Five closely related sections explore Bayesian rationality; probability; corroboration, hypothesis testing, and simplicity; information and surprise; and causality and explanation. A comprehensive index, abundant references, and a bibliography refer readers to classic and modern literature. Good's thought-provoking observations and memorable examples provide scientists, mathematicians, and historians of science with a coherent view of probability and its applications.

The Art of Causal Conjecture

Author : Glenn Shafer
Publisher : MIT Press
ISBN 13 : 9780262193689
Total Pages : 554 pages
Book Rating : 4.1/5 (936 download)

DOWNLOAD NOW!

Book Synopsis The Art of Causal Conjecture by : Glenn Shafer

Download or read book The Art of Causal Conjecture written by Glenn Shafer and published by MIT Press. This book was released on 1996 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: In The Art of Causal Conjecture, Glenn Shafer lays out a new mathematical and philosophical foundation for probability and uses it to explain concepts of causality used in statistics, artificial intelligence, and philosophy. The various disciplines that use causal reasoning differ in the relative weight they put on security and precision of knowledge as opposed to timeliness of action. The natural and social sciences seek high levels of certainty in the identification of causes and high levels of precision in the measurement of their effects. The practical sciences -- medicine, business, engineering, and artificial intelligence -- must act on causal conjectures based on more limited knowledge. Shafer's understanding of causality contributes to both of these uses of causal reasoning. His language for causal explanation can guide statistical investigation in the natural and social sciences, and it can also be used to formulate assumptions of causal uniformity needed for decision making in the practical sciences. Causal ideas permeate the use of probability and statistics in all branches of industry, commerce, government, and science. The Art of Causal Conjecture shows that causal ideas can be equally important in theory. It does not challenge the maxim that causation cannot be proven from statistics alone, but by bringing causal ideas into the foundations of probability, it allows causal conjectures to be more clearly quantified, debated, and confronted by statistical evidence.

A Realistic Theory of Science

Author : Clifford Alan Hooker
Publisher : SUNY Press
ISBN 13 : 9780887063169
Total Pages : 494 pages
Book Rating : 4.0/5 (631 download)

DOWNLOAD NOW!

Book Synopsis A Realistic Theory of Science by : Clifford Alan Hooker

Download or read book A Realistic Theory of Science written by Clifford Alan Hooker and published by SUNY Press. This book was released on 1987-02-20 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a clear and critical view of the orthodox logical empiricist tradition, pointing the way to significant developments for the understanding of science both as research and as culture. It summarizes the present confused and highly polarized status of the orthodox philosophy of science. It exhibits clearly the fundamental metaphysical and global presuppositions and confusions that have led to this status. It provides a positive point of view from which progress can be made toward understanding science as research done by real scientists rather than science as exemplifying some prior epistemological program created by philosophers. And it leads directly to an understanding of science as a dynamic force within our society with consequences for the environment and public policy.

Causality and Causal Modelling in the Social Sciences

Author : Federica Russo
Publisher : Springer Science & Business Media
ISBN 13 : 1402088175
Total Pages : 236 pages
Book Rating : 4.4/5 (2 download)

DOWNLOAD NOW!

Book Synopsis Causality and Causal Modelling in the Social Sciences by : Federica Russo

Download or read book Causality and Causal Modelling in the Social Sciences written by Federica Russo and published by Springer Science & Business Media. This book was released on 2008-09-18 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: This investigation into causal modelling presents the rationale of causality, i.e. the notion that guides causal reasoning in causal modelling. It is argued that causal models are regimented by a rationale of variation, nor of regularity neither invariance, thus breaking down the dominant Human paradigm. The notion of variation is shown to be embedded in the scheme of reasoning behind various causal models. It is also shown to be latent – yet fundamental – in many philosophical accounts. Moreover, it has significant consequences for methodological issues: the warranty of the causal interpretation of causal models, the levels of causation, the characterisation of mechanisms, and the interpretation of probability. This book offers a novel philosophical and methodological approach to causal reasoning in causal modelling and provides the reader with the tools to be up to date about various issues causality rises in social science.

Causation in History

Author : Indu Banga
Publisher :
ISBN 13 :
Total Pages : 66 pages
Book Rating : 4.:/5 (89 download)

DOWNLOAD NOW!

Book Synopsis Causation in History by : Indu Banga

Download or read book Causation in History written by Indu Banga and published by . This book was released on 1992 with total page 66 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Probabilistic Graphical Models

Author : Daphne Koller
Publisher : MIT Press
ISBN 13 : 0262258358
Total Pages : 1270 pages
Book Rating : 4.2/5 (622 download)

DOWNLOAD NOW!

