Mathematical Models of Perception and Cognition Volume II

Mathematical Models of Perception and Cognition Volume II

Author: Joseph Houpt

Publisher: Routledge

Published: 2016-05-20

Total Pages: 271

ISBN-13: 1317297490

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In this two volume festschrift, contributors explore the theoretical developments (Volume I) and applications (Volume II) in traditional cognitive psychology domains, and model other areas of human performance that benefit from rigorous mathematical approaches. It brings together former classmates, students and colleagues of Dr. James T. Townsend, a pioneering researcher in the field since the early 1960s, to provide a current overview of mathematical modeling in psychology. Townsend’s research critically emphasized a need for rigor in the practice of cognitive modeling, and for providing mathematical definition and structure to ill-defined psychological topics. The research captured demonstrates how the interplay of theory and application, bridged by rigorous mathematics, can move cognitive modeling forward.


Book Synopsis Mathematical Models of Perception and Cognition Volume II by : Joseph Houpt

Download or read book Mathematical Models of Perception and Cognition Volume II written by Joseph Houpt and published by Routledge. This book was released on 2016-05-20 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this two volume festschrift, contributors explore the theoretical developments (Volume I) and applications (Volume II) in traditional cognitive psychology domains, and model other areas of human performance that benefit from rigorous mathematical approaches. It brings together former classmates, students and colleagues of Dr. James T. Townsend, a pioneering researcher in the field since the early 1960s, to provide a current overview of mathematical modeling in psychology. Townsend’s research critically emphasized a need for rigor in the practice of cognitive modeling, and for providing mathematical definition and structure to ill-defined psychological topics. The research captured demonstrates how the interplay of theory and application, bridged by rigorous mathematics, can move cognitive modeling forward.


Mathematical Models of Perception and Cognition

Mathematical Models of Perception and Cognition

Author: Joseph W. Houpt

Publisher: Psychology Press

Published: 2018-04-27

Total Pages: 284

ISBN-13: 9781138600263

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In this two volume festschrift, contributors explore the theoretical developments (Volume I) and applications (Volume II) in traditional cognitive psychology domains, and model other areas of human performance that benefit from rigorous mathematical approaches. It brings together former classmates, students and colleagues of Dr. James T. Townsend, a pioneering researcher in the field since the early 1960s, to provide a current overview of mathematical modeling in psychology. Townsend¿s research critically emphasized a need for rigor in the practice of cognitive modeling, and for providing mathematical definition and structure to ill-defined psychological topics. The research captured demonstrates how the interplay of theory and application, bridged by rigorous mathematics, can move cognitive modeling forward.


Book Synopsis Mathematical Models of Perception and Cognition by : Joseph W. Houpt

Download or read book Mathematical Models of Perception and Cognition written by Joseph W. Houpt and published by Psychology Press. This book was released on 2018-04-27 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this two volume festschrift, contributors explore the theoretical developments (Volume I) and applications (Volume II) in traditional cognitive psychology domains, and model other areas of human performance that benefit from rigorous mathematical approaches. It brings together former classmates, students and colleagues of Dr. James T. Townsend, a pioneering researcher in the field since the early 1960s, to provide a current overview of mathematical modeling in psychology. Townsend¿s research critically emphasized a need for rigor in the practice of cognitive modeling, and for providing mathematical definition and structure to ill-defined psychological topics. The research captured demonstrates how the interplay of theory and application, bridged by rigorous mathematics, can move cognitive modeling forward.


Mathematical Models of Perception and Cognition Volume I

Mathematical Models of Perception and Cognition Volume I

Author: Joseph W. Houpt

Publisher: Psychology Press

Published: 2016-05-20

Total Pages: 306

ISBN-13: 1317297512

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In this two volume festschrift, contributors explore the theoretical developments (Volume I) and applications (Volume II) in traditional cognitive psychology domains, and model other areas of human performance that benefit from rigorous mathematical approaches. It brings together former classmates, students and colleagues of Dr. James T. Townsend, a pioneering researcher in the field since the early 1960s, to provide a current overview of mathematical modeling in psychology. Townsend’s research critically emphasized a need for rigor in the practice of cognitive modeling, and for providing mathematical definition and structure to ill-defined psychological topics. The research captured demonstrates how the interplay of theory and application, bridged by rigorous mathematics, can move cognitive modeling forward.


