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.".

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.

The Routledge Companion to Thought Experiments

The Routledge Companion to Thought Experiments
Author: Michael T Stuart,Yiftach Fehige,James Robert Brown
Publsiher: Routledge
Total Pages: 568
Release: 2017-07-20
ISBN 10: 1351705512
ISBN 13: 9781351705516
Language: EN, FR, DE, ES & NL

The Routledge Companion to Thought Experiments Book Review:

Thought experiments are a means of imaginative reasoning that lie at the heart of philosophy, from the pre-Socratics to the modern era, and they also play central roles in a range of fields, from physics to politics. The Routledge Companion to Thought Experiments is an invaluable guide and reference source to this multifaceted subject. Comprising over 30 chapters by a team of international contributors, the Companion covers the following important areas: · the history of thought experiments, from antiquity to the trolley problem and quantum non-locality; · thought experiments in the humanities, arts, and sciences, including ethics, physics, theology, biology, mathematics, economics, and politics; · theories about the nature of thought experiments; · new discussions concerning the impact of experimental philosophy, cross-cultural comparison studies, metaphilosophy, computer simulations, idealization, dialectics, cognitive science, the artistic nature of thought experiments, and metaphysical issues. This broad ranging Companion goes backwards through history and sideways across disciplines. It also engages with philosophical perspectives from empiricism, rationalism, naturalism, skepticism, pluralism, contextualism, and neo-Kantianism to phenomenology. This volume will be valuable for anyone studying the methods of philosophy or any discipline that employs thought experiments, as well as anyone interested in the power and limits of the mind.

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.

Stevens Handbook of Experimental Psychology and Cognitive Neuroscience Methodology

Stevens  Handbook of Experimental Psychology and Cognitive Neuroscience  Methodology
Author: Anonim
Publsiher: John Wiley & Sons
Total Pages: 848
Release: 2018-02-12
ISBN 10: 111917015X
ISBN 13: 9781119170150
Language: EN, FR, DE, ES & NL

Stevens Handbook of Experimental Psychology and Cognitive Neuroscience Methodology Book Review:

V. Methodology: E. J. Wagenmakers (Volume Editor) Topics covered include methods and models in categorization; cultural consensus theory; network models for clinical psychology; response time modeling; analyzing neural time series data; models and methods for reinforcement learning; convergent methods of memory research; theories for discriminating signal from noise; bayesian cognitive modeling; mathematical modeling in cognition and cognitive neuroscience; the stop-signal paradigm; hypothesis testing and statistical inference; model comparison in psychology; fmri; neural recordings; open science; neural networks and neurocomputational modeling; serial versus parallel processing; methods in psychophysics.

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/

Cognitive Modeling in Perception and Memory

Cognitive Modeling in Perception and Memory
Author: J G W Raaijmakers,Robert Goldstone,Mark Steyvers,Amy Criss,Robert Nosofsky
Publsiher: Psychology Press
Total Pages: 292
Release: 2015-02-11
ISBN 10: 1134629257
ISBN 13: 9781134629251
Language: EN, FR, DE, ES & NL

Cognitive Modeling in Perception and Memory Book Review:

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.

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.

Cognitive Science

Cognitive Science
Author: Jay Friedenberg,Gordon Silverman,Michael J. Spivey
Publsiher: SAGE Publications
Total Pages: 568
Release: 2021-10-05
ISBN 10: 1544380178
ISBN 13: 9781544380179
Language: EN, FR, DE, ES & NL

Cognitive Science Book Review:

Cognitive Science provides a comprehensive and up-to-date introduction to the study of the mind. The authors examine the mind from the perspective of different fields, including philosophy, psychology, neuroscience, networks, evolution, emotional and social cognition, linguistics, artificial intelligence, robotics, and the new framework of embodied cognition. Each chapter focuses on a particular disciplinary approach and explores methodologies, theories, and empirical findings. Substantially updated with new and expanded content, the Fourth Edition reflects the latest research in this rapidly evolving field.

