Experiments and Modeling in Cognitive Science

Experiments and Modeling in Cognitive Science
Author: Fabien Mathy,Mustapha Chekaf
Publsiher: Elsevier
Total Pages: 302
Release: 2018-11-22
ISBN 10: 0081027974
ISBN 13: 9780081027974
Language: EN, FR, DE, ES & NL

Experiments and Modeling in Cognitive Science Book Review:

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 Models of Science

Cognitive Models of Science
Author: Ronald N. Giere
Publsiher: U of Minnesota Press
Total Pages: 508
Release: 1992
ISBN 10: 9780816619795
ISBN 13: 0816619794
Language: EN, FR, DE, ES & NL

Cognitive Models of Science Book Review:

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.".

Experiments and Modeling in Cognitive Science

Experiments and Modeling in Cognitive Science
Author: Fabien Mathy,Mustapha Chekaf
Publsiher: Elsevier
Total Pages: 302
Release: 2018-11-22
ISBN 10: 0081027974
ISBN 13: 9780081027974
Language: EN, FR, DE, ES & NL

Experiments and Modeling in Cognitive Science Book Review:

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)

Mental Models In Cognitive Science

Mental Models In Cognitive Science
Author: Alan Garnham,Jane Oakhill
Publsiher: Psychology Press
Total Pages: 352
Release: 2013-06-17
ISBN 10: 1134835663
ISBN 13: 9781134835669
Language: EN, FR, DE, ES & NL

Mental Models In Cognitive Science Book Review:

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.

Computational Modeling of Cognition and Behavior

Computational Modeling of Cognition and Behavior
Author: Simon Farrell,Stephan Lewandowsky
Publsiher: Cambridge University Press
Total Pages: 503
Release: 2018-02-22
ISBN 10: 110710999X
ISBN 13: 9781107109995
Language: EN, FR, DE, ES & NL

Computational Modeling of Cognition and Behavior Book Review:

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.

Introduction to Neural and Cognitive Modeling

Introduction to Neural and Cognitive Modeling
Author: Daniel S. Levine
Publsiher: Psychology Press
Total Pages: 512
Release: 2000-02-01
ISBN 10: 1135692246
ISBN 13: 9781135692247
Language: EN, FR, DE, ES & NL

Introduction to Neural and Cognitive Modeling Book Review:

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/

Computational Models of Referring

Computational Models of Referring
Author: Kees van Deemter
Publsiher: MIT Press
Total Pages: 350
Release: 2016-04-29
ISBN 10: 0262034557
ISBN 13: 9780262034555
Language: EN, FR, DE, ES & NL

Computational Models of Referring Book Review:

An argument that computational models can shed light on referring, a fundamental and much-studied aspect of communication.

Bayesian Cognitive Modeling

Bayesian Cognitive Modeling
Author: Michael D. Lee,Eric-Jan Wagenmakers
Publsiher: Cambridge University Press
Total Pages: 265
Release: 2014-04-03
ISBN 10: 1107653916
ISBN 13: 9781107653917
Language: EN, FR, DE, ES & NL

Bayesian Cognitive Modeling Book Review:

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.

The Oxford Handbook of Cognitive Science

The Oxford Handbook of Cognitive Science
Author: Susan E. F. Chipman
Publsiher: Oxford University Press
Total Pages: 375
Release: 2016-12-08
ISBN 10: 0199842191
ISBN 13: 9780199842193
Language: EN, FR, DE, ES & NL

The Oxford Handbook of Cognitive Science Book Review:

Cognitive Science is an avowedly multidisciplinary field, drawing upon many traditional disciplines or research areas--including Linguistics, Neuroscience, Philosophy, Psychology, Anthropology, Artificial Intelligence, and Education--that contribute to our understanding of cognition. Just as learning and memory cannot truly prove effective as disconnected studies, practical applications of cognitive research, such as the improvement of education and human-computer interaction, require dealing with more complex cognitive phenomena by integrating the methods and insights from multiple traditional disciplines. The societal need for such applications has played an important role in the development of cognitive science. The Oxford Handbook of Cognitive Science emphasizes the research and theory that is most central to modern cognitive science. Sections of the volume address computational theories of human cognitive architecture; cognitive functioning, such as problem solving and decision making as they have been studied with both experimental methods and formal modeling approaches; and cognitive linguistics and the advent of big data. Chapters provide concise introductions to the present achievements of cognitive science, supplemented by references to suggested reading, and additional facets of cognitive science are discussed in the handbook's introductory chapter, complementing other key publications to access for further study. With contributions from among the best representatives in their fields, this volume will appeal as the critical resource for the students in training who determine the future of cognitive science.