Book Synopsis Probabilistic Graphical Models by : Daphne Koller

Download or read book Probabilistic Graphical Models written by Daphne Koller and published by MIT Press. This book was released on 2009-07-31 with total page 1270 pages. Available in PDF, EPUB and Kindle. Book excerpt: A general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available information for making decisions. Most tasks require a person or an automated system to reason—to reach conclusions based on available information. The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning algorithms. These models can also be learned automatically from data, allowing the approach to be used in cases where manually constructing a model is difficult or even impossible. Because uncertainty is an inescapable aspect of most real-world applications, the book focuses on probabilistic models, which make the uncertainty explicit and provide models that are more faithful to reality. Probabilistic Graphical Models discusses a variety of models, spanning Bayesian networks, undirected Markov networks, discrete and continuous models, and extensions to deal with dynamical systems and relational data. For each class of models, the text describes the three fundamental cornerstones: representation, inference, and learning, presenting both basic concepts and advanced techniques. Finally, the book considers the use of the proposed framework for causal reasoning and decision making under uncertainty. The main text in each chapter provides the detailed technical development of the key ideas. Most chapters also include boxes with additional material: skill boxes, which describe techniques; case study boxes, which discuss empirical cases related to the approach described in the text, including applications in computer vision, robotics, natural language understanding, and computational biology; and concept boxes, which present significant concepts drawn from the material in the chapter. Instructors (and readers) can group chapters in various combinations, from core topics to more technically advanced material, to suit their particular needs.

Causation in Science

Author : Yemima Ben-Menahem
Publisher : Princeton University Press
ISBN 13 : 1400889294
Total Pages : 221 pages
Book Rating : 4.4/5 (8 download)

DOWNLOAD NOW!

Book Synopsis Causation in Science by : Yemima Ben-Menahem

Download or read book Causation in Science written by Yemima Ben-Menahem and published by Princeton University Press. This book was released on 2018-06-12 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the role of causal constraints in science, shifting our attention from causal relations between individual events--the focus of most philosophical treatments of causation—to a broad family of concepts and principles generating constraints on possible change. Yemima Ben-Menahem looks at determinism, locality, stability, symmetry principles, conservation laws, and the principle of least action—causal constraints that serve to distinguish events and processes that our best scientific theories mandate or allow from those they rule out. Ben-Menahem's approach reveals that causation is just as relevant to explaining why certain events fail to occur as it is to explaining events that do occur. She investigates the conceptual differences between, and interrelations of, members of the causal family, thereby clarifying problems at the heart of the philosophy of science. Ben-Menahem argues that the distinction between determinism and stability is pertinent to the philosophy of history and the foundations of statistical mechanics, and that the interplay of determinism and locality is crucial for understanding quantum mechanics. Providing historical perspective, she traces the causal constraints of contemporary science to traditional intuitions about causation, and demonstrates how the teleological appearance of some constraints is explained away in current scientific theories such as quantum mechanics. Causation in Science represents a bold challenge to both causal eliminativism and causal reductionism—the notions that causation has no place in science and that higher-level causal claims are reducible to the causal claims of fundamental physics.

Causality and Modern Science

Author : Mario Bunge
Publisher : Courier Corporation
ISBN 13 : 0486144879
Total Pages : 450 pages
Book Rating : 4.4/5 (861 download)

DOWNLOAD NOW!

Book Synopsis Causality and Modern Science by : Mario Bunge

Download or read book Causality and Modern Science written by Mario Bunge and published by Courier Corporation. This book was released on 2012-09-19 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: "I regard it as a truly seminal work in this field." — Professor William A. Wallace, author of Causality and Scientific ExplanationThis third edition of a distinguished book on the subject of causality is clear evidence that this principle continues to be an important area of philosophic enquiry.Non-technical and clearly written, this book focuses on the ontological problem of causality, with specific emphasis on the place of the causal principle in modern science. The author first defines the terminology employed and describes various formulations on the causal principle. He then examines the two primary critiques of causality, the empiricist and the romantic, as a prelude to the detailed explanation of the actual assertions of causal determination. Finally, Dr. Bunge analyzes the function of the causal principle in science, touching on such subjects as scientific law, scientific explanation, and scientific prediction. Included, also, is an appendix that offers specific replies to questions and criticisms raised upon the publication of the first edition.Now professor of philosophy and head of the Foundation and Philosophy of Science Unit at McGill University in Montreal, Dr. Mario Bunge has formerly been a full professor of theoretical physics. His observations on causality are of great interest to both scientists and humanists, as well as the general scientific and philosophic reader.

Machine Learning

Author : Kevin P. Murphy
Publisher : MIT Press
ISBN 13 : 0262018020
Total Pages : 1102 pages
Book Rating : 4.2/5 (62 download)

DOWNLOAD NOW!

Book Synopsis Machine Learning by : Kevin P. Murphy

Download or read book Machine Learning written by Kevin P. Murphy and published by MIT Press. This book was released on 2012-08-24 with total page 1102 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach. Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach. The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package—PMTK (probabilistic modeling toolkit)—that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.

The Direction of Time

Author : Hans Reichenbach
Publisher : Courier Corporation
ISBN 13 : 0486137252
Total Pages : 303 pages
Book Rating : 4.4/5 (861 download)

DOWNLOAD NOW!

Book Synopsis The Direction of Time by : Hans Reichenbach

Download or read book The Direction of Time written by Hans Reichenbach and published by Courier Corporation. This book was released on 2012-10-10 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: Distinguished physicist examines emotive significance of time, time order of mechanics, time direction of thermodynamics and microstatistics, time direction of macrostatistics, time of quantum physics, more. 1971 edition.