Introduction To Modeling Cognitive Processes

Author : Tom Verguts
Publisher : MIT Press
Page : 265 pages
File Size : 44,8 Mb
Release : 2022-02-08
Category : Science
ISBN : 9780262362313

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Introduction to Modeling Cognitive Processes by Tom Verguts Pdf

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 : Thad A. Polk,Colleen M. Seifert
Publisher : MIT Press
Page : 1300 pages
File Size : 51,6 Mb
Release : 2002
Category : Psychology
ISBN : 0262661160

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Cognitive Modeling by Thad A. Polk,Colleen M. Seifert Pdf

A comprehensive introduction to the computational modeling of human cognition.

Author : Richard P. Cooper With Contributi,Peter G. Yule,John Fox,David W. Glasspool,Richard P. Cooper
Publisher : Psychology Press
Page : 460 pages
File Size : 52,8 Mb
Release : 2013-05-13
Category : Psychology
ISBN : 9781135646813

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Modelling High-level Cognitive Processes by Richard P. Cooper With Contributi,Peter G. Yule,John Fox,David W. Glasspool,Richard P. Cooper Pdf

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.

Author : Daniel S. Levine
Publisher : Psychology Press
Page : 573 pages
File Size : 49,8 Mb
Release : 2000-02-01
Category : Psychology
ISBN : 9781135692247

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Introduction to Neural and Cognitive Modeling by Daniel S. Levine Pdf

This thoroughly, thoughtfully revised edition of a very successful textbook makes the principles and the details of neural network modeling accessible to cognitive scientists of all varieties as well as to others interested in these models. Research since the publication of the first edition has been systematically incorporated into a framework of proven pedagogical value. Features of the second edition include: * A new section on spatiotemporal pattern processing * Coverage of ARTMAP networks (the supervised version of adaptive resonance networks) and recurrent back-propagation networks * A vastly expanded section on models of specific brain areas, such as the cerebellum, hippocampus, basal ganglia, and visual and motor cortex * Up-to-date coverage of applications of neural networks in areas such as combinatorial optimization and knowledge representation As in the first edition, the text includes extensive introductions to neuroscience and to differential and difference equations as appendices for students without the requisite background in these areas. As graphically revealed in the flowchart in the front of the book, the text begins with simpler processes and builds up to more complex multilevel functional systems. For more information visit the author's personal Web site at www.uta.edu/psychology/faculty/levine/

Author : Richard P. Cooper
Publisher : Psychology Press
Page : 415 pages
File Size : 45,8 Mb
Release : 2002
Category : Computers
ISBN : 080583883X

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Modelling High-level Cognitive Processes by Richard P. Cooper Pdf

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.

Author : Birte U. Forstmann
Publisher : Springer Nature
Page : 384 pages
File Size : 44,7 Mb
Release : 2024-05-05
Category : Electronic
ISBN : 9783031452710

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An Introduction to Model-Based Cognitive Neuroscience by Birte U. Forstmann Pdf

Author : Jan Treur
Publisher : Springer
Page : 499 pages
File Size : 44,7 Mb
Release : 2016-10-03
Category : Science
ISBN : 9783319452135

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Network-Oriented Modeling by Jan Treur Pdf

This book presents a new approach that can be applied to complex, integrated individual and social human processes. It provides an alternative means of addressing complexity, better suited for its purpose than and effectively complementing traditional strategies involving isolation and separation assumptions. Network-oriented modeling allows high-level cognitive, affective and social models in the form of (cyclic) graphs to be constructed, which can be automatically transformed into executable simulation models. The modeling format used makes it easy to take into account theories and findings about complex cognitive and social processes, which often involve dynamics based on interrelating cycles. Accordingly, it makes it possible to address complex phenomena such as the integration of emotions within cognitive processes of all kinds, of internal simulations of the mental processes of others, and of social phenomena such as shared understandings and collective actions. A variety of sample models – including those for ownership of actions, fear and dreaming, the integration of emotions in joint decision-making based on empathic understanding, and evolving social networks – illustrate the potential of the approach. Dedicated software is available to support building models in a conceptual or graphical manner, transforming them into an executable format and performing simulation experiments. The majority of the material presented has been used and positively evaluated by undergraduate and graduate students and researchers in the cognitive, social and AI domains. Given its detailed coverage, the book is ideally suited as an introduction for graduate and undergraduate students in many different multidisciplinary fields involving cognitive, affective, social, biological, and neuroscience domains.

Author : Birte U. Forstmann,Eric-Jan Wagenmakers
Publisher : Springer
Page : 354 pages
File Size : 49,7 Mb
Release : 2015-04-20
Category : Medical
ISBN : 9781493922369

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An Introduction to Model-Based Cognitive Neuroscience by Birte U. Forstmann,Eric-Jan Wagenmakers Pdf

Two recent innovations, the emergence of formal cognitive models and the addition of cognitive neuroscience data to the traditional behavioral data, have resulted in the birth of a new, interdisciplinary field of study: model-based cognitive neuroscience. Despite the increasing scientific interest in model-based cognitive neuroscience, few active researchers and even fewer students have a good knowledge of the two constituent disciplines. The main goal of this edited collection is to promote the integration of cognitive modeling and cognitive neuroscience. Experts in the field will provide tutorial-style chapters that explain particular techniques and highlight their usefulness through concrete examples and numerous case studies. The book will also include a thorough list of references pointing the reader towards additional literature and online resources.