Perspectives on Cognitive Science

Perspectives on Cognitive Science
Author: Janet Wiles,Terry Dartnall
Publsiher: Greenwood Publishing Group
Total Pages: 364
Release: 1999
ISBN 10: 9781567503821
ISBN 13: 1567503829
Language: EN, FR, DE, ES & NL

Perspectives on Cognitive Science Book Review:

The papers in this collection, and the editors' introductions, illustrate the ferment of ideas, the wide range of theories, methods and approaches, and the rich fruits of the cognitive revolution.

Mental Models

Mental Models
Author: Philip Nicholas Johnson-Laird
Publsiher: Harvard University Press
Total Pages: 513
Release: 1983
ISBN 10: 9780674568822
ISBN 13: 0674568826
Language: EN, FR, DE, ES & NL

Mental Models Book Review:

This book offers a unified theory of the major propertries of mind, including comprehension, inference, and consciousness. The author argues that we apprehend the world by building inner mental replicas of the relationships among objects and events that concern us. The mind is essentially a model-building device that can itself be modeled on a computer. The book provides a blueprint for building such a model and numberous important illustrations of how to do it.

Big Data in Cognitive Science

Big Data in Cognitive Science
Author: Michael N. Jones
Publsiher: Psychology Press
Total Pages: 382
Release: 2016-11-03
ISBN 10: 1315413566
ISBN 13: 9781315413563
Language: EN, FR, DE, ES & NL

Big Data in Cognitive Science Book Review:

While laboratory research is the backbone of collecting experimental data in cognitive science, a rapidly increasing amount of research is now capitalizing on large-scale and real-world digital data. Each piece of data is a trace of human behavior and offers us a potential clue to understanding basic cognitive principles. However, we have to be able to put the pieces together in a reasonable way, which necessitates both advances in our theoretical models and development of new methodological techniques. The primary goal of this volume is to present cutting-edge examples of mining large-scale and naturalistic data to discover important principles of cognition and evaluate theories that would not be possible without such a scale. This book also has a mission to stimulate cognitive scientists to consider new ways to harness big data in order to enhance our understanding of fundamental cognitive processes. Finally, this book aims to warn of the potential pitfalls of using, or being over-reliant on, big data and to show how big data can work alongside traditional, rigorously gathered experimental data rather than simply supersede it. In sum, this groundbreaking volume presents cognitive scientists and those in related fields with an exciting, detailed, stimulating, and realistic introduction to big data – and to show how it may greatly advance our understanding of the principles of human memory, perception, categorization, decision-making, language, problem-solving, and representation.

Cognitive Informatics Computer Modelling and Cognitive Science

Cognitive Informatics  Computer Modelling  and Cognitive Science
Author: Ganesh R. Sinha,Jasjit S. Suri
Publsiher: Academic Press
Total Pages: 396
Release: 2020-03-17
ISBN 10: 012819443X
ISBN 13: 9780128194430
Language: EN, FR, DE, ES & NL

Cognitive Informatics Computer Modelling and Cognitive Science Book Review:

Cognitive Informatics, Computer Modelling, and Cognitive Science: Theory, Case Studies, and Applications presents the theoretical background and history of cognitive science to help readers understand its foundations, philosophical and psychological aspects, and applications in a wide range of engineering and computer science case studies. Cognitive science, a cognitive model of the brain, knowledge representation, and information processing in the human brain are discussed, as is the theory of consciousness, neuroscience, intelligence, decision-making, mind and behavior analysis, and the various ways cognitive computing is used for information manipulation, processing and decision-making. Mathematical and computational models, structures and processes of the human brain are also covered, along with advances in machine learning, artificial intelligence, cognitive knowledge base, deep learning, cognitive image processing and suitable data analytics.

