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Causal Models How People Think About The World And Its Alternatives
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Download or read book Causal Models written by Steven Sloman and published by Oxford University Press. This book was released on 2009-04-17 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: In short, this book offers a discussion about how people think, talk, learn, and explain things in causal terms - in terms of action and manipulation."--Jacket.
Download or read book Causal Models written by Steven Sloman and published by . This book was released on 1970 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :Steven Sloman Professor of Psychology Brown University Publisher :Oxford University Press, USA ISBN 13 :0199728402 Total Pages :226 pages Book Rating :4.1/5 (997 download)
Book Synopsis Causal Models : How People Think about the World and Its Alternatives by : Steven Sloman Professor of Psychology Brown University
Download or read book Causal Models : How People Think about the World and Its Alternatives written by Steven Sloman Professor of Psychology Brown University and published by Oxford University Press, USA. This book was released on 2005-07-02 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human beings are active agents who can think. To understand how thought serves action requires understanding how people conceive of the relation between cause and effect, between action and outcome. In cognitive terms, how do people construct and reason with the causal models we use to represent our world? A revolution is occurring in how statisticians, philosophers, and computer scientists answer this question. Those fields have ushered in new insights about causal models by thinking about how to represent causal structure mathematically, in a framework that uses graphs and probability theory to develop what are called causal Bayesian networks. The framework starts with the idea that the purpose of causal structure is to understand and predict the effects of intervention. How does intervening on one thing affect other things? This is not a question merely about probability (or logic), but about action. The framework offers a new understanding of mind: Thought is about the effects of intervention and cognition is thus intimately tied to actions that take place either in the actual physical world or in imagination, in counterfactual worlds. The book offers a conceptual introduction to the key mathematical ideas, presenting them in a non-technical way, focusing on the intuitions rather than the theorems. It tries to show why the ideas are important to understanding how people explain things and why thinking not only about the world as it is but the world as it could be is so central to human action. The book reviews the role of causality, causal models, and intervention in the basic human cognitive functions: decision making, reasoning, judgment, categorization, inductive inference, language, and learning. In short, the book offers a discussion about how people think, talk, learn, and explain things in causal terms, in terms of action and manipulation.
Download or read book Causal Learning written by and published by Academic Press. This book was released on 1996-09-26 with total page 457 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Psychology of Learning and Motivation publishes empirical and theoretical contributions in cognitive and experimental psychology, ranging from classical and instrumental conditions to complex learning and problem solving. This guest-edited special volume is devoted to current research and discussion on associative versus cognitive accounts of learning. Written by major investigators in the field, topics include all aspects of causal learning in an open forum in which different approaches are brought together. - Up-to-date review of the literature - Discusses recent controversies - Presents major advances in understanding causal learning - Synthesizes contrasting approaches - Includes important empirical contributions - Written by leading researchers in the field
Book Synopsis Actual Causality by : Joseph Y. Halpern
Download or read book Actual Causality written by Joseph Y. Halpern and published by MIT Press. This book was released on 2016-08-12 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Elements of Causal Inference by : Jonas Peters
Download or read book Elements of Causal Inference written by Jonas Peters and published by MIT Press. This book was released on 2017-11-29 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning. The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a self-contained and concise introduction to causal models and how to learn them from data. After explaining the need for causal models and discussing some of the principles underlying causal inference, the book teaches readers how to use causal models: how to compute intervention distributions, how to infer causal models from observational and interventional data, and how causal ideas could be exploited for classical machine learning problems. All of these topics are discussed first in terms of two variables and then in the more general multivariate case. The bivariate case turns out to be a particularly hard problem for causal learning because there are no conditional independences as used by classical methods for solving multivariate cases. The authors consider analyzing statistical asymmetries between cause and effect to be highly instructive, and they report on their decade of intensive research into this problem. The book is accessible to readers with a background in machine learning or statistics, and can be used in graduate courses or as a reference for researchers. The text includes code snippets that can be copied and pasted, exercises, and an appendix with a summary of the most important technical concepts.
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.
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.
