Experiments And Modeling In Cognitive Science

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Experiments and Modeling in Cognitive Science

Fabien Mathy,Mustapha Chekaf
Experiments and Modeling in Cognitive Science Book PDF

Author : Fabien Mathy,Mustapha Chekaf
Publisher : Elsevier
Page : 302 pages
File Size : 40,9 Mb
Release : 2018-11-22
Category : Psychology
ISBN : 9780081027974

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Experiments and Modeling in Cognitive Science by Fabien Mathy,Mustapha Chekaf Pdf

Software Simulation and Modeling in Psychology: MATLAB, SPSS, Excel and E-Prime describes all the stages of psychology experimentation, from the manipulation of factors, to statistical analysis, data modeling, and automated stimuli creation. The book shows how software can help automate various stages of the experiment for which operations may quickly become repetitive. For example, it shows how to compile data files (instead of opening files one by one to copy and paste), generate stimuli (instead of drawing one by one in a drawing software), and transform and recode tables of data. This type of modeling in psychology helps determine if a model fits the data, and also demonstrates that the algorithmic is not only useful, but essential for modeling data. Covers the entire process of experimenting, from designing an experiment, to modeling the data Shows how software can help automate various stages of the experiment for which operations may quickly become repetitive Contains sections on how to compile data files (instead of opening files one by one to copy and paste) and generate stimuli (instead of drawing one by one in a drawing software)

Cognitive Modeling

Thad A. Polk,Colleen M. Seifert
Cognitive Modeling Book PDF

Author : Thad A. Polk,Colleen M. Seifert
Publisher : MIT Press
Page : 1300 pages
File Size : 50,5 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.

Introduction to Modeling Cognitive Processes

Tom Verguts
Introduction to Modeling Cognitive Processes Book PDF

Author : Tom Verguts
Publisher : MIT Press
Page : 265 pages
File Size : 40,9 Mb
Release : 2022-02-01
Category : Science
ISBN : 9780262045360

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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.

Trends and Challenges in Cognitive Modeling

Tomas Veloz,Andrei Khrennikov,Bourama Toni,Ramón D. Castillo
Trends and Challenges in Cognitive Modeling Book PDF

Author : Tomas Veloz,Andrei Khrennikov,Bourama Toni,Ramón D. Castillo
Publisher : Springer Nature
Page : 191 pages
File Size : 50,5 Mb
Release : 2024-01-23
Category : Mathematics
ISBN : 9783031418624

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Trends and Challenges in Cognitive Modeling by Tomas Veloz,Andrei Khrennikov,Bourama Toni,Ramón D. Castillo Pdf

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.

Cognitive Modeling in Perception and Memory

J G W Raaijmakers,Robert Goldstone,Mark Steyvers,Amy Criss,Robert Nosofsky
Cognitive Modeling in Perception and Memory Book PDF

Author : J G W Raaijmakers,Robert Goldstone,Mark Steyvers,Amy Criss,Robert Nosofsky
Publisher : Psychology Press
Page : 329 pages
File Size : 55,6 Mb
Release : 2015-02-11
Category : Psychology
ISBN : 9781134629329

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Cognitive Modeling in Perception and Memory by J G W Raaijmakers,Robert Goldstone,Mark Steyvers,Amy Criss,Robert Nosofsky Pdf

The work of Richard M. Shiffrin has highly impacted the field of cognitive science, and current developments within perception and memory have been influenced by his ideas. In this volume, several key figures in the field will comment on these developments and put them in a wider perspective. Although many theories and models have been presented in recent years for various aspects of human cognition, there have not been many comparative evaluations that focus on how these models have really advanced our understanding of the underlying mechanisms. This volume will be a valuable source of information for both cognitive scientists working in the field, and researchers and students looking for a clear, accessible presentation of the key problems in cognitive science. Highlighted sections include attention and perception, memory functions and processes, knowledge representation and semantics, modelling approaches and applications.

Mind as Machine

Margaret A. Boden
Mind as Machine Book PDF

Author : Margaret A. Boden
Publisher : Oxford University Press
Page : 789 pages
File Size : 45,7 Mb
Release : 2008-06-19
Category : Computers
ISBN : 9780199543168

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Mind as Machine by Margaret A. Boden Pdf

