Modelling Cognition
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Computational Modeling Of Cognition And Behavior
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Author : Simon Farrell
language : en
Publisher: Cambridge University Press
Release Date : 2018-02-22
Computational Modeling Of Cognition And Behavior written by Simon Farrell and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-22 with Psychology categories.
This book presents an integrated framework for developing and testing computational models in psychology and related disciplines. Researchers and students are given the knowledge and tools to interpret models published in their area, as well as to develop, fit, and test their own models.
Modelling Cognition
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Author : Peter E. Morris
language : en
Publisher:
Release Date : 1987-09-28
Modelling Cognition written by Peter E. Morris and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987-09-28 with Computers categories.
Presents major discussions of current issues in modelling human cognition along with examples of such models. This book provides an overview of problems and advances in an area that has become increasingly important in recent years and which is attracting further interest as cognitive science becomes an established approach linking psychology, philosophy, artificial intelligence, and linguistics. Special attention is given to models that cope with novelty and the evidence of the value of computational models. The essays were originally presented at the International Workshop on Modelling Cognition, 1985. Contributors include many of the foremost international experts in the field.
Computational Modeling In Cognition
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Author : Stephan Lewandowsky
language : en
Publisher: SAGE
Release Date : 2010-11-29
Computational Modeling In Cognition written by Stephan Lewandowsky and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-29 with Psychology categories.
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An Interdisciplinary Approach To Cognitive Modelling
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Author : Partha Ghose
language : en
Publisher: Taylor & Francis
Release Date : 2023-12-05
An Interdisciplinary Approach To Cognitive Modelling written by Partha Ghose and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-05 with Philosophy categories.
An Interdisciplinary Approach to Cognitive Modelling presents a new approach to cognition that challenges long-held views. It systematically develops a broad-based framework to model cognition, which is mathematically equivalent to the emerging ‘quantum-like modelling’ of the human mind. The book argues that a satisfactory physical and philosophical basis of such an approach is missing, a particular issue being the application of quantization to the mind for which there is no empirical evidence as yet. In response to this issue, the book adopts a COM (classical optical modelling) approach, broad-based but mathematically equivalent to quantum-like modelling while avoiding its problematic features. It presents a philosophically informed and empirically motivated mathematical model of cognition, mainly concerning decision-making processes. It also deals with applications to different areas of the social sciences. It will be of interest to scholars and research students interested in the mathematical modelling of cognition and decision-making, and also interdisciplinary researchers interested in broader issues of cognition.
Models And Cognition
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Author : Jonathan A. Waskan
language : en
Publisher: MIT Press
Release Date : 2012-01-13
Models And Cognition written by Jonathan A. Waskan and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-01-13 with Philosophy categories.
A groundbreaking argument challenging the traditional linguistic representational model of cognition proposes that representational states should be conceptualized as the cognitive equivalent of scale models. In this groundbreaking book, Jonathan Waskan challenges cognitive science's dominant model of mental representation and proposes a novel, well-devised alternative. The traditional view in the cognitive sciences uses a linguistic (propositional) model of mental representation. This logic-based model of cognition informs and constrains both the classical tradition of artificial intelligence and modeling in the connectionist tradition. It falls short, however, when confronted by the frame problem—the lack of a principled way to determine which features of a representation must be updated when new information becomes available. Proposed alternatives, including the imagistic model, have not so far resolved this problem. Waskan proposes instead the Intrinsic Cognitive Models (ICM) hypothesis, which argues that representational states can be conceptualized as the cognitive equivalent of scale models. Waskan argues further that the proposal that humans harbor and manipulate these cognitive counterparts to scale models offers the only viable explanation for what most clearly differentiates humans from other creatures: their capacity to engage in truth-preserving manipulation of representations.
Modelling High Level Cognitive Processes
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Author : Richard P. Cooper With Contributi
language : en
Publisher: Psychology Press
Release Date : 2013-05-13
Modelling High Level Cognitive Processes written by Richard P. Cooper With Contributi and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-13 with Psychology categories.