Book Synopsis Mathematical Models of Perception and Cognition Volume I by : Joseph W. Houpt

Download or read book Mathematical Models of Perception and Cognition Volume I written by Joseph W. Houpt and published by Psychology Press. This book was released on 2016-05-20 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this two volume festschrift, contributors explore the theoretical developments (Volume I) and applications (Volume II) in traditional cognitive psychology domains, and model other areas of human performance that benefit from rigorous mathematical approaches. It brings together former classmates, students and colleagues of Dr. James T. Townsend, a pioneering researcher in the field since the early 1960s, to provide a current overview of mathematical modeling in psychology. Townsend’s research critically emphasized a need for rigor in the practice of cognitive modeling, and for providing mathematical definition and structure to ill-defined psychological topics. The research captured demonstrates how the interplay of theory and application, bridged by rigorous mathematics, can move cognitive modeling forward.


Multidimensional Models of Perception and Cognition

Multidimensional Models of Perception and Cognition

Author: F. Gregory Ashby

Publisher: Psychology Press

Published: 2014-02-04

Total Pages: 582

ISBN-13: 1317784030

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The mental representations of perceptual and cognitive stimuli vary on many dimensions. In addition, because of quantal fluctuations in the stimulus, spontaneous neural activity, and fluctuations in arousal and attentiveness, mental events are characterized by an inherent variability. During the last several years, a number of models and theories have been developed that explicitly assume the appropriate mental representation is both multidimensional and probabilistic. This new approach has the potential to revolutionize the study of perception and cognition in the same way that signal detection theory revolutionized the study of psychophysics. This unique volume is the first to critically survey this important new area of research.


Book Synopsis Multidimensional Models of Perception and Cognition by : F. Gregory Ashby

Download or read book Multidimensional Models of Perception and Cognition written by F. Gregory Ashby and published by Psychology Press. This book was released on 2014-02-04 with total page 582 pages. Available in PDF, EPUB and Kindle. Book excerpt: The mental representations of perceptual and cognitive stimuli vary on many dimensions. In addition, because of quantal fluctuations in the stimulus, spontaneous neural activity, and fluctuations in arousal and attentiveness, mental events are characterized by an inherent variability. During the last several years, a number of models and theories have been developed that explicitly assume the appropriate mental representation is both multidimensional and probabilistic. This new approach has the potential to revolutionize the study of perception and cognition in the same way that signal detection theory revolutionized the study of psychophysics. This unique volume is the first to critically survey this important new area of research.


The Psychophysics of Learning

The Psychophysics of Learning

Author: John N. Moye Ph.D.

Publisher: Emerald Group Publishing

Published: 2021-06-22

Total Pages: 208

ISBN-13: 1801171130

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The Psychophysics of Learning presents a learning system design approach that is formulated by the strategies and techniques the brain uses to process external information and make sense of that information to the learning ecology of all learners.


Book Synopsis The Psychophysics of Learning by : John N. Moye Ph.D.

Download or read book The Psychophysics of Learning written by John N. Moye Ph.D. and published by Emerald Group Publishing. This book was released on 2021-06-22 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Psychophysics of Learning presents a learning system design approach that is formulated by the strategies and techniques the brain uses to process external information and make sense of that information to the learning ecology of all learners.


The Creation of Scientific Psychology

The Creation of Scientific Psychology

Author: David J. Murray

Publisher: Routledge

Published: 2021-02-15

Total Pages: 264

ISBN-13: 1317218590

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Facilitates a rapprochement between psychology and physics. Brings measurement and mathematics into the study of the mind. This detailed and engaging account fills a deep gap in the history of psychology.


Book Synopsis The Creation of Scientific Psychology by : David J. Murray

Download or read book The Creation of Scientific Psychology written by David J. Murray and published by Routledge. This book was released on 2021-02-15 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Facilitates a rapprochement between psychology and physics. Brings measurement and mathematics into the study of the mind. This detailed and engaging account fills a deep gap in the history of psychology.


