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Book The Development of the Child s Use of Causal Language to Infer Physical and Psychological Causation

Download or read book The Development of the Child s Use of Causal Language to Infer Physical and Psychological Causation written by Priscilla Lenore Roth and published by . This book was released on 1980 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Causal Learning

    Book Details:
  • Author : Alison Gopnik
  • Publisher : Oxford University Press
  • Release : 2007-03-22
  • ISBN : 0190208260
  • Pages : 384 pages

Download or read book Causal Learning written by Alison Gopnik and published by Oxford University Press. This book was released on 2007-03-22 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding causal structure is a central task of human cognition. Causal learning underpins the development of our concepts and categories, our intuitive theories, and our capacities for planning, imagination and inference. During the last few years, there has been an interdisciplinary revolution in our understanding of learning and reasoning: Researchers in philosophy, psychology, and computation have discovered new mechanisms for learning the causal structure of the world. This new work provides a rigorous, formal basis for theory theories of concepts and cognitive development, and moreover, the causal learning mechanisms it has uncovered go dramatically beyond the traditional mechanisms of both nativist theories, such as modularity theories, and empiricist ones, such as association or connectionism.

Book The Oxford Handbook of Causal Reasoning

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 2017-03-30 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. Although causal reasoning is a component of most of our cognitive functions, it has been neglected in cognitive psychology for many decades. The Oxford Handbook of Causal Reasoning offers a state-of-the-art review of the growing field, and its contribution to the world of cognitive science. The Handbook begins with an introduction of competing theories of causal learning and reasoning. In the next section, it presents research about basic cognitive functions involved in causal cognition, such as perception, categorization, argumentation, decision-making, and induction. The following section examines research on domains that embody causal relations, including intuitive physics, legal and moral reasoning, psychopathology, language, social cognition, and the roles of space and time. The final section presents research from neighboring fields that study developmental, phylogenetic, and cultural differences in causal cognition. The chapters, each written by renowned researchers in their field, fill in the gaps of many cognitive psychology textbooks, emphasizing the crucial role of causal structures in our everyday lives. This Handbook is an essential read for students and researchers of the cognitive sciences, including cognitive, developmental, social, comparative, and cross-cultural psychology; philosophy; methodology; statistics; artificial intelligence; and machine learning.

Book Causal Learning

    Book Details:
  • Author : Alison Gopnik
  • Publisher : Oxford University Press
  • Release : 2007-03-22
  • ISBN : 0195176804
  • Pages : 371 pages

Download or read book Causal Learning written by Alison Gopnik and published by Oxford University Press. This book was released on 2007-03-22 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding causal structure is a central task of human cognition. Causal learning underpins the development of our concepts and categories, our intuitive theories, and our capacities for planning, imagination and inference. During the last few years, there has been an interdisciplinary revolution in our understanding of learning and reasoning: Researchers in philosophy, psychology, and computation have discovered new mechanisms for learning the causal structure of the world. This new work provides a rigorous, formal basis for theory theories of concepts and cognitive development, and moreover, the causal learning mechanisms it has uncovered go dramatically beyond the traditional mechanisms of both nativist theories, such as modularity theories, and empiricist ones, such as association or connectionism.

Book The Understanding of Causation and the Production of Action

Download or read book The Understanding of Causation and the Production of Action written by Peter Anthony White and published by Psychology Press. This book was released on 2018-10-24 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text is an attempt to trace out a line of development in the understanding of how things happen, from origins in infancy to mature forms in adulthood. There are two distinct but related ways in which people understand things as happening, denoted by the terms "causation" and "action". This book is concerned with both.; The central claim and organizing principle of the book is that, by the end of the second year of life, children have differentiated two core theories of how things happen. These theories deal with causation and action. The two theories have a common point of origin in the infant's experience of producing actions, but thereafter diverge, both in content and in realm of application. Once established, the core theories of causation and action never change, but form a permanent metaphysical underpinning on which subsequent developments in the understanding of how things happen are erected. The story of development is therefore largely the story of how further concepts become attached to integrated with the core theories. Although the developmental and adult literatures on causal understanding appear at first glance to have little in common, in fact this appearance is illusory, and the idea of two theories helps to bring the two literatures in contact with each other.; The book begins with a survey of the main philosophical ideas about causation and action. Following this, the possible origins of understanding in infancy are reviewed, and separate chapters then deal with the development of understanding of action and causation through childhood. This is then linked to the adult understanding of action and causation, and the literature on adult causal attribution and causal judgement is reviewed from this perspective.

Book Causal Models

    Book Details:
  • Author : Steven Sloman
  • Publisher : Oxford University Press
  • Release : 2009-04-17
  • ISBN : 0195394291
  • Pages : 226 pages

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.

Book Dissertation Abstracts International

Download or read book Dissertation Abstracts International written by and published by . This book was released on 1981 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book The Book of Why

    Book Details:
  • Author : Judea Pearl
  • Publisher : Basic Books
  • Release : 2018-05-15
  • ISBN : 0465097618
  • Pages : 432 pages

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 The Oxford Handbook of Developmental Psychology  Vol  1

Download or read book The Oxford Handbook of Developmental Psychology Vol 1 written by Philip David Zelazo and published by Oxford University Press. This book was released on 2013-03-21 with total page 1049 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook provides a comprehensive survey of what is now known about psychological development, from birth to biological maturity, and it highlights how cultural, social, cognitive, neural, and molecular processes work together to yield human behavior and changes in human behavior.

