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Author: M. Hulswit
Publisher: Springer Science & Business Media
ISBN: 9401002975
Category : Philosophy
Languages : en
Pages : 278
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Book Description
From Cause to Causation presents both a critical analysis of C.S. Peirce's conception of causation, and a novel approach to causation, based upon the semeiotic of Peirce. The book begins with a review of the history of causation, and with a critical discussion of contemporary theories of the concept of `cause'. The author uncovers a number of inadequacies in the received views of causation, and discusses their historical roots. He makes a distinction between "causality", which is the relation between cause and effect, and causation, which is the production of a certain effect. He argues that, by focusing on causality, the contemporary theories fatally neglect the more fundamental problem of causation. The author successively discusses Peirce's theories of final causation, natural classes, semeiotic, and semeiotic causation. Finally, he uses Peirce's semeiotic to develop a new approach to causation, which relates causation to our experience of signs.
Author: M. Hulswit
Publisher: Springer Science & Business Media
ISBN: 9401002975
Category : Philosophy
Languages : en
Pages : 278
Get Book Here
Book Description
From Cause to Causation presents both a critical analysis of C.S. Peirce's conception of causation, and a novel approach to causation, based upon the semeiotic of Peirce. The book begins with a review of the history of causation, and with a critical discussion of contemporary theories of the concept of `cause'. The author uncovers a number of inadequacies in the received views of causation, and discusses their historical roots. He makes a distinction between "causality", which is the relation between cause and effect, and causation, which is the production of a certain effect. He argues that, by focusing on causality, the contemporary theories fatally neglect the more fundamental problem of causation. The author successively discusses Peirce's theories of final causation, natural classes, semeiotic, and semeiotic causation. Finally, he uses Peirce's semeiotic to develop a new approach to causation, which relates causation to our experience of signs.
Author: Judea Pearl
Publisher: Basic Books
ISBN: 0465097618
Category : Computers
Languages : en
Pages : 432
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Book Description
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.
Author: Joseph Y. Halpern
Publisher: MIT Press
ISBN: 0262035022
Category : Computers
Languages : en
Pages : 240
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Book Description
Explores actual causality, and such related notions as degree of responsibility, degree of blame, and causal explanation. The goal is to arrive at a definition of causality that matches our natural language usage and is helpful, for example, to a jury deciding a legal case, a programmer looking for the line of code that cause some software to fail, or an economist trying to determine whether austerity caused a subsequent depression.
Author: Tad M. Schmaltz
Publisher: Oxford University Press, USA
ISBN: 0199782172
Category : Philosophy
Languages : en
Pages : 395
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Book Description
This volume is a collection of new essays by specialists that trace the concept of efficient causation from its discovery (or invention) in Ancient Greece, through its development in late antiquity, the medieval period, and modern philosophy, to its use in contemporary metaphysics and philosophy of science.
Author: Judea Pearl
Publisher: Cambridge University Press
ISBN: 052189560X
Category : Computers
Languages : en
Pages : 487
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Book Description
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 ...
Author: Phil Dowe
Publisher: Routledge
ISBN: 1134419279
Category : Philosophy
Languages : en
Pages : 225
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Book Description
Philosophers have long been fascinated by the connection between cause and effect: are 'causes' things we can experience, or are they concepts provided by our minds? The study of causation goes back to Aristotle, but resurged with David Hume and Immanuel Kant, and is now one of the most important topics in metaphysics. Most of the recent work done in this area has attempted to place causation in a deterministic, scientific, worldview. But what about the unpredictable and chancey world we actually live in: can one theory of causation cover all instances of cause and effect? Cause and Chance: Causation in an Indeterministic World is a collection of specially written papers by world-class metaphysicians. Its focus is the problem facing the 'reductionist' approach to causation: the attempt to cover all types of causation, deterministic and indeterministic, with one basic theory. Contributors: Stephen Barker, Helen Beebee, Phil Dowe, Dorothy Edgington, Doug Ehring, Chris Hitchcock, Igal Kwart, Paul Noordhof, Murali Ramachandran and Michael Tooley.
Author: Scott Cunningham
Publisher: Yale University Press
ISBN: 0300255888
Category : Business & Economics
Languages : en
Pages : 585
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Book Description
An accessible, contemporary introduction to the methods for determining cause and effect in the Social Sciences “Causation versus correlation has been the basis of arguments—economic and otherwise—since the beginning of time. Causal Inference: The Mixtape uses legit real-world examples that I found genuinely thought-provoking. It’s rare that a book prompts readers to expand their outlook; this one did for me.”—Marvin Young (Young MC) Causal inference encompasses the tools that allow social scientists to determine what causes what. In a messy world, causal inference is what helps establish the causes and effects of the actions being studied—for example, the impact (or lack thereof) of increases in the minimum wage on employment, the effects of early childhood education on incarceration later in life, or the influence on economic growth of introducing malaria nets in developing regions. Scott Cunningham introduces students and practitioners to the methods necessary to arrive at meaningful answers to the questions of causation, using a range of modeling techniques and coding instructions for both the R and the Stata programming languages.
Author: Miquel A. Hernan
Publisher: CRC Press
ISBN: 9781420076165
Category : Medical
Languages : en
Pages : 352
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Book Description
The application of causal inference methods is growing exponentially in fields that deal with observational data. Written by pioneers in the field, this practical book presents an authoritative yet accessible overview of the methods and applications of causal inference. With a wide range of detailed, worked examples using real epidemiologic data as well as software for replicating the analyses, the text provides a thorough introduction to the basics of the theory for non-time-varying treatments and the generalization to complex longitudinal data.
Author: Stephen Mumford
Publisher: Oxford University Press, USA
ISBN: 019969561X
Category : Philosophy
Languages : en
Pages : 271
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Book Description
Causation is everywhere in the world: it features in every science and technology. But how much do we understand it? Here, the authors develop a new theory of causation based on an ontology of real powers or dispositions. They provide the first detailed outline of a thoroughly dispositional approach, and explore its surprising features.
Author: Yemima Ben-Menahem
Publisher: Princeton University Press
ISBN: 1400889294
Category : Science
Languages : en
Pages : 221
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Book Description
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.