Book Synopsis The Oxford Handbook of the Development of Imagination by : Marjorie Taylor
Download or read book The Oxford Handbook of the Development of Imagination written by Marjorie Taylor and published by Oxford University Press. This book was released on 2013-04-02 with total page 608 pages. Available in PDF, EPUB and Kindle. Book excerpt: Children are widely celebrated for their imaginations, but developmental research on this topic has often been fragmented or narrowly focused on fantasy. However, there is growing appreciation for the role that imagination plays in cognitive and emotional development, as well as its link with children's understanding of the real world. With their imaginations, children mentally transcend time, place, and/or circumstance to think about what might have been, plan and anticipate the future, create fictional relationships and worlds, and consider alternatives to the actual experiences of their lives. The Oxford Handbook of the Development of Imagination provides a comprehensive overview of this broad new perspective by bringing together leading researchers whose findings are moving the study of imagination from the margins of mainstream psychology to a central role in current efforts to understand human thought. The topics covered include fantasy-reality distinctions, pretend play, magical thinking, narrative, anthropomorphism, counterfactual reasoning, mental time travel, creativity, paracosms, imaginary companions, imagination in non-human animals, the evolution of imagination, autism, dissociation, and the capacity to derive real life resilience from imaginative experiences. Many of the chapters include discussions of the educational, clinical, and legal implications of the research findings and special attention is given to suggestions for future research.
Book Synopsis Causal Inference in Statistics by : Judea Pearl
Download or read book Causal Inference in Statistics written by Judea Pearl and published by John Wiley & Sons. This book was released on 2016-01-25 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: CAUSAL INFERENCE IN STATISTICS A Primer Causality is central to the understanding and use of data. Without an understanding of cause–effect relationships, we cannot use data to answer questions as basic as "Does this treatment harm or help patients?" But though hundreds of introductory texts are available on statistical methods of data analysis, until now, no beginner-level book has been written about the exploding arsenal of methods that can tease causal information from data. Causal Inference in Statistics fills that gap. Using simple examples and plain language, the book lays out how to define causal parameters; the assumptions necessary to estimate causal parameters in a variety of situations; how to express those assumptions mathematically; whether those assumptions have testable implications; how to predict the effects of interventions; and how to reason counterfactually. These are the foundational tools that any student of statistics needs to acquire in order to use statistical methods to answer causal questions of interest. This book is accessible to anyone with an interest in interpreting data, from undergraduates, professors, researchers, or to the interested layperson. Examples are drawn from a wide variety of fields, including medicine, public policy, and law; a brief introduction to probability and statistics is provided for the uninitiated; and each chapter comes with study questions to reinforce the readers understanding.
Book Synopsis The Oxford Handbook of Causal Reasoning by : Michael Waldmann
Download or read book The Oxford Handbook of Causal Reasoning written by Michael Waldmann and published by Oxford University Press. This book was released on 2017 with total page 769 pages. Available in PDF, EPUB and Kindle. Book excerpt: Causal reasoning is one of our most central cognitive competencies, enabling us to adapt to our world. Causal knowledge allows us to predict future events, or diagnose the causes of observed facts. We plan actions and solve problems using knowledge about cause-effect relations. Without our ability to discover and empirically test causal theories, we would not have made progress in various empirical sciences. The handbook brings together the leading researchers in the field of causal reasoning and offers state-of-the-art presentations of theories and research. It provides introductions of competing theories of causal reasoning, and discusses its role in various cognitive functions and domains. The final section presents research from neighboring fields.
Book Synopsis Advances in Experimental Philosophy of Causation by : Pascale Willemsen
Download or read book Advances in Experimental Philosophy of Causation written by Pascale Willemsen and published by Bloomsbury Publishing. This book was released on 2022-06-16 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is the connection between causation and responsibility? Is there a best way to theorize philosophically about causation? Which factors determine and influence what we judge to be the cause of something? Bringing together interdisciplinary research from experimental philosophy, traditional philosophy and psychology, this collection showcases the most recent developments and approaches to questions about causation. Chapters discuss the diverse theoretical ramifications of empirical findings in experimental philosophy of causation, providing a comprehensive survey of key issues such as the perception and learning of causal relations, omission, normative considerations, mechanism, voluntariness and legal theories of causation. With novel contributions from both experts and rising stars, Advances in Experimental Philosophy of Causation demonstrates the value of empirical work and opens new domains of inquiry at the cutting edge of the field.
