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,...
In this classic, David Bohm was the first to offer us his causal interpretation of the quantum theory. Causality and Chance in Modern Physics continues to make possible further insight into the meaning of the quantum theory and to suggest ways of extending the theory into new directions.
In this important first book in the series Cambridge Studies in Probability, Induction and Decision Theory, Ellery Eells explores and refines current philosophical conceptions of probabilistic causality. In a probabilistic theory of causation, causes increase the probability of their effects rather than necessitate their effects in the ways traditional deterministic theories have specified. Philosophical interest in this subject arises from attempts to understand population sciences as well as indeterminism in physics. Taking into account issues involving spurious correlation, probabilistic causal interaction, disjunctive causal factors, and temporal ideas, Professor Eells advances the analysis of what it is for one factor to be a positive causal factor for another. A salient feature of the book is a new theory of token level probabilistic causation in which the evolution of the probability of a later event from an earlier event is central.
DIVImportant, non-technical, clearly written examination of causality, including discussion of empirical and romantic critiques. /div
First published in 2001, Causality in Macroeconomics addresses the long-standing problems of causality while taking macroeconomics seriously. The practical concerns of the macroeconomist and abstract concerns of the philosopher inform each other. Grounded in pragmatic realism, the book rejects the popular idea that macroeconomics requires microfoundations, and argues that the macroeconomy is a set of structures that are best analyzed causally. Ideas originally due to Herbert Simon and the Cowles Commission are refined and generalized to non-linear systems, particularly to the non-linear systems with cross-equation restrictions that are ubiquitous in modern macroeconomic models with rational expectations (with and without regime-switching). These ideas help to clarify philosophical as well as economic issues. The structural approach to causality is then used to evaluate more familiar approaches to causality due to Granger, LeRoy and Glymour, Spirtes, Scheines and Kelly, as well as vector autoregressions, the Lucas critique, and the exogeneity concepts of Engle, Hendry and Richard.
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.
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.
For over two decades Wesley Salmon has helped to shape the course of debate in philosophy of science. He is a major contributor to the philosophical discussion of problems associated with causality and the author of two influential books on scientific explanation. This long-awaited volume collects twenty- six of Salmon's essays, including seven that have never before been published and others difficult to find. Part I comprises five introductory essays that presuppose no formal training in philosophy of science and form a background for subsequent essays. Parts II and III contain Salmon's seminal work on scientific explanation and causality. Part IV offers survey articles that feature advanced material but remain accessible to those outside philosophy of science. Essays in Part V address specific issues in particular scientific disciplines, namely, archaeology and anthropology, astrophysics and cosmology, and physics. Clear, compelling, and essential, this volume offers a superb introduction to philosophy of science for nonspecialists and belongs on the bookshelf of all who carry out work in this exciting field. Wesley Salmon is renowned for his seminal contributions to the philosophy of science. He has powerfully and permanently shaped discussion of such issues as lawlike and probabilistic explanation and the interrelation of explanatory notions to causal notions. This unique volume brings together twenty-six of his essays on subjects related to causality and explanation, written over the period 1971-1995. Six of the essays have never been published before and many others have only appeared in obscure venues. The volume includes a section of accessible introductory pieces, as well as more advanced and technical pieces, and will make essential work in the philosophy of science readily available to both scholars and students.
Which causal patterns are involved in mental processes? On what mechanisms does the self-organisation of cognitive structure rest? Can a naturalistic view account for the basic resources of intentionality, while avoiding the objections to reductive materialism?By considering the developmental, phenomenological and biological aspects linking mind and causality, this volume offers a state-of-the art theoretical proposal emphasising the fine-tuning of cognition with the complexity of bodily dynamics.In contrast to the de-coupling of mind from the physical environment in classical information-processing models, growth of brain s architecture and stabilisation of perception- action cycles are considered decisive, with no need for an eliminative approach to representations pursued by neural network models. The tools provided by physics and biology for the description of massive causal interactions, on top of which qualitative changes occur, are exploited to suggest a model of the mind as a many-layered, co-evolving system. (Series A)
This book offers a welcome expansion on key concepts, terms, and issues in causality. It brings much needed clarity to psychological injury assessments and the legal contexts that employ them. Focusing on PTSD, traumatic brain injury, and chronic pain (and grounding readers in salient U.S. and Canadian case law), the book sets out a multifactorial causality framework to facilitate admissibility of psychological evidence in court.