Book Comprehensive Dissertation Index

Download or read book Comprehensive Dissertation Index written by and published by . This book was released on 1984 with total page 946 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Learning Causal Structure in Social  Statistical and Imagined Contexts

Download or read book Learning Causal Structure in Social Statistical and Imagined Contexts written by Daphna Buchsbaum and published by . This book was released on 2013 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: A major challenge children face is uncovering the causal structure of the world around them. Previous research on children's causal inference has demonstrated their ability to learn about causal relationships in the physical environment using probabilistic evidence. However, children must also learn about causal relationships in the social environment, including discovering the causes of other people's behavior, and understanding the causal relationships between others' goal-directed actions and the outcomes of those actions. In addition, many of the causal relationships children experience do not occur in the physical world at all, but instead occur in richly causal imaginary worlds. In this dissertation, we argue that social reasoning and causal reasoning are deeply linked, both in the real world and in children's minds. Children use both types of information together and in fact reason about both physical and social causation in fundamentally similar ways. We suggest that children jointly construct and update causal theories about their social and physical environment and that this process is best captured by probabilistic models of cognition. We also argue that causal pretense may serve as a form of counterfactual causal reasoning, allowing children to explore causal "what if" scenarios in alternative imaginary worlds, and suggest a theoretical link between the development of an extended period of immaturity in human evolution and the emergence of powerful and wide-ranging causal learning mechanisms. We investigate the complex and varied ways in which children learn causal relationships through three primary lines of research, each of which extends probabilistic models beyond reasoning about purely physical causes, while also characterizing the distinctive aspects of causal pretense and social causal reasoning. In the first set of studies, we examine how causal learning can influence the understanding and segmentation of action, and how observed statistical structure in human action can affect causal inferences. We present a Bayesian analysis of how statistical and causal cues to segmentation should optimally be combined, as well as four experiments investigating human action segmentation and causal inference. We find that both adults and our model are sensitive to statistical regularities and causal structure in continuous action, and are able to combine these sources of information in order to correctly infer both causal relationships and segmentation boundaries. The second line of work examines how the social context influences children's causal learning, focusing particularly on children's imitation of causal actions. We define a Bayesian model that predicts children will decide whether to imitate part or all of an action sequence based on both the pattern of statistical evidence and the demonstrator's pedagogical stance. We conducted an experiment in which preschool children watched an experimenter repeatedly perform sequences of varying actions followed by an outcome. Children's imitation of sequences that produced the outcome increased, in some cases resulting in production of shorter sequences of actions that the children had never seen performed in isolation. A second experiment established that children interpret the same statistical evidence differently when it comes from a knowledgeable teacher versus a naive demonstrator, suggesting that children attend to both statistical and pedagogical evidence in deciding which actions to imitate, rather than obligately imitating successful action sequences. The final line of work explores the relationship between children's understanding of real-world causal structure and their pretend play. We report a study demonstrating a link between pretend play and counterfactual causal reasoning. Preschool children given new information about a causal system made very similar inferences both when they considered counterfactuals about the system and when they engaged in pretend play about it. Counterfactual cognition and causally coherent pretense were also significantly correlated even when age, general cognitive development and executive function were controlled for. These findings link a distinctive human form of childhood play and an equally distinctive human form of causal inference. We speculate that during human evolution computations that were initially reserved for particularly important ecological problems came to be used much more widely and extensively during the long period of protected immaturity.

Book Cognitive Development and Cognitive Neuroscience

Download or read book Cognitive Development and Cognitive Neuroscience written by Usha Goswami and published by Routledge. This book was released on 2019-09-26 with total page 630 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cognitive Development and Cognitive Neuroscience: The Learning Brain is a thoroughly revised edition of the bestselling Cognitive Development. The new edition of this full-colour textbook has been updated with the latest research in cognitive neuroscience, going beyond Piaget and traditional theories to demonstrate how emerging data from the brain sciences require a new theoretical framework for teaching cognitive development, based on learning. Building on the framework for teaching cognitive development presented in the first edition, Goswami shows how different cognitive domains such as language, causal reasoning and theory of mind may emerge from automatic neural perceptual processes. Cognitive Neuroscience and Cognitive Development integrates principles and data from cognitive science, neuroscience, computer modelling and studies of non-human animals into a model that transforms the study of cognitive development to produce both a key introductory text and a book which encourages the reader to move beyond the superficial and gain a deeper understanding of the subject matter. Cognitive Development and Cognitive Neuroscience is essential for students of developmental and cognitive psychology, education, language and the learning sciences. It will also be of interest to anyone training to work with children.

Book The Oxford Handbook of the Development of Imagination

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 Understanding Causality

Download or read book Understanding Causality written by Jean Piaget and published by W. W. Norton. This book was released on 1977 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summarizing in broad outline the data accumulated from about a hundred studies on the essential points of causal explanation, this introduction (written with the collaboration of R. Garcia) defines the main problems posed by these data.

Book The Perception of Causality

Download or read book The Perception of Causality written by Albert Michotte and published by Routledge. This book was released on 2017-03-27 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: Originally published in 1963, this is a classic work on the psychology of perception. By means of suitable patterns on a partly concealed rotating disc Michotte was able to give the impression of objects in movement; and where certain conditions of speed, position, and time-interval were satisfied, his subjects received the impression of a causal interaction between two objects – for example, the impression that one object has ‘bumped into’ another (the ‘Launching Effect’) or is carrying it along (the ‘Entraining Effect’). In a further group of experiments Michotte studies the conditions in which moving objects look as though they are alive. A large number of experiments are described, and on the basis of them Michotte formulates a theory as to the conditions in which causal impressions occur. He also compares his own views on causality with those of Hume, Maine de Biran, and Piaget.

Book The Oxford Handbook of Causal Reasoning

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.