Invariances in Human Information Processing

Invariances in Human Information Processing

Author: Thomas Lachmann

Publisher: Routledge

Published: 2018-02-28

Total Pages: 308

ISBN-13: 1351690310

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Invariances in Human Information Processing examines and identifies processing universals and how they are implemented in elementary judgemental processes. This edited collection offers evidence that these universals can be extracted and identified from observing law-like principles in perception, cognition, and action. Addressing memory operations, development, and conceptual learning, this book considers basic and complex meso- and makro-stages of information processing. Chapter authors provide theoretical accounts of cognitive processing that may offer tools for identification of functional components in brain activity in cognitive neuroscience


Book Synopsis Invariances in Human Information Processing by : Thomas Lachmann

Download or read book Invariances in Human Information Processing written by Thomas Lachmann and published by Routledge. This book was released on 2018-02-28 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Invariances in Human Information Processing examines and identifies processing universals and how they are implemented in elementary judgemental processes. This edited collection offers evidence that these universals can be extracted and identified from observing law-like principles in perception, cognition, and action. Addressing memory operations, development, and conceptual learning, this book considers basic and complex meso- and makro-stages of information processing. Chapter authors provide theoretical accounts of cognitive processing that may offer tools for identification of functional components in brain activity in cognitive neuroscience


Connectionist Models of Cognition and Perception II

Connectionist Models of Cognition and Perception II

Author: Howard Bowman

Publisher: World Scientific

Published: 2004-04-15

Total Pages: 320

ISBN-13: 9814482935

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This book collects together refereed versions of papers presented at the Eighth Neural Computation and Psychology Workshop (NCPW 8). NCPW is a well-established workshop series that brings together researchers from different disciplines, such as artificial intelligence, cognitive science, computer science, neurobiology, philosophy and psychology. The articles are centred on the theme of connectionist modelling of cognition and perceptionn. The proceedings have been selected for coverage in: • Index to Scientific & Technical Proceedings® (ISTP® / ISI Proceedings) • Index to Scientific & Technical Proceedings (ISTP CDROM version / ISI Proceedings) • Index to Social Sciences & Humanities Proceedings® (ISSHP® / ISI Proceedings) • Index to Social Sciences & Humanities Proceedings (ISSHP CDROM version / ISI Proceedings) • CC Proceedings — Engineering & Physical Sciences • CC Proceedings — Biomedical, Biological & Agricultural Sciences Contents:An Extended Buffer Model for Active Maintenance and Selective Updating (E J Davelaar & M Usher)Applying Forward Models to Sequence Learning: A Connectionist Implementation (D Theofilou, A Destrebecqz & A Cleeremans)Modelling Asymmetric Infant Categorization with the Representational Acuity Hypothesis (G Westermann & D Mareschal)Solving the Visual Expertise Mystery (C A Joyce & G W Cottrell)Through Attention to Consciousness by CODAM (J G Taylor)Modeling Visual Search: Evolving the Selective Attention for Identification Model (SAIM) (D Heinke, G W Humphreys & C L Tweed)A Temporal Attractor Framework for the Development of Analogical Completion (R Leech, D Mareschal & R Cooper)On the Evolution of Irrational Behaviour (J A Bullinaria)Reading, Sublexical Units and Scrambled Words: Capturing the Human Data (R C Shillcock & P Monaghan)and other papers Readership: Graduate students, academics and researchers in neural networks, artificial intelligence and psychology. Keywords:Neural Networks;Connectionism;Psychology;Perception;Cognition


Book Synopsis Connectionist Models of Cognition and Perception II by : Howard Bowman