A book about Kant's views on causality as understood in their proper historical context.
The author seeks to examine the methodological and philosophical status of non-autonomous, that is, causal linguistics.
A state of the art volume on statistical causality Causality: Statistical Perspectives and Applications presents a wide-ranging collection of seminal contributions by renowned experts in the field, providing a thorough treatment of all aspects of statistical causality. It covers the various formalisms in current use, methods for applying them to specific problems, and the special requirements of a range of examples from medicine, biology and economics to political science. This book: Provides a clear account and comparison of formal languages, concepts and models for statistical causality. Addresses examples from medicine, biology, economics and political science to aid the reader's understanding. Is authored by leading experts in their field. Is written in an accessible style. Postgraduates, professional statisticians and researchers in academia and industry will benefit from this book.
Kant on Causality, Freedom, and Objectivity 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. Kant's account of causation is central to his views on objective truth and freedom. The Second Analogy of Experience, in the Critique of Pure Reason,where he provides his defense of the causal principle, has long been the focus of intense philosophical research. In the past twenty years, there have been two major periods of interest in Kantian themes, The first coincided with a general turn away from positivism by analytic philosophers, and resulted in a fruitful interchange between Kant scholars and those who applied Kantian ideas to contemporary philosophical problems. In recent years, a new surge of interest in Kant's work occurred along with the developing controversy over realism generated by the work of Dummett and Putnam. Scholars now appreciate the extent to which the Kantian causal principle is illuminated by the philosopher's argument that his transcendental idealism supports an empirical realism. And in turn, Kant's views on objectivity, causation, and freedom are especially relevant to the philosophical concerns raised by the new debate over realism. The eight papers in this book are drawn from two conferences that honored Lewis White Beck, an influential Kant scholar. Together with the introductory essay by the editors, they show the continuing relevance of Kant's analysis for the present-day philosophy of causation.
This book brings important new dimensions to the interface between contemporary Western science and ancient Eastern wisdom. Here for the first time the concepts and insights of general systems theory are presented in tandem with those of the Buddha. Remarkable convergences appear between core Buddhist teachings and the systems view of reality, arising in our century from biology and extending into the social and cognitive sciences. Giving a cogent introduction to both bodies of thought, and a fresh interpretation of the Buddha’s core teaching of dependent co-arising, this book shows how their common perspective on causality can inform our lives. The interdependence of all beings provides the context for clarifying both the role of meditative practice and guidelines for effective action on behalf of the common good.
Head hits cause brain damage - but not always. Should we ban sport to protect athletes? Exposure to electromagnetic fields is strongly associated with cancer development - does that mean exposure causes cancer? Should we encourage old fashioned communication instead of mobile phones to reduce cancer rates? According to popular wisdom, the Mediterranean diet keeps you healthy. Is this belief scientifically sound? Should public health bodies encourage consumption of fresh fruit and vegetables? Severe financial constraints on research and public policy, media pressure, and public anxiety make such questions of immense current concern not just to philosophers but to scientists, governments, public bodies, and the general public. In the last decade there has been an explosion of theorizing about causality in philosophy, and also in the sciences. This literature is both fascinating and important, but it is involved and highly technical. This makes it inaccessible to many who would like to use it, philosophers and scientists alike. This book is an introduction to philosophy of causality - one that is highly accessible: to scientists unacquainted with philosophy, to philosophers unacquainted with science, and to anyone else lost in the labyrinth of philosophical theories of causality. It presents key philosophical accounts, concepts and methods, using examples from the sciences to show how to apply philosophical debates to scientific problems.
Teleology - the inquiry into the goals or goods at which nature, history, God, and human beings aim - is among the most fundamental yet controversial themes in the history of philosophy. Are there ends in nonhuman nature? Does human history have a goal? Do humanly unintended events of great significance express some sort of purpose? Do human beings have ends prior to choice? The essays in this volume address the abiding questions of final causality. The chapters are arranged in historical order from Aristotle through Hegel to contemporary anthropic-principle cosmology.
Causality and Dispersion Relations

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