Information Theory of Choice-reaction Times PDF Download

Author: Donald Richard John Laming
Publisher:
ISBN:
Category : Choice (Psychology).
Languages : en
Pages : 194

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Author: Norbert M. Seel
Publisher: Springer Science & Business Media
ISBN: 1441914277
Category : Education
Languages : en
Pages : 3643

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Book Description
Over the past century, educational psychologists and researchers have posited many theories to explain how individuals learn, i.e. how they acquire, organize and deploy knowledge and skills. The 20th century can be considered the century of psychology on learning and related fields of interest (such as motivation, cognition, metacognition etc.) and it is fascinating to see the various mainstreams of learning, remembered and forgotten over the 20th century and note that basic assumptions of early theories survived several paradigm shifts of psychology and epistemology. Beyond folk psychology and its naïve theories of learning, psychological learning theories can be grouped into some basic categories, such as behaviorist learning theories, connectionist learning theories, cognitive learning theories, constructivist learning theories, and social learning theories. Learning theories are not limited to psychology and related fields of interest but rather we can find the topic of learning in various disciplines, such as philosophy and epistemology, education, information science, biology, and – as a result of the emergence of computer technologies – especially also in the field of computer sciences and artificial intelligence. As a consequence, machine learning struck a chord in the 1980s and became an important field of the learning sciences in general. As the learning sciences became more specialized and complex, the various fields of interest were widely spread and separated from each other; as a consequence, even presently, there is no comprehensive overview of the sciences of learning or the central theoretical concepts and vocabulary on which researchers rely. The Encyclopedia of the Sciences of Learning provides an up-to-date, broad and authoritative coverage of the specific terms mostly used in the sciences of learning and its related fields, including relevant areas of instruction, pedagogy, cognitive sciences, and especially machine learning and knowledge engineering. This modern compendium will be an indispensable source of information for scientists, educators, engineers, and technical staff active in all fields of learning. More specifically, the Encyclopedia provides fast access to the most relevant theoretical terms provides up-to-date, broad and authoritative coverage of the most important theories within the various fields of the learning sciences and adjacent sciences and communication technologies; supplies clear and precise explanations of the theoretical terms, cross-references to related entries and up-to-date references to important research and publications. The Encyclopedia also contains biographical entries of individuals who have substantially contributed to the sciences of learning; the entries are written by a distinguished panel of researchers in the various fields of the learning sciences.

Author: W. T. Welford
Publisher: Stanford University
ISBN: 9780127428802
Category : Psychology
Languages : en
Pages : 132

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Author: H.J. Eysenck
Publisher: Springer Science & Business Media
ISBN: 3642686648
Category : Psychology
Languages : en
Pages : 481

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with contributions by numerous experts

Author: R. Duncan Luce
Publisher: Oxford University Press
ISBN: 0195361466
Category : Psychology
Languages : en
Pages : 582

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Book Description
This authoritative volume provides a well balanced and comprehensive treatment of the mathematical theory of human response time and the role it plays in our understanding of the mind's organization.

Author: Marc Mézard
Publisher: Oxford University Press
ISBN: 019857083X
Category : Computers
Languages : en
Pages : 584

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Book Description
A very active field of research is emerging at the frontier of statistical physics, theoretical computer science/discrete mathematics, and coding/information theory. This book sets up a common language and pool of concepts, accessible to students and researchers from each of these fields.

Author: Daniel Kahneman
Publisher: Farrar, Straus and Giroux
ISBN: 1429969350
Category : Psychology
Languages : en
Pages : 511

