Mental Models In Cognitive Science

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Author :
Publisher : Psychology Press
ISBN 13 : 1134835663
Total Pages : 353 pages
Book Rating : 4.69/5 ( download)

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Book Synopsis Mental Models In Cognitive Science by : Alan Garnham

Download or read book Mental Models In Cognitive Science written by Alan Garnham and published by Psychology Press. This book was released on 2013-06-17 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: Phil Johnson-Laird's theory of mental models has proved to be an influential development in the cognitive sciences. This theory aims to provide a detailed account of both reasoning and inference on the one hand, and language on the other. It can therefore be regarded as a step toward the much-sought-after unified theory of cognition.; This book provides an overview of mental models research. Some of the contributors were collaborators or former graduate students of Johnson-Laird, and between them they cover the main strands of mental models theory. After an appreciation of Johnson-Laird, the book covers topics including language Processing, Reasoning, Inference, The Role Of Emotions, And The Impact Of mental illnesses on thought processes.

Mental Models

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Publisher : Harvard University Press
ISBN 13 : 9780674568822
Total Pages : 532 pages
Book Rating : 4.26/5 ( download)

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Book Synopsis Mental Models by : Philip Nicholas Johnson-Laird

Download or read book Mental Models written by Philip Nicholas Johnson-Laird and published by Harvard University Press. This book was released on 1983 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a unified theory of the major propertries of mind, including comprehension, inference, and consciousness. The author argues that we apprehend the world by building inner mental replicas of the relationships among objects and events that concern us. The mind is essentially a model-building device that can itself be modeled on a computer. The book provides a blueprint for building such a model and numberous important illustrations of how to do it.

Mental Models and the Mind

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Author :
Publisher : Elsevier
ISBN 13 : 9780080459011
Total Pages : 286 pages
Book Rating : 4.13/5 ( download)

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Book Synopsis Mental Models and the Mind by : Carsten Held

Download or read book Mental Models and the Mind written by Carsten Held and published by Elsevier. This book was released on 2006-01-11 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Cognitive psychology," "cognitive neuroscience," and "philosophy of mind" are names for three very different scientific fields, but they label aspects of the same scientific goal: to understand the nature of mental phenomena. Today, the three disciplines strongly overlap under the roof of the cognitive sciences. The book's purpose is to present views from the different disciplines on one of the central theories in cognitive science: the theory of mental models. Cognitive psychologists report their research on the representation and processing of mental models in human memory. Cognitive neuroscientists demonstrate how the brain processes visual and spatial mental models and which neural processes underlie visual and spatial thinking. Philosophers report their ideas about the role of mental models in relation to perception, emotion, representation, and intentionality. The single articles have different and mutually complementing goals: to introduce new empirical methods and approaches, to report new experimental results, and to locate competing approaches for their interpretation in the cross-disciplinary debate. The book is strongly interdisciplinary in character. It is especially addressed to researchers in any field related to mental models theory as both a reference book and an overview of present research on the topic in other disciplines. However, it is also an ideal reader for a specialized graduate course. Examines the theory of mental models from the perspectives of cognitive psychology, cognitive neuroscience and philosophy of the mind Introduces new empirical methods, experimental results, and interdisciplinary yet complementary approaches Serves as a reference book and an overview of current research

Mental Models In Cognitive Science

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Author :
Publisher : Psychology Press
ISBN 13 : 1134835736
Total Pages : 356 pages
Book Rating : 4.37/5 ( download)

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Book Synopsis Mental Models In Cognitive Science by : Alan Garnham

Download or read book Mental Models In Cognitive Science written by Alan Garnham and published by Psychology Press. This book was released on 2013-06-17 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Phil Johnson-Laird's theory of mental models has proved to be an influential development in the cognitive sciences. This theory aims to provide a detailed account of both reasoning and inference on the one hand, and language on the other. It can therefore be regarded as a step toward the much-sought-after unified theory of cognition.; This book provides an overview of mental models research. Some of the contributors were collaborators or former graduate students of Johnson-Laird, and between them they cover the main strands of mental models theory. After an appreciation of Johnson-Laird, the book covers topics including language Processing, Reasoning, Inference, The Role Of Emotions, And The Impact Of mental illnesses on thought processes.

