Decision Making And Modelling In Cognitive Science

Author : Ray Crozier
Publisher : Routledge
ISBN 13 : 1134726783
Total Pages : 272 pages
Book Rating : 4.83/5 ( download)

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Download or read book Decision Making written by Ray Crozier and published by Routledge. This book was released on 2002-09-11 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers an exciting new collection of recent research on the actual processes that humans use when making decisions in their everyday lives and in business situations. The contributors use cognitive psychological techniques to break down the constituent processes and set them in their social context. The contributors are from many different countries and draw upon a wide range of techniques, making this book a valuable resource to cognitive psychologists in applied settings, economists and managers.

Author : Zheng Joyce Wang
Publisher : MIT Press
ISBN 13 : 0262361655
Total Pages : 305 pages
Book Rating : 4.51/5 ( download)

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Download or read book Cognitive Choice Modeling written by Zheng Joyce Wang and published by MIT Press. This book was released on 2021-03-09 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: The emerging interdisciplinary field of cognitive choice models integrates theory and recent research findings from both decision process and choice behavior. Cognitive decision processes provide the interface between the environment and brain, enabling choice behavior, and the basic cognitive mechanisms underlying decision processes are fundamental to all fields of human activity. Yet cognitive processes and choice processes are often studied separately, whether by decision theorists, consumer researchers, or social scientists. In Cognitive Choice Modeling, Zheng Joyce Wang and Jerome R. Busemeyer introduce a new cognitive modeling approach to the study of human choice behavior. Integrating recent research findings from both cognitive science and choice behavior, they lay the groundwork for the emerging interdisciplinary field of cognitive choice modeling.

Author : Sisir Roy
Publisher : Springer
ISBN 13 : 813223622X
Total Pages : 165 pages
Book Rating : 4.21/5 ( download)

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Download or read book Decision Making and Modelling in Cognitive Science written by Sisir Roy and published by Springer. This book was released on 2016-10-26 with total page 165 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the paradigm of quantum ontology as an appropriate model for measuring cognitive processes. It clearly shows the inadequacy of the application of classical probability theory in modelling the human cognitive domain. The chapters investigate the context dependence and neuronal basis of cognition in a coherent manner. According to this framework, epistemological issues related to decision making and state of mind are seen to be similar to issues related to equanimity and neutral mind, as discussed in Buddhist perspective. The author states that quantum ontology as a modelling tool will help scientists create new methodologies of modelling in other streams of science as well.

Author : Jerome R. Busemeyer
Publisher : Cambridge University Press
ISBN 13 : 110701199X
Total Pages : 425 pages
Book Rating : 4.91/5 ( download)

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Download or read book Quantum Models of Cognition and Decision written by Jerome R. Busemeyer and published by Cambridge University Press. This book was released on 2012-07-26 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces principles drawn from quantum theory to present a new framework for modeling human cognition and decision.

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

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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.

Author : Oshin Vartanian
Publisher : Psychology Press
ISBN 13 : 113685987X
Total Pages : 369 pages
Book Rating : 4.78/5 ( download)

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Download or read book Neuroscience of Decision Making written by Oshin Vartanian and published by Psychology Press. This book was released on 2011-04-14 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: The intersection between the fields of behavioral decision research and neuroscience has proved to be fertile ground for interdisciplinary research. Whereas the former is rich in formalized models of choice, the latter is rife with techniques for testing behavioral models at the brain level. As a result, there has been the rapid emergence of progressively more sophisticated biological models of choice, geared toward the development of ever more complete mechanistic models of behavior. This volume provides a coherent framework for distilling some of the key themes that have emerged as a function of this research program, and highlights what we have learned about judgment and decision making as a result. Although topics that are theoretically relevant to judgment and decision making researchers are addressed, the book also ventures somewhat beyond the traditional boundaries of this area to tackle themes that would of interest to a greater community of scholars. Neuroscience of Decision Making provides contemporary and essential reading for researchers and students of cognitive psychology, neuroscience, philosophy, and economics.

Author : Susan F. Chipman
Publisher : Oxford University Press
ISBN 13 : 0199842191
Total Pages : 393 pages
Book Rating : 4.93/5 ( download)

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Download or read book The Oxford Handbook of Cognitive Science written by Susan F. Chipman and published by Oxford University Press. This book was released on 2017 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Oxford Handbook of Cognitive Science emphasizes the research and theory most central to modern cognitive science: computational theories of complex human cognition. Additional facets of cognitive science are discussed in the handbook's introductory chapter.

Author : Birte U. Forstmann
Publisher : Springer Nature
ISBN 13 : 3031452712
Total Pages : 384 pages
Book Rating : 4.10/5 ( download)

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Download or read book An Introduction to Model-Based Cognitive Neuroscience written by Birte U. Forstmann and published by Springer Nature. This book was released on with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Jerome R. Busemeyer
Publisher : SAGE
ISBN 13 : 0761924507
Total Pages : 225 pages
Book Rating : 4.00/5 ( download)

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Download or read book Cognitive Modeling written by Jerome R. Busemeyer and published by SAGE. This book was released on 2010 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: Responding to an explosion of new mathematical and computational models used in the fields of cognitive science, this book provides simple tutorials concerning the development and testing of such models. The authors focus on a few key models, with a primary goal of equipping readers with the fundamental principles, methods, and tools necessary for evaluating and testing any type of model encountered in the field of cognitive science.

Author : Tomas Veloz
Publisher : Springer Nature
ISBN 13 : 303141862X
Total Pages : 191 pages
Book Rating : 4.24/5 ( download)

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Download or read book Trends and Challenges in Cognitive Modeling written by Tomas Veloz and published by Springer Nature. This book was released on 2024-01-23 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents interdisciplinary research in the science of Human Cognition through mathematical and computational modeling and simulation. Featuring new approaches developed by leading experts in the field of cognitive science, it highlights the relevance and depth of this important area of social sciences and its expanding reach into the biological, physical, computational and mathematical sciences. This contributed volume compiles the most recent advancements and cutting-edge applications of cognitive modeling, employing a genuinely multidisciplinary approach to simulate thinking, memory, and decision-making. The topics covered encompass a wide range of subjects, such as Agent-based Modeling in psychological research, the Nyayasutra proof pattern, the utilization of the Pheromone Trail Algorithm for modeling Analog Memory, the theory and practical applications of Social Laser Theory, addressing the challenges of probabilistic learning in brain and behavior models, adopting a Physicalistic perspective to understand the emergence of cognition and computation, an in-depth analysis of the conjunction fallacy as a factual occurrence, exploring quantum modeling and causality in physics and its extensions, examining compositional vector semantics within spiking neural networks, delving into the realms of Optimality, Prototypes, and Bilingualism, and finally, investigating the intricate dimensionality of color perception. Given its scope and approach, the book will benefit researchers and students of computational social sciences, mathematics and its applications, quantum physics.