This book is a practical guide to building computational models of high-level cognitive processes and systems. High-level processes are those central cognitive processes involved in thinking, reasoning, planning, and so on. These processes appear to share representational and processing requirements, and it is for this reason that they are considered together in this text. The book is divided into three parts. Part I considers foundational and background issues. Part II provides a series of case studies spanning a range of cognitive domains. Part III reflects upon issues raised by the case studies. Teachers of cognitive modeling may use material from Part I to structure lectures and practical sessions, with chapters in Part II forming the basis of in-depth student projects. All models discussed in this book are developed within the COGENT environments. COGENT provides a graphical interface in which models may be sketched as "box and arrow" diagrams and is both a useful teaching tool and a productive research tool. As such, this book is designed to be of use to both students of cognitive modeling and active researchers. For students, the book provides essential background material plus an extensive set of example models, exercises and project material. Researchers of both symbolic and connectionist persuasions will find the book of interest for its approach to cognitive modeling, which emphasizes methodological issues. They will also find that the COGENT environment itself has much to offer.
Cognitive Modeling
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Author : Jerome R. Busemeyer
language : en
Publisher: SAGE
Release Date : 2010
Cognitive Modeling written by Jerome R. Busemeyer and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Psychology categories.
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.
Introduction To Modeling Cognitive Processes
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Author : Tom Verguts
language : en
Publisher: MIT Press
Release Date : 2022-02-01
Introduction To Modeling Cognitive Processes written by Tom Verguts and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-01 with Science categories.
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.
Integrated Models Of Cognitive Systems
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Author : Wayne D. Gray
language : en
Publisher: Oxford University Press
Release Date : 2007-04-19
Integrated Models Of Cognitive Systems written by Wayne D. Gray and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-04-19 with Psychology categories.
The field of cognitive modeling has progressed beyond modeling cognition in the context of simple laboratory tasks and begun to attack the problem of modeling it in more complex, realistic environments, such as those studied by researchers in the field of human factors. The problems that the cognitive modeling community is tackling focus on modeling certain problems of communication and control that arise when integrating with the external environment factors such as implicit and explicit knowledge, emotion, cognition, and the cognitive system. These problems must be solved in order to produce integrated cognitive models of moderately complex tasks. Architectures of cognition in these tasks focus on the control of a central system, which includes control of the central processor itself, initiation of functional processes, such as visual search and memory retrieval, and harvesting the results of these functional processes. Because the control of the central system is conceptually different from the internal control required by individual functional processes, a complete architecture of cognition must incorporate two types of theories of control: Type 1 theories of the structure, functionality, and operation of the controller, and type 2 theories of the internal control of functional processes, including how and what they communicate to the controller. This book presents the current state of the art for both types of theories, as well as contrasts among current approaches to human-performance models. It will be an important resource for professional and student researchers in cognitive science, cognitive-engineering, and human-factors. Contributors: Kevin A. Gluck, Jerry T. Ball, Michael A. Krusmark, Richard W. Pew, Chris R. Sims, Vladislav D. Veksler, John R. Anderson, Ron Sun, Nicholas L. Cassimatis, Randy J. Brou, Andrew D. Egerton, Stephanie M. Doane, Christopher W. Myers, Hansjörg Neth, Jeremy M Wolfe, Marc Pomplun, Ronald A. Rensink, Hansjörg Neth, Chris R. Sims, Peter M. Todd, Lael J. Schooler, Wai-Tat Fu, Michael C. Mozer, Sachiko Kinoshita, Michael Shettel, Alex Kirlik, Vladislav D. Veksler, Michael J. Schoelles, Jerome R. Busemeyer, Eric Dimperio, Ryan K. Jessup, Jonathan Gratch, Stacy Marsella, Glenn Gunzelmann, Kevin A. Gluck, Scott Price, Hans P. A. Van Dongen, David F. Dinges, Frank E. Ritter, Andrew L. Reifers, Laura Cousino Klein, Michael J. Schoelles, Eva Hudlicka, Hansjörg Neth, Christopher W. Myers, Dana Ballard, Nathan Sprague, Laurence T. Maloney, Julia Trommershäuser, Michael S. Landy, A. Hornof, Michael J. Schoelles, David Kieras, Dario D. Salvucci, Niels Taatgen, Erik M. Altmann, Richard A. Carlson, Andrew Howes, Richard L. Lewis, Alonso Vera, Richard P. Cooper, and Michael D. Byrne
Decision Making And Modelling In Cognitive Science
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Author : Sisir Roy
language : en
Publisher: Springer
Release Date : 2016-10-26
Decision Making And Modelling In Cognitive Science written by Sisir Roy and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-26 with Psychology categories.
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.