Author : M. Hewitson
Publisher : Springer
Page : 270 pages
File Size : 27,5 MB
Release : 2014-01-22
Category : History
ISBN : 1137372400
This volume investigates the different attitudes of historians and other social scientists to questions of causality. It argues that historical theorists after the linguistic turn have paid surprisingly little attention to causes in spite of the centrality of causation in many contemporary works of history.
Author : Stephen Kern
Publisher : Princeton University Press
Page : 448 pages
File Size : 26,59 MB
Release : 2009-01-10
Category : History
ISBN : 1400826233
This pioneering work is the first to trace how our understanding of the causes of human behavior has changed radically over the course of European and American cultural history since 1830. Focusing on the act of murder, as documented vividly by more than a hundred novels including Crime and Punishment, An American Tragedy, The Trial, and Lolita, Stephen Kern devotes each chapter of A Cultural History of Causality to examining a specific causal factor or motive for murder--ancestry, childhood, language, sexuality, emotion, mind, society, and ideology. In addition to drawing on particular novels, each chapter considers the sciences (genetics, endocrinology, physiology, neuroscience) and systems of thought (psychoanalysis, linguistics, sociology, forensic psychiatry, and existential philosophy) most germane to each causal factor or motive. Kern identifies five shifts in thinking about causality, shifts toward increasing specificity, multiplicity, complexity, probability, and uncertainty. He argues that the more researchers learned about the causes of human behavior, the more they realized how much more there was to know and how little they knew about what they thought they knew. The book closes by considering the revolutionary impact of quantum theory, which, though it influenced novelists only marginally, shattered the model of causal understanding that had dominated Western thought since the seventeenth century. Others have addressed changing ideas about causality in specific areas, but no one has tackled a broad cultural history of this concept as does Stephen Kern in this engagingly written and lucidly argued book.
Author : Judea Pearl
Publisher : Cambridge University Press
Page : 487 pages
File Size : 24,58 MB
Release : 2009-09-14
Category : Computers
ISBN : 052189560X
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 : Helen Beebee
Publisher : OUP Oxford
Page : 816 pages
File Size : 50,40 MB
Release : 2012-01-12
Category : Philosophy
ISBN : 0191629464
Causation is a central topic in many areas of philosophy. In metaphysics, philosophers want to know what causation is, and how it is related to laws of nature, probability, action, and freedom of the will. In epistemology, philosophers investigate how causal claims can be inferred from statistical data, and how causation is related to perception, knowledge and explanation. In the philosophy of mind, philosophers want to know whether and how the mind can be said to have causal efficacy, and in ethics, whether there is a moral distinction between acts and omissions and whether the moral value of an act can be judged according to its consequences. And causation is a contested concept in other fields of enquiry, such as biology, physics, and the law. This book provides an in-depth and comprehensive overview of these and other topics, as well as the history of the causation debate from the ancient Greeks to the logical empiricists. The chapters provide surveys of contemporary debates, while often also advancing novel and controversial claims; and each includes a comprehensive bibliography and suggestions for further reading. The book is thus the most comprehensive source of information about causation currently available, and will be invaluable for upper-level undergraduates through to professional philosophers.
Author : Samantha Kleinberg
Publisher : Cambridge University Press
Page : 269 pages
File Size : 22,76 MB
Release : 2013
Category : Computers
ISBN : 1107026482
Presents a new approach to causal inference and explanation, addressing both the timing and complexity of relationships.
Author : Judea Pearl
Publisher : Basic Books
Page : 432 pages
File Size : 11,38 MB
Release : 2018-05-15
Category : Computers
ISBN : 0465097618
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 : John Losee
Publisher : Transaction Publishers
Page : 219 pages
File Size : 13,39 MB
Release : 2011
Category : Philosophy
ISBN : 141281832X
What types of entities qualify as "causes" and "effects"? What is the relationship between cause and effect? How are causal claims to be assessed? The first question deals with the structure of the world; the second is about theories that interpret the relationship of causes to effects; while the third has to do with proper procedure in science and everyday life. This volume is a wide-ranging history of answers that have been given to these three questions, and their relationship to scientific understanding. Losee presents a number of theories of causality within a historical survey that emphasies the interrelationship between these theories and developments in science. His analysis displays the strengths and weaknesses of these theories so as to contribute to our present understanding of causal relatedness. Among the positions discussed are those of Aristotle, Hume, Kant, Mill, Salmon, Lewis, and Woodward. Losee's analysis displays the strengths and weaknesses of theories that identify causal relatedness with regularity of sequence, probability increase, energy transfer, exchange of a conserved quantity, counterfactual dependence, and inferability. These theories are judged, in part, by their ability to resolve difficulties posed by instances of overdetermination, causation by omission, preventive causation, and causation by disconnection. Since applications of the theories to these instances disagree, a strategy of employing multiple concepts of causation is examined.  Theories of Causality also describes the particular difficulties for causal analysis posed by quantum mechanics. One such difficulty is the prohibition against combining a causal analysis of a quantum process with a spatio-temporal description of that process.
Author : Peter J. Riggs
Publisher : Springer Science & Business Media
Page : 240 pages
File Size : 33,96 MB
Release : 2009-06-05
Category : Science
ISBN : 9048124034
There is no sharp dividing line between the foundations of physics and philosophy of physics. This is especially true for quantum mechanics. The debate on the interpretation of quantum mechanics has raged in both the scientific and philosophical communities since the 1920s and continues to this day. (We shall understand the unqualified term ‘quantum mechanics’ to mean the mathematical formalism, i. e. laws and rules by which empirical predictions and theoretical advances are made. ) There is a popular rendering of quantum mechanics which has been publicly endorsed by some well known physicists which says that quantum mechanics is not only 1 more weird than we imagine but is weirder than we can imagine. Although it is readily granted that quantum mechanics has produced some strange and counter-intuitive results, the case will be presented in this book that quantum mechanics is not as weird as we might have been led to believe! The prevailing theory of quantum mechanics is called Orthodox Quantum Theory (also known as the Copenhagen Interpretation). Orthodox Quantum Theory endows a special status on measurement processes by requiring an intervention of an observer or an observer’s proxy (e. g. a measuring apparatus). The placement of the observer (or proxy) is somewhat arbitrary which introduces a degree of subjectivity. Orthodox Quantum Theory only predicts probabilities for measured values of physical quantities. It is essentially an instrumental theory, i. e.
Author : Joseph Y. Halpern
Publisher : MIT Press
Page : 240 pages
File Size : 37,53 MB
Release : 2016-08-12
Category : Computers
ISBN : 0262035022
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 : Phyllis McKay Illari
Publisher : Oxford University Press
Page : 953 pages
File Size : 18,51 MB
Release : 2011-03-17
Category : Mathematics
ISBN : 0199574138
Why do ideas of how mechanisms relate to causality and probability differ so much across the sciences? Can progress in understanding the tools of causal inference in some sciences lead to progress in others? This book tackles these questions and others concerning the use of causality in the sciences.