Handbook of Categorization in Cognitive Science

Handbook of Categorization in Cognitive Science
Author: Henri Cohen,Claire Lefebvre
Publsiher: Elsevier
Total Pages: 1276
Release: 2017-06-03
ISBN 10: 0128097663
ISBN 13: 9780128097663
Language: EN, FR, DE, ES & NL

Handbook of Categorization in Cognitive Science Book Review:

Handbook of Categorization in Cognitive Science, Second Edition presents the study of categories and the process of categorization as viewed through the lens of the founding disciplines of the cognitive sciences, and how the study of categorization has long been at the core of each of these disciplines. The literature on categorization reveals there is a plethora of definitions, theories, models and methods to apprehend this central object of study. The contributions in this handbook reflect this diversity. For example, the notion of category is not uniform across these contributions, and there are multiple definitions of the notion of concept. Furthermore, the study of category and categorization is approached differently within each discipline. For some authors, the categories themselves constitute the object of study, whereas for others, it is the process of categorization, and for others still, it is the technical manipulation of large chunks of information. Finally, yet another contrast has to do with the biological versus artificial nature of agents or categorizers. Defines notions of category and categorization Discusses the nature of categories: discrete, vague, or other Explores the modality effects on categories Bridges the category divide - calling attention to the bridges that have already been built, and avenues for further cross-fertilization between disciplines

Statistical and Process Models for Cognitive Neuroscience and Aging

Statistical and Process Models for Cognitive Neuroscience and Aging
Author: Michael J. Wenger,Christof Schuster
Publsiher: Psychology Press
Total Pages: 368
Release: 2012-10-12
ISBN 10: 1135603359
ISBN 13: 9781135603359
Language: EN, FR, DE, ES & NL

Statistical and Process Models for Cognitive Neuroscience and Aging Book Review:

Statistical and Process Models for Cognitive Neuroscience and Aging addresses methodological techniques for researching cognitive impairment, Alzheimer's disease, the biophysics and structure of the nervous system, the physiology of memory, and the analysis of EEG data. Each chapter, written by the expert in the area, provides a carefully crafted introduction to the subject at hand and the key methodological challenges facing that area of study. Although the chapters describe sophisticated techniques, each is accessible to scientists from a variety of fields. The editors' goal is to expose researchers working on a range of issues associated with cognitive aging to a variety of approaches and technologies, in an effort to cross disciplinary boundaries and further research in cognitive aging. Intended for researchers in cognitive, behavioral, and computational neuroscience, psychometrics, gerontology, cognitive, health, and developmental psychology, radiology, and medical research, this book also serves as a text for graduate level courses in cognitive science and cognitive aging.

Computational Neuroscience and Cognitive Modelling

Computational Neuroscience and Cognitive Modelling
Author: Britt Anderson
Publsiher: SAGE
Total Pages: 240
Release: 2014-01-08
ISBN 10: 1446297373
ISBN 13: 9781446297377
Language: EN, FR, DE, ES & NL

Computational Neuroscience and Cognitive Modelling Book Review:

"For the neuroscientist or psychologist who cringes at the sight of mathematical formulae and whose eyes glaze over at terms like differential equations, linear algebra, vectors, matrices, Bayes’ rule, and Boolean logic, this book just might be the therapy needed." - Anjan Chatterjee, Professor of Neurology, University of Pennsylvania "Anderson provides a gentle introduction to computational aspects of psychological science, managing to respect the reader’s intelligence while also being completely unintimidating. Using carefully-selected computational demonstrations, he guides students through a wide array of important approaches and tools, with little in the way of prerequisites...I recommend it with enthusiasm." - Asohan Amarasingham, The City University of New York This unique, self-contained and accessible textbook provides an introduction to computational modelling neuroscience accessible to readers with little or no background in computing or mathematics. Organized into thematic sections, the book spans from modelling integrate and firing neurons to playing the game Rock, Paper, Scissors in ACT-R. This non-technical guide shows how basic knowledge and modern computers can be combined for interesting simulations, progressing from early exercises utilizing spreadsheets, to simple programs in Python. Key Features include: Interleaved chapters that show how traditional computing constructs are simply disguised versions of the spread sheet methods. Mathematical facts and notation needed to understand the modelling methods are presented at their most basic and are interleaved with biographical and historical notes for contex. Numerous worked examples to demonstrate the themes and procedures of cognitive modelling. An excellent text for postgraduate students taking courses in research methods, computational neuroscience, computational modelling, cognitive science and neuroscience. It will be especially valuable to psychology students.