Introduction to Modeling Cognitive Processes

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Publisher : MIT Press
ISBN 13 : 0262045362
Total Pages : 265 pages
Book Rating : 4.60/5 ( download)

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Book Synopsis Introduction to Modeling Cognitive Processes by : Tom Verguts

Download or read book Introduction to Modeling Cognitive Processes written by Tom Verguts and published by MIT Press. This book was released on 2022-02-01 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to computational modeling for cognitive neuroscientists, covering both foundational work and recent developments. Cognitive neuroscientists need sophisticated conceptual tools to make sense of their field’s proliferation of novel theories, methods, and data. Computational modeling is such a tool, enabling researchers to turn theories into precise formulations. This book offers a mathematically gentle and theoretically unified introduction to modeling cognitive processes. Theoretical exercises of varying degrees of difficulty throughout help readers develop their modeling skills. After a general introduction to cognitive modeling and optimization, the book covers models of decision making; supervised learning algorithms, including Hebbian learning, delta rule, and backpropagation; the statistical model analysis methods of model parameter estimation and model evaluation; the three recent cognitive modeling approaches of reinforcement learning, unsupervised learning, and Bayesian models; and models of social interaction. All mathematical concepts are introduced gradually, with no background in advanced topics required. Hints and solutions for exercises and a glossary follow the main text. All code in the book is Python, with the Spyder editor in the Anaconda environment. A GitHub repository with Python files enables readers to access the computer code used and start programming themselves. The book is suitable as an introduction to modeling cognitive processes for students across a range of disciplines and as a reference for researchers interested in a broad overview.

Foundations of Cognitive Science

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Publisher : MIT Press (MA)
ISBN 13 :
Total Pages : 970 pages
Book Rating : 4.60/5 ( download)

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Book Synopsis Foundations of Cognitive Science by : Michael I. Posner

Download or read book Foundations of Cognitive Science written by Michael I. Posner and published by MIT Press (MA). This book was released on 1989 with total page 970 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is cognitive science? The Foundations of Cognitive Science answers this question in a way that gives a feeling for the excitement, ferment, and accomplishments of this new field. It is the first broad treatment of cognitive science at an advanced level. Complete and authoritative, The Foundations of Cognitive Science covers the major architectures; provides background in philosophy linguistics, cognitive psychology, and neuroscience; and deals with methods for studying both brain and mind. All of the chapters have been written especially for the book by the leading scholars in the field. The foundations of cognitive science are developed in seven chapters covering computation, symbolic architectures, parallel distributed processing, grammars, semantics and formal logic, experimental cognitive science, and brain and cognition. These are then applied to the major cognitive domains of language acquisition, reading, discourse, mental models, categories and induction, problem solving, vision, visual attention, memory, action and motor control. The Foundations of Cognitive Science concludes with an assessment by a philosopher and a cognitive anthropologist. Michael I. Posner is Professor of Psychology at the University of Oregon. A Bradford Book. Contributors: Herbert A. SimonCraig A. KaplanZenon W. PylyshynAllen NewellJohn E. LairdPaul S. RosenbloomDavid E. RumelhartThomas WasowJon BarwiseJohn EtchemendyGordon H. BawerJohn P. ClapperTerrence J. SejnowskiPatricia Smith ChurchlandSteven PinkerAlexander PollatsekKeith RaynerBarbara J. GroszCandace L. SidnerMartha E. PollackP. N. Johnson-LairdEdward E. SmithKurt VanLehnEllen C. HildrethShimon UllmanAlan AllportDaniel L. SchacterDavid A. RosenbaumMichael I. JordanE. BizziF. A. Mussa IvaldiRoy D'AndradeGilbert Harman Contents: Computation, Symbolic Architectures, Parallel Distributed Processing, Grammars, Semantics and Formal Logic, Experimental Cognitive Science, Brain and Cognition, Language Acquisition, Reading, Discourse, Mental Models, Categories and Induction, Problem Solving, Vision, Visual Attention, Memory, Action, Motor Control, Culture, Philosophical Critique

Mental Models

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Publisher : Psychology Press
ISBN 13 : 1317769406
Total Pages : 357 pages
Book Rating : 4.08/5 ( download)

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Book Synopsis Mental Models by : Dedre Gentner

Download or read book Mental Models written by Dedre Gentner and published by Psychology Press. This book was released on 2014-01-14 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: This classic volume compiles and describes interdisciplinary research on the formal nature of human knowledge about the world. Three key dimensions that characterize mental models research are examined: the nature of the domain studied, the nature of the theoretical approach, and the nature of the methodology.