The development of cognitive science is one of the most remarkable and fascinating intellectual achievements of the modern era. The quest to understand the mind is as old as recorded human thought; but the progress of modern science has offered new methods and techniques which have revolutionized this enquiry. Oxford University Press now presents a masterful history of cognitive science, told by one of its most eminent practitioners. Cognitive science is the project of understanding the mind by modeling its workings. Psychology is its heart, but it draws together various adjoining fields of research, including artificial intelligence; neuroscientific study of the brain; philosophical investigation of mind, language, logic, and understanding; computational work on logic and reasoning; linguistic research on grammar, semantics, and communication; and anthropological explorations of human similarities and differences. Each discipline, in its own way, asks what the mind is, what it does, how it works, how it developed - how it is even possible. The key distinguishing characteristic of cognitive science, Boden suggests, compared with older ways of thinking about the mind, is the notion of understanding the mind as a kind of machine. She traces the origins of cognitive science back to Descartes's revolutionary ideas, and follows the story through the eighteenth and nineteenth centuries, when the pioneers of psychology and computing appear. Then she guides the reader through the complex interlinked paths along which the study of the mind developed in the twentieth century. Cognitive science, in Boden's broad conception, covers a wide range of aspects of mind: not just 'cognition' in the sense of knowledge or reasoning, but emotion, personality, social communication, and even action. In each area of investigation, Boden introduces the key ideas and the people who developed them. No one else could tell this story as Boden can: she has been an active participant in cognitive science since the 1960s, and has known many of the key figures personally. Her narrative is written in a lively, swift-moving style, enriched by the personal touch of someone who knows the story at first hand. Her history looks forward as well as back: it is her conviction that cognitive science today--and tomorrow--cannot be properly understood without a historical perspective. Mind as Machine will be a rich resource for anyone working on the mind, in any academic discipline, who wants to know how our understanding of our mental activities and capacities has developed.

Cognitive Models of Science

Ronald N. Giere
Cognitive Models of Science Book PDF

Author : Ronald N. Giere
Publisher : U of Minnesota Press
Page : 548 pages
File Size : 42,7 Mb
Release : 1992
Category : Science
ISBN : 0816619794

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Cognitive Models of Science by Ronald N. Giere Pdf

This work resulted from a workshop on the implications of the cognitive sciences for the philosophy of science held under the auspices of the Minnesota Center for Philosophy of Science. The workshop's theme was that the cognitive sciences - identified for the purposes of this project with three disciplinary clusters: artificial intelligence, cognitive psychology, and cognitive neuroscience - have reached sufficient maturity that they are now a valuable resource for philosophers of science who are developing general theories of science as a human activity. The emergence of cognitive science has by no means escaped the notice of philosophers or philosophers of science. Within the philosophy of science one can detect an emerging speciality, the philosophy of cognitive science, which would be parallel to such specialities as the philosophy of physics or the philosophy of biology. But the reverse is also happening. That is, the cognitive sciences are beginning to have a considerable impact on the content and methods of philosophy, particularly the philosophy of language and the philosophy of mind, but also on epistemology. The underlying hope is that the cognitive sciences might now come to play the sort of role within the philosophy of science that formal logic played for logical empiricism or that history of science played for the historical school. This development might permit the philosophy of science as a whole finally to move beyond the opposition between "logical" and "historical" approaches that has characterized the field since the 1960s. "Ronald N. Giere is Professor of Philosophy and Director of the Minnesota Center for Philosophy of Science at the University of Minnesota.".

Proceedings of the Twenty-Third Annual Conference of the Cognitive Science Society

Johanna D. Moore,Keith Stenning
Proceedings of the Twenty Third Annual Conference of the Cognitive Science Society Book PDF

Author : Johanna D. Moore,Keith Stenning
Publisher : Psychology Press
Page : 1204 pages
File Size : 44,6 Mb
Release : 2001
Category : Philosophy
ISBN : 0805841520

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Proceedings of the Twenty-Third Annual Conference of the Cognitive Science Society by Johanna D. Moore,Keith Stenning Pdf

Vol. includes all papers and posters presented at 2001 Cog Sci Mtg & summaries of symposia & invited addresses. Deals w/ issues of repres & model'g cog processes. Appeals to scholars in subdisciplines that comprise Cog Sci: Psych, Computr Sci, Neuro, Lin

Bayesian Cognitive Modeling

Michael D. Lee,Eric-Jan Wagenmakers
Bayesian Cognitive Modeling Book PDF

Author : Michael D. Lee,Eric-Jan Wagenmakers
Publisher : Cambridge University Press
Page : 279 pages
File Size : 50,7 Mb
Release : 2014-04-03
Category : Psychology
ISBN : 9781107653917

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Bayesian Cognitive Modeling by Michael D. Lee,Eric-Jan Wagenmakers Pdf

Bayesian inference has become a standard method of analysis in many fields of science. Students and researchers in experimental psychology and cognitive science, however, have failed to take full advantage of the new and exciting possibilities that the Bayesian approach affords. Ideal for teaching and self study, this book demonstrates how to do Bayesian modeling. Short, to-the-point chapters offer examples, exercises, and computer code (using WinBUGS or JAGS, and supported by Matlab and R), with additional support available online. No advance knowledge of statistics is required and, from the very start, readers are encouraged to apply and adjust Bayesian analyses by themselves. The book contains a series of chapters on parameter estimation and model selection, followed by detailed case studies from cognitive science. After working through this book, readers should be able to build their own Bayesian models, apply the models to their own data, and draw their own conclusions.

