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Causal Models : How People Think about the World and Its Alternatives by Steven Sloman (2009, Trade Paperback)

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Human beings are active agents who can think. How does intervening on one thing affect other things?. "The field of Bayesian causal models is becoming increasingly important for theory building in cognitive science.

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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. "Sloman has written an accessible, popular-level book that will serve as a useful general introduction to the tricky and complex issues involved in understanding causality and its role in cognitive processing. For people who are unfamiliar with the issues and the research involved, this is a good starting point, although parts may require thoughtful rereadings. For people who are generally familiar with the issues but not the recent research or theoretical conceptions ( e.g. , the use of counterfactuals), this book can serve as a useful guide to update one's knowledge. People who are actively working in this area will probably find this book a quick and enjoyable read."--Michael Palij, PsycCRITIQUES "The field of Bayesian causal models is becoming increasingly important for theory building in cognitive science. This book provides a lively and lucid introduction to the core concepts, and weaves them together with the latest research on causality and related topics from the cognitive sciences. Elegant and entertaining."--Nick Chater, Director of the Institute for Applied Cognitive Science and Professor of Psychology, University of Warwick "The scientific analysis of causal systems has become much more sophisticated with recent developments in computer science, statistics, and philosophy during the past decade. For the first time, we have available a comprehensive formal language in which to represent complex causal systems and which can be used to define normative solutions to causal inference and judgment problems. Steven Sloman's book makes these important developments easily accessible to the reader, as well as presenting many of his own exciting applications of these new ideas in behavioral studies of learning and judging causal relationships. This well-written book is full of profound insights and fascinating results. Anyone who wants to know what's going on at the cutting edge of cognitive science should read it." --Reid Hastie, Professor of Behavioral Science, University of Chicago "In the last 15 years, there has been a quiet revolution in

Product Identifiers

Publisher
Oxford University Press, Incorporated
ISBN-10
0195394291
ISBN-13
9780195394290
eBay Product ID (ePID)
72434917

Product Key Features

Author
Steven Sloman
Publication Name
Causal Models : How People Think about the World and Its Alternatives
Format
Trade Paperback
Language
English
Publication Year
2009
Type
Textbook
Number of Pages
224 Pages

Dimensions

Item Length
6in
Item Height
0.6in
Item Width
9.1in
Item Weight
13.7 Oz

Additional Product Features

Lc Classification Number
Bf39
Table of Content
1. Agency and the Role of Causation in Mental LifePart I. The Theory2. The Information Is in the Invariants3. What Is a Cause?4. Causal Models5. Observation Versus ActionPart II. Evidence and Application6. Reasoning About Causation7. Decision Making via Causal Consequences8. The Psychology of Judgment: Causality Is Pervasive9. Causality and Conceptual Structure10. Categorical Induction11. Locating Causal Structure in Language12. Causal Learning13. Conclusion: Causation in the MindNotesReferencesIndex
Copyright Date
2009
Topic
Cognitive Psychology & Cognition
Dewey Decimal
122
Intended Audience
Scholarly & Professional
Dewey Edition
23
Illustrated
Yes
Genre
Psychology

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Causal Models : How People Think about the World and Its Alternatives by Steven Sloman (2009, Trade Paperback)

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Product Key Features

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All listings for this product

item 1 Causal Models: How People Think About the Wor... 9780195394290 by Sloman, Steven

item 2 Causal Models: How People Think About the World and Its Alternatives - GOOD

item 3 Causal Models: How People Think About - Paperback, by Sloman Steven - Very Good

item 4 Causal Models: How People Think Abou..., Sloman, Steven

item 5 CAUSAL MODELS: HOW PEOPLE THINK ABOUT THE WORLD AND ITS By Steven Sloman Mint

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