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Book Description
*Major New York Times Bestseller *More than 2.6 million copies sold *One of The New York Times Book Review's ten best books of the year *Selected by The Wall Street Journal as one of the best nonfiction books of the year *Presidential Medal of Freedom Recipient *Daniel Kahneman's work with Amos Tversky is the subject of Michael Lewis's best-selling The Undoing Project: A Friendship That Changed Our Minds In his mega bestseller, Thinking, Fast and Slow, Daniel Kahneman, world-famous psychologist and winner of the Nobel Prize in Economics, takes us on a groundbreaking tour of the mind and explains the two systems that drive the way we think. System 1 is fast, intuitive, and emotional; System 2 is slower, more deliberative, and more logical. The impact of overconfidence on corporate strategies, the difficulties of predicting what will make us happy in the future, the profound effect of cognitive biases on everything from playing the stock market to planning our next vacation—each of these can be understood only by knowing how the two systems shape our judgments and decisions. Engaging the reader in a lively conversation about how we think, Kahneman reveals where we can and cannot trust our intuitions and how we can tap into the benefits of slow thinking. He offers practical and enlightening insights into how choices are made in both our business and our personal lives—and how we can use different techniques to guard against the mental glitches that often get us into trouble. Topping bestseller lists for almost ten years, Thinking, Fast and Slow is a contemporary classic, an essential book that has changed the lives of millions of readers.

Author: John M. Carroll
Publisher: Elsevier
ISBN: 0080491413
Category : Computers
Languages : en
Pages : 579

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Book Description
HCI Models, Theories, and Frameworks provides a thorough pedagological survey of the science of Human-Computer Interaction (HCI). HCI spans many disciplines and professions, including anthropology, cognitive psychology, computer graphics, graphical design, human factors engineering, interaction design, sociology, and software engineering. While many books and courses now address HCI technology and application areas, none has addressed HCI's multidisciplinary foundations with much scope or depth. This text fills a huge void in the university education and training of HCI students as well as in the lifelong learning and professional development of HCI practitioners. Contributors are leading researchers in the field of HCI. If you teach a second course in HCI, you should consider this book. This book provides a comprehensive understanding of the HCI concepts and methods in use today, presenting enough comparative detail to make primary sources more accessible. Chapters are formatted to facilitate comparisons among the various HCI models. Each chapter focuses on a different level of scientific analysis or approach, but all in an identical format, facilitating comparison and contrast of the various HCI models. Each approach is described in terms of its roots, motivation, and type of HCI problems it typically addresses. The approach is then compared with its nearest neighbors, illustrated in a paradigmatic application, and analyzed in terms of its future. This book is essential reading for professionals, educators, and students in HCI who want to gain a better understanding of the theoretical bases of HCI, and who will make use of a good background, refresher, reference to the field and/or index to the literature. - Contributors are leading researchers in the field of Human-Comptuter Interaction - Fills a major gap in current literature about the rich scientific foundations of HCI - Provides a thorough pedogological survey of the science of HCI

Author: Morton Friedman
Publisher: Springer Science & Business Media
ISBN: 1468410830
Category : Science
Languages : en
Pages : 611

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Book Description
This volume contains the Proceedings of an International Conference on Intelligence and Learning held at York University, England, on July 16-20, 1979. The conference was made possible with the support and assistance of the following agencies: NAT 0 Scientific Division, specifically the Human Factors panel, was the major sponsor of the conference. Special thanks are due to Dr. B. A. Bayraktar, who helped organize the conference. Special appreciation is also expressed for the support of the University of York where the conference was held, the University of Alberta, the University of California, Los Angeles, the Medical Research Council, especially its Developmental Psychology Research U nit in London, and the British Council. The conference was jointly directed by J. P. Das and N. 0' Connor. The directors appreciate the assistance in administrative matters of Patricia Chobater and Emma Collins of the University of Alberta. The Editors of the Proceedings acknowledge and appreciate the following individuals who assisted in the production of the volume at the University of California, Los Angeles: Francine Gray, Janet Koblen and Richard Russell. Special thanks go to Keith Felton, who prepared the final manuscript, and Carol Saro, who assisted the editors and prepared the indexes. Morton P. Friedman J. P. Das Neil O'Connor CONTENTS Section INTRODUCTION 1.

Author: Emanuel Leeuwenberg
Publisher: Cambridge University Press
ISBN: 1107029600
Category : Language Arts & Disciplines
Languages : en
Pages : 337

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A coherent and comprehensive theory of visual pattern classification with quantitative models, verifiable predictions and extensive empirical evidence.