Introduction to Neural and Cognitive Modeling

Daniel S. Levine
Introduction to Neural and Cognitive Modeling Book PDF

Author : Daniel S. Levine
Publisher : Psychology Press
Page : 573 pages
File Size : 50,7 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/

Mental Models In Cognitive Science

Alan Garnham,Jane Oakhill
Mental Models In Cognitive Science Book PDF

Author : Alan Garnham,Jane Oakhill
Publisher : Psychology Press
Page : 353 pages
File Size : 44,6 Mb
Release : 2013-06-17
Category : Psychology
ISBN : 9781134835669

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Mental Models In Cognitive Science by Alan Garnham,Jane Oakhill Pdf

Phil Johnson-Laird's theory of mental models has proved to be an influential development in the cognitive sciences. This theory aims to provide a detailed account of both reasoning and inference on the one hand, and language on the other. It can therefore be regarded as a step toward the much-sought-after unified theory of cognition.; This book provides an overview of mental models research. Some of the contributors were collaborators or former graduate students of Johnson-Laird, and between them they cover the main strands of mental models theory. After an appreciation of Johnson-Laird, the book covers topics including language Processing, Reasoning, Inference, The Role Of Emotions, And The Impact Of mental illnesses on thought processes.

Model-Based Reasoning in Science and Technology

Lorenzo Magnani,Claudia Casadio
Model Based Reasoning in Science and Technology Book PDF

Author : Lorenzo Magnani,Claudia Casadio
Publisher : Springer
Page : 678 pages
File Size : 42,9 Mb
Release : 2016-07-01
Category : Philosophy
ISBN : 9783319389837

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Model-Based Reasoning in Science and Technology by Lorenzo Magnani,Claudia Casadio Pdf

This book discusses how scientific and other types of cognition make use of models, abduction, and explanatory reasoning in order to produce important or creative changes in theories and concepts. It includes revised contributions presented during the international conference on Model-Based Reasoning (MBR’015), held on June 25-27 in Sestri Levante, Italy. The book is divided into three main parts, the first of which focuses on models, reasoning and representation. It highlights key theoretical concepts from an applied perspective, addressing issues concerning information visualization, experimental methods and design. The second part goes a step further, examining abduction, problem solving and reasoning. The respective contributions analyze different types of reasoning, discussing various concepts of inference and creativity and their relationship with experimental data. In turn, the third part reports on a number of historical, epistemological and technological issues. By analyzing possible contradictions in modern research and describing representative case studies in experimental research, this part aims at fostering new discussions and stimulating new ideas. All in all, the book provides researchers and graduate students in the field of applied philosophy, epistemology, cognitive science and artificial intelligence alike with an authoritative snapshot of current theories and applications of model-based reasoning.

Computational Cognitive Modeling and Linguistic Theory

Adrian Brasoveanu,Jakub Dotlačil
Computational Cognitive Modeling and Linguistic Theory Book PDF

Author : Adrian Brasoveanu,Jakub Dotlačil
Publisher : Springer Nature
Page : 299 pages
File Size : 51,9 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) .

Introduction to Modeling Cognitive Processes

Tom Verguts
Introduction to Modeling Cognitive Processes Book PDF

Author : Tom Verguts
Publisher : MIT Press
Page : 265 pages
File Size : 46,6 Mb
Release : 2022-02-01
Category : Science
ISBN : 9780262045360

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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.

Cognitive Science in Medicine

David Andreoff Evans,Vimla L. Patel
Cognitive Science in Medicine Book PDF

Author : David Andreoff Evans,Vimla L. Patel
Publisher : Bradford Books
Page : 421 pages
File Size : 40,8 Mb
Release : 1989
Category : Psychology
ISBN : 0262050374

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Cognitive Science in Medicine by David Andreoff Evans,Vimla L. Patel Pdf

Biomedicine has become one of the best-modeled domains from several perspectives - artificial intelligence, psychology, and the social sciences; yet few studies have combined these points of view. In this book, the interdisciplinary strengths of cognitive science offer fresh insights into biomedical problem solving. Cognitive Science in Medicine presents current research that focuses on issues and results in applying techniques from cognitive science to problems in biomedicine. It includes material by researchers who have worked in both areas and is unique in linking models of physician knowledge with models of physician behavior. David Evans discusses issues of cognitive science in medicine in his introduction; and in a chapter with Cindy Gadd and Harry Pople, deals with the problem of managing coherence and context in medical problem-solving discourse. Vimla Patel, Evans, and Guy Groen provide experimental data that illuminates the role of biomedical knowledge in clinical reasoning; and Patel, Evans, and David Kaufman offer a cognitive science framework for analysis of clinical interviews. Other contributors and subjects include Clark Glymour on the empirical and representational issues in cognitive and medical science; Alan Lesgold on multilevel models of expertise; Arthur Elstein, James Dodd, and Gerald B. Holzman on the analysis of estrogen replacement decisions among residents; Kenneth R. Hammond, Elizabeth Frederick, Nichole Robillard, and Doreen Victor on the features of the student-teacher dialog in medicine; Naomi Rodolitz and William J. Clancey on tutoring for strategic knowledge; Paul J. Feltovich, Rand J. Spiro, and Richard L. Coulson on the foundations of misunderstanding in established medical knowledge; John K. Vries, Evans, and Peretz Shoval on the development of semantic networks for medical information retrieval; and John Bruer, with a preface on the implications of cognitive-scientific studies for medical education. David A. Evans is Assistant Professor of Linguistics and Computer Science at Carnegie-Mellon University and Vimla L. Patel is Associate Professor of Medicine and Educational Psychology at McGill University. A Bradford Book.