Author : Jerome R. Busemeyer,Adele Diederich
Publisher : SAGE
Page : 225 pages
File Size : 48,6 Mb
Release : 2010
Category : Psychology
ISBN : 9780761924500

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Cognitive Modeling by Jerome R. Busemeyer,Adele Diederich Pdf

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 : Adrian Brasoveanu,Jakub Dotlačil
Publisher : Springer Nature
Page : 299 pages
File Size : 43,5 Mb
Release : 2020-01-01
Category : Language and languages
ISBN : 9783030318468

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Computational Cognitive Modeling and Linguistic Theory by Adrian Brasoveanu,Jakub Dotlačil Pdf

This open access book introduces a general framework that allows natural language researchers to enhance existing competence theories with fully specified performance and processing components. Gradually developing increasingly complex and cognitively realistic competence-performance models, it provides running code for these models and shows how to fit them to real-time experimental data. This computational cognitive modeling approach opens up exciting new directions for research in formal semantics, and linguistics more generally, and offers new ways of (re)connecting semantics and the broader field of cognitive science. The approach of this book is novel in more ways than one. Assuming the mental architecture and procedural modalities of Anderson's ACT-R framework, it presents fine-grained computational models of human language processing tasks which make detailed quantitative predictions that can be checked against the results of self-paced reading and other psycho-linguistic experiments. All models are presented as computer programs that readers can run on their own computer and on inputs of their choice, thereby learning to design, program and run their own models. But even for readers who won't do all that, the book will show how such detailed, quantitatively predicting modeling of linguistic processes is possible. A methodological breakthrough and a must for anyone concerned about the future of linguistics! (Hans Kamp) This book constitutes a major step forward in linguistics and psycholinguistics. It constitutes a unique synthesis of several different research traditions: computational models of psycholinguistic processes, and formal models of semantics and discourse processing. The work also introduces a sophisticated python-based software environment for modeling linguistic processes. This book has the potential to revolutionize not only formal models of linguistics, but also models of language processing more generally. (Shravan Vasishth) .

Author : Zheng Joyce Wang,Jerome R. Busemeyer
Publisher : MIT Press
Page : 305 pages
File Size : 46,5 Mb
Release : 2021-03-09
Category : Science
ISBN : 9780262361651

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Cognitive Choice Modeling by Zheng Joyce Wang,Jerome R. Busemeyer Pdf

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 : Peter McLeod,Kim Plunkett,Edmund T. Rolls
Publisher : Oxford University Press, USA
Page : 388 pages
File Size : 52,7 Mb
Release : 1998-01-01
Category : Science
ISBN : 0198524277

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Introduction to Connectionist Modelling of Cognitive Processes by Peter McLeod,Kim Plunkett,Edmund T. Rolls Pdf

Describes the principles of connectionist modelling, and its application in understanding how the brain produces speech, forms memories, recognizes faces, and how intellect develops and deteriorates after brain damage.

Author : Ron Sun
Publisher : Cambridge University Press
Page : 767 pages
File Size : 49,7 Mb
Release : 2008-04-28
Category : Computers
ISBN : 9780521674102

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The Cambridge Handbook of Computational Psychology by Ron Sun Pdf

A cutting-edge reference source for the interdisciplinary field of computational cognitive modeling.

Author : Ralf Engbert
Publisher : Springer Nature
Page : 158 pages
File Size : 40,9 Mb
Release : 2021-03-02
Category : Psychology
ISBN : 9783030672997

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Dynamical Models In Neurocognitive Psychology by Ralf Engbert Pdf

The development of cognitive models is a key step in the challenging research program to advance our understanding of human cognition and behavior. Dynamical models represent a general and flexible approach to cognitive modeling. This introduction focuses on applications of stochastic processes and dynamical systems to model cognition. The dynamical approach is particularly useful to emphasize the strong link between experimental research (and its paradigms), data analysis, and mathematical models including their computer implementation for numerical simulation. Most of specific examples are from the domain of eye movement research, with concepts being applicable to a broad range of problems in cognitive modeling. The textbook aims at the graduate and/or advanced undergraduate level for students in Cognitive Science and related disciplines such as Psychology and Computer Science. Joint introduction of the theory of cognitive processes and mathematical models, their underlying mathematical concepts, numerical simulation, and analysis; The focus on eye movements provide a theoretically coherent, but very general application area; Computer code in R Programming Language for Statistical Computing is available for all examples, figures, and solutions to exercises.

Author : Myint Swe Khine,Issa M. Saleh
Publisher : Springer Science & Business Media
Page : 292 pages
File Size : 48,9 Mb
Release : 2011-03-01
Category : Science
ISBN : 9789400704497

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Models and Modeling by Myint Swe Khine,Issa M. Saleh Pdf

The process of developing models, known as modeling, allows scientists to visualize difficult concepts, explain complex phenomena and clarify intricate theories. In recent years, science educators have greatly increased their use of modeling in teaching, especially real-time dynamic modeling, which is central to a scientific investigation. Modeling in science teaching is being used in an array of fields, everything from primary sciences to tertiary chemistry to college physics, and it is sure to play an increasing role in the future of education. Models and Modeling: Cognitive Tools for Scientific Enquiry is a comprehensive introduction to the use of models and modeling in science education. It identifies and describes many different modeling tools and presents recent applications of modeling as a cognitive tool for scientific enquiry.