Download or read book Connectionist Models of Cognition and Perception II written by Howard Bowman and published by World Scientific. This book was released on 2004-04-15 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book collects together refereed versions of papers presented at the Eighth Neural Computation and Psychology Workshop (NCPW 8). NCPW is a well-established workshop series that brings together researchers from different disciplines, such as artificial intelligence, cognitive science, computer science, neurobiology, philosophy and psychology. The articles are centred on the theme of connectionist modelling of cognition and perceptionn. The proceedings have been selected for coverage in: • Index to Scientific & Technical Proceedings® (ISTP® / ISI Proceedings) • Index to Scientific & Technical Proceedings (ISTP CDROM version / ISI Proceedings) • Index to Social Sciences & Humanities Proceedings® (ISSHP® / ISI Proceedings) • Index to Social Sciences & Humanities Proceedings (ISSHP CDROM version / ISI Proceedings) • CC Proceedings — Engineering & Physical Sciences • CC Proceedings — Biomedical, Biological & Agricultural Sciences Contents:An Extended Buffer Model for Active Maintenance and Selective Updating (E J Davelaar & M Usher)Applying Forward Models to Sequence Learning: A Connectionist Implementation (D Theofilou, A Destrebecqz & A Cleeremans)Modelling Asymmetric Infant Categorization with the Representational Acuity Hypothesis (G Westermann & D Mareschal)Solving the Visual Expertise Mystery (C A Joyce & G W Cottrell)Through Attention to Consciousness by CODAM (J G Taylor)Modeling Visual Search: Evolving the Selective Attention for Identification Model (SAIM) (D Heinke, G W Humphreys & C L Tweed)A Temporal Attractor Framework for the Development of Analogical Completion (R Leech, D Mareschal & R Cooper)On the Evolution of Irrational Behaviour (J A Bullinaria)Reading, Sublexical Units and Scrambled Words: Capturing the Human Data (R C Shillcock & P Monaghan)and other papers Readership: Graduate students, academics and researchers in neural networks, artificial intelligence and psychology. Keywords:Neural Networks;Connectionism;Psychology;Perception;Cognition


Trends and Challenges in Cognitive Modeling

Trends and Challenges in Cognitive Modeling

Author: Tomas Veloz

Publisher: Springer Nature

Published: 2024-01-23

Total Pages: 191

ISBN-13: 303141862X

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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.


Book Synopsis Trends and Challenges in Cognitive Modeling by : Tomas Veloz

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.


Systems Factorial Technology

Systems Factorial Technology

Author: Daniel Little

Publisher: Academic Press

Published: 2017-04-10

Total Pages: 428

ISBN-13: 0128043865

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Systems Factorial Technology: A Theory Driven Methodology for the Identification of Perceptual and Cognitive Mechanisms explores the theoretical and methodological tools used to investigate fundamental questions central to basic psychological and perceptual processes. Such processes include detection, identification, classification, recognition, and decision-making. This book collects the tools that allow researchers to deal with the pervasive model mimicry problems which exist in standard experimental and theoretical paradigms and includes novel applications to not only basic psychological questions, but also clinical diagnosis and links to neuroscience. Researchers can use this book to begin using the methodology behind SFT and to get an overview of current uses and future directions. The collected developments and applications of SFT allow us to peer inside the human mind and provide strong constraints on psychological theory. Provides a thorough introduction to the diagnostic tools offered by SFT Includes a tutorial on applying the method to reaction time data from a variety of different situations Introduces novel advances for testing the significance of SFT results Incorporates new measures that allow for the relaxation of the high accuracy criterion Examines tools to expand the scope of SFT analyses Applies SFT to a spectrum of different cognitive domains across different sensory modalities


Book Synopsis Systems Factorial Technology by : Daniel Little

Download or read book Systems Factorial Technology written by Daniel Little and published by Academic Press. This book was released on 2017-04-10 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: Systems Factorial Technology: A Theory Driven Methodology for the Identification of Perceptual and Cognitive Mechanisms explores the theoretical and methodological tools used to investigate fundamental questions central to basic psychological and perceptual processes. Such processes include detection, identification, classification, recognition, and decision-making. This book collects the tools that allow researchers to deal with the pervasive model mimicry problems which exist in standard experimental and theoretical paradigms and includes novel applications to not only basic psychological questions, but also clinical diagnosis and links to neuroscience. Researchers can use this book to begin using the methodology behind SFT and to get an overview of current uses and future directions. The collected developments and applications of SFT allow us to peer inside the human mind and provide strong constraints on psychological theory. Provides a thorough introduction to the diagnostic tools offered by SFT Includes a tutorial on applying the method to reaction time data from a variety of different situations Introduces novel advances for testing the significance of SFT results Incorporates new measures that allow for the relaxation of the high accuracy criterion Examines tools to expand the scope of SFT analyses Applies SFT to a spectrum of different cognitive domains across different sensory modalities