Visualization in Science Education

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Publisher : Springer Science & Business Media
ISBN 13 : 1402036132
Total Pages : 375 pages
Book Rating : 4.32/5 ( download)

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Book Synopsis Visualization in Science Education by : John K. Gilbert

Download or read book Visualization in Science Education written by John K. Gilbert and published by Springer Science & Business Media. This book was released on 2006-03-30 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses key issues concerning visualization in the teaching and learning of science at any level in educational systems. It is the first book specifically on visualization in science education. The book draws on the insights from cognitive psychology, science, and education, by experts from five countries. It unites these with the practice of science education, particularly the ever-increasing use of computer-managed modelling packages.

The Great Mental Models, Volume 1

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Publisher : Penguin
ISBN 13 : 0593719972
Total Pages : 0 pages
Book Rating : 4.78/5 ( download)

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Book Synopsis The Great Mental Models, Volume 1 by : Shane Parrish

Download or read book The Great Mental Models, Volume 1 written by Shane Parrish and published by Penguin. This book was released on 2024-10-15 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover the essential thinking tools you’ve been missing with The Great Mental Models series by Shane Parrish, New York Times bestselling author and the mind behind the acclaimed Farnam Street blog and “The Knowledge Project” podcast. This first book in the series is your guide to learning the crucial thinking tools nobody ever taught you. Time and time again, great thinkers such as Charlie Munger and Warren Buffett have credited their success to mental models–representations of how something works that can scale onto other fields. Mastering a small number of mental models enables you to rapidly grasp new information, identify patterns others miss, and avoid the common mistakes that hold people back. The Great Mental Models: Volume 1, General Thinking Concepts shows you how making a few tiny changes in the way you think can deliver big results. Drawing on examples from history, business, art, and science, this book details nine of the most versatile, all-purpose mental models you can use right away to improve your decision making and productivity. This book will teach you how to: Avoid blind spots when looking at problems. Find non-obvious solutions. Anticipate and achieve desired outcomes. Play to your strengths, avoid your weaknesses, … and more. The Great Mental Models series demystifies once elusive concepts and illuminates rich knowledge that traditional education overlooks. This series is the most comprehensive and accessible guide on using mental models to better understand our world, solve problems, and gain an advantage.

Integrated and Holistic Perspectives on Learning, Instruction and Technology

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Publisher : Springer Science & Business Media
ISBN 13 : 0306475847
Total Pages : 292 pages
Book Rating : 4.49/5 ( download)

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Book Synopsis Integrated and Holistic Perspectives on Learning, Instruction and Technology by : J.M. Spector

Download or read book Integrated and Holistic Perspectives on Learning, Instruction and Technology written by J.M. Spector and published by Springer Science & Business Media. This book was released on 2005-12-17 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: One outcome of recent progress in educational technology is strong interest in providing effective support for learning in complex and ill-structured domains. We know how to use technology to promote understanding in simpler domains (e.g., orientation information, procedures with minimal-branching, etc.), but we are less sure how to use technology to support understanding in more complex domains (e.g., managing limited resources, understanding environmental impacts, etc.). Such domains are increasingly significant for society. Technology (e.g., collaborative tele-learning, digital repositories, interactive simulations, etc.) can provide conceptually and functionally rich domains for learning. However, this introduces the problem of determining what works in which circumstances and why. Research and development on these matters is reflected in this collection of papers. This research suggests a need to rethink foundational issues in educational philosophy and learning technology. One major theme connecting these papers is the need to address learning in the large - from a more holistic perspective. A second theme concerns the need to take learners where and as they are, integrating technology into effective learning places. Significant and systematic progress in learning support for complex domains demands further attention to these important issues.