Book Synopsis Causation, Evidence, and Inference by : Julian Reiss
Download or read book Causation, Evidence, and Inference written by Julian Reiss and published by Routledge. This book was released on 2015-05-22 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, Reiss argues in favor of a tight fit between evidence, concept and purpose in our causal investigations in the sciences. There is no doubt that the sciences employ a vast array of techniques to address causal questions such as controlled experiments, randomized trials, statistical and econometric tools, causal modeling and thought experiments. But how do these different methods relate to each other and to the causal inquiry at hand? Reiss argues that there is no "gold standard" in settling causal issues against which other methods can be measured. Rather, the various methods of inference tend to be good only relative to certain interpretations of the word "cause", and each interpretation, in turn, helps to address some salient purpose (prediction, explanation or policy analysis) but not others. The main objective of this book is to explore the metaphysical and methodological consequences of this view in the context of numerous cases studies from the natural and social sciences.
Book Synopsis How Physics Makes Us Free by : J. T. Ismael
Download or read book How Physics Makes Us Free written by J. T. Ismael and published by Oxford University Press. This book was released on 2016-02-03 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: In 1687 Isaac Newton ushered in a new scientific era in which laws of nature could be used to predict the movements of matter with almost perfect precision. Newton's physics also posed a profound challenge to our self-understanding, however, for the very same laws that keep airplanes in the air and rivers flowing downhill tell us that it is in principle possible to predict what each of us will do every second of our entire lives, given the early conditions of the universe. Can it really be that even while you toss and turn late at night in the throes of an important decision and it seems like the scales of fate hang in the balance, that your decision is a foregone conclusion? Can it really be that everything you have done and everything you ever will do is determined by facts that were in place long before you were born? This problem is one of the staples of philosophical discussion. It is discussed by everyone from freshman in their first philosophy class, to theoretical physicists in bars after conferences. And yet there is no topic that remains more unsettling, and less well understood. If you want to get behind the façade, past the bare statement of determinism, and really try to understand what physics is telling us in its own terms, read this book. The problem of free will raises all kinds of questions. What does it mean to make a decision, and what does it mean to say that our actions are determined? What are laws of nature? What are causes? What sorts of things are we, when viewed through the lenses of physics, and how do we fit into the natural order? Ismael provides a deeply informed account of what physics tells us about ourselves. The result is a vision that is abstract, alien, illuminating, and-Ismael argues-affirmative of most of what we all believe about our own freedom. Written in a jargon-free style, How Physics Makes Us Free provides an accessible and innovative take on a central question of human existence.
Book Synopsis The Oxford Handbook of Philosophy of Social Science by : Harold Kincaid
Download or read book The Oxford Handbook of Philosophy of Social Science written by Harold Kincaid and published by Oxford University Press. This book was released on 2012-08-23 with total page 676 pages. Available in PDF, EPUB and Kindle. Book excerpt: The philosophy of the social sciences considers the underlying explanatory powers of the social (or human) sciences, such as history, economics, anthropology, politics, and sociology. The type of questions covered includes the methodological (the nature of observations, laws, theories, and explanations) to the ontological — whether or not these sciences can explain human nature in a way consistent with common-sense beliefs. This Handbook is a major, comprehensive look at the key ideas in the field, is guided by several principles. The first is that the philosophy of social science should be closely connected to, and informed by, developments in the sciences themselves. The second is that the volume should appeal to practicing social scientists as well as philosophers, with the contributors being both drawn from both ranks, and speaking to ongoing controversial issues in the field. Finally, the volume promotes connections across the social sciences, with greater internal discussion and interaction across disciplinary boundaries.
Book Synopsis Psychology of Learning and Motivation by :
Download or read book Psychology of Learning and Motivation written by and published by Academic Press. This book was released on 2016-07-18 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: Psychology of Learning and Motivation publishes empirical and theoretical contributions in cognitive and experimental psychology, ranging from classical and instrumental conditioning, to complex learning and problem-solving. Each chapter thoughtfully integrates the writings of leading contributors, who present and discuss significant bodies of research relevant to their discipline. Volume 65 includes chapters on such varied topics as prospective memory, metacognitive information processing, basic memory processes during reading, working memory capacity, attention, perception and memory, short-term memory, language processing, and causal reasoning. - Presents the latest information in the highly regarded Psychology of Learning and Motivation series - Provides an essential reference for researchers and academics in cognitive science - Contains information relevant to both applied concerns and basic research
Book Synopsis Thinking with Data by : Marsha Lovett
Download or read book Thinking with Data written by Marsha Lovett and published by Psychology Press. This book was released on 2007 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt: First Published in 2007. Routledge is an imprint of Taylor & Francis, an informa company.