Computational Modeling in Cognition

Computational Modeling in Cognition
Author: Stephan Lewandowsky,Simon Farrell
Publsiher: SAGE Publications
Total Pages: 359
Release: 2010-11-29
ISBN 10: 1412970768
ISBN 13: 9781412970761
Language: EN, FR, DE, ES & NL

Computational Modeling in Cognition Book Review:

Key Features --

The Experimental Side of Modeling

The Experimental Side of Modeling
Author: Isabelle F. Peschard,Bas C. van Fraassen
Publsiher: U of Minnesota Press
Total Pages: 360
Release: 2018-10-02
ISBN 10: 1452957452
ISBN 13: 9781452957456
Language: EN, FR, DE, ES & NL

The Experimental Side of Modeling Book Review:

An innovative, multifaceted approach to scientific experiments as designed by and shaped through interaction with the modeling process The role of scientific modeling in mediation between theories and phenomena is a critical topic within the philosophy of science, touching on issues from climate modeling to synthetic models in biology, high energy particle physics, and cognitive sciences. Offering a radically new conception of the role of data in the scientific modeling process as well as a new awareness of the problematic aspects of data, this cutting-edge volume offers a multifaceted view on experiments as designed and shaped in interaction with the modeling process. Contributors address such issues as the construction of models in conjunction with scientific experimentation; the status of measurement and the function of experiment in the identification of relevant parameters; how the phenomena under study are reconceived when accounted for by a model; and the interplay between experimenting, modeling, and simulation when results do not mesh. Highlighting the mediating role of models and the model-dependence (as well as theory-dependence) of data measurement, this volume proposes a normative and conceptual innovation in scientific modeling—that the phenomena to be investigated and modeled must not be precisely identified at the start but specified during the course of the interactions arising between experimental and modeling activities. Contributors: Nancy D. Cartwright, U of California, San Diego; Anthony Chemero, U of Cincinnati; Ronald N. Giere, U of Minnesota; Jenann Ismael, U of Arizona; Tarja Knuuttila, U of South Carolina; Andrea Loettgers, U of Bern, Switzerland; Deborah Mayo, Virginia Tech; Joseph Rouse, Wesleyan U; Paul Teller, U of California, Davis; Michael Weisberg, U of Pennsylvania; Eric Winsberg, U of South Florida.

Mind as Machine

Mind as Machine
Author: Margaret Ann Boden
Publsiher: Unknown
Total Pages: 1631
Release: 2006
ISBN 10: 019954316X
ISBN 13: 9780199543168
Language: EN, FR, DE, ES & NL

Mind as Machine Book Review:

Modeling Human Behavior With Integrated Cognitive Architectures

Modeling Human Behavior With Integrated Cognitive Architectures
Author: Kevin A. Gluck,Richard W. Pew
Publsiher: Psychology Press
Total Pages: 272
Release: 2006-04-21
ISBN 10: 1135610495
ISBN 13: 9781135610494
Language: EN, FR, DE, ES & NL

Modeling Human Behavior With Integrated Cognitive Architectures Book Review:

Resulting from the need for greater realism in models of human and organizational behavior in military simulations, there has been increased interest in research on integrative models of human performance, both within the cognitive science community generally, and within the defense and aerospace industries in particular. This book documents accomplishments and lessons learned in a multi-year project to examine the ability of a range of integrated cognitive modeling architectures to explain and predict human behavior in a common task environment that requires multi-tasking and concept learning. This unique project, called the Agent-Based Modeling and Behavior Representation (AMBR) Model Comparison, involved a series of human performance model evaluations in which the processes and performance levels of computational cognitive models were compared to each other and to human operators performing the identical tasks. In addition to quantitative data comparing the performance of the models and real human performance, the book also presents a qualitatively oriented discussion of the practical and scientific considerations that arise in the course of attempting this kind of model development and validation effort. The primary audiences for this book are people in academia, industry, and the military who are interested in explaining and predicting complex human behavior using computational cognitive modeling approaches. The book should be of particular interest to individuals in any sector working in Psychology, Cognitive Science, Artificial Intelligence, Industrial Engineering, System Engineering, Human Factors, Ergonomics and Operations Research. Any technically or scientifically oriented professional or student should find the material fully accessible without extensive mathematical background.