Analysis of Cognitive Models in Constraint Handling Rules

Analysis of Cognitive Models in Constraint Handling Rules
Author: Daniel Gall
Publsiher: BoD – Books on Demand
Total Pages: 270
Release: 2021-10-11
ISBN 10: 3754396781
ISBN 13: 9783754396780
Language: EN, FR, DE, ES & NL

Analysis of Cognitive Models in Constraint Handling Rules Book Review:

Computational cognitive modeling explores cognition by building computational models for cognitive processes, mechanisms and representations. Currently, implementations of cognitive models lack a formal foundation. This inhibits analysis. In this thesis, the cognitive architecture Adaptive Control of Thought - Rational (ACT-R) is formalized and embedded into the rule-based programming language Constraint Handling Rules (CHR). The powerful analytical methods of CHR, particularly confluence analysis, are extended by reasoning modulo equivalence relations. The results are applied to the domain of cognitive modeling.

Computational Modeling of Cognition and Behavior

Computational Modeling of Cognition and Behavior
Author: Simon Farrell,Stephan Lewandowsky
Publsiher: Cambridge University Press
Total Pages: 482
Release: 2018-02-22
ISBN 10: 9781107525610
ISBN 13: 1107525616
Language: EN, FR, DE, ES & NL

Computational Modeling of Cognition and Behavior Book Review:

Computational modeling is now ubiquitous in psychology, and researchers who are not modelers may find it increasingly difficult to follow the theoretical developments in their field. This book presents an integrated framework for the development and application of 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. Both the development of models and key features of any model are covered, as are the applications of models in a variety of domains across the behavioural sciences. A number of chapters are devoted to fitting models using maximum likelihood and Bayesian estimation, including fitting hierarchical and mixture models. Model comparison is described as a core philosophy of scientific inference, and the use of models to understand theories and advance scientific discourse is explained.

Cognitive Informatics Computer Modelling and Cognitive Science

Cognitive Informatics  Computer Modelling  and Cognitive Science
Author: G. R. Sinha,Jasjit S. Suri
Publsiher: Academic Press
Total Pages: 410
Release: 2020-04-07
ISBN 10: 0128194448
ISBN 13: 9780128194447
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. Identifies how foundational theories and concepts in cognitive science are applicable in other fields Includes a comprehensive review of cognitive science applications in multiple domains, applying it to neural engineering, robotics, computer science and STEM Includes models of brain processing, consciousness, decision-making, and more Provides in-depth technical coverage of cognitive informatics and computing, including coverage of cognitive knowledge base, information theory, cognitive machine learning and intelligence

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.

Computational Cognitive Modeling and Linguistic Theory

Computational Cognitive Modeling and Linguistic Theory
Author: Adrian Brasoveanu,Jakub Dotlačil
Publsiher: Springer
Total Pages: 294
Release: 2020-06-01
ISBN 10: 9783030318444
ISBN 13: 3030318443
Language: EN, FR, DE, ES & NL

Computational Cognitive Modeling and Linguistic Theory Book Review:

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.

Stevens Handbook of Experimental Psychology and Cognitive Neuroscience Language and Thought

Stevens  Handbook of Experimental Psychology and Cognitive Neuroscience  Language and Thought
Author: John T. Wixted
Publsiher: John Wiley & Sons
Total Pages: 672
Release: 2018-03-13
ISBN 10: 1119170699
ISBN 13: 9781119170693
Language: EN, FR, DE, ES & NL

Stevens Handbook of Experimental Psychology and Cognitive Neuroscience Language and Thought Book Review:

III. Language & Thought: Sharon Thompson-Schill (Volume Editor) (Topics covered include embodied cognition; discourse and dialogue; reading; creativity; speech production; concepts and categorization; culture and cognition; reasoning; sentence processing; bilingualism; speech perception; spatial cognition; word processing; semantic memory; moral reasoning.)

Integrated Models of Cognitive Systems

Integrated Models of Cognitive Systems
Author: Wayne D. Gray
Publsiher: Oxford University Press
Total Pages: 544
Release: 2007-04-19
ISBN 10: 019029339X
ISBN 13: 9780190293390
Language: EN, FR, DE, ES & NL

Integrated Models of Cognitive Systems Book Review:

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

Big Data in Cognitive Science

Big Data in Cognitive Science
Author: Michael N. Jones
Publsiher: Psychology Press
Total Pages: 374
Release: 2016-11-03
ISBN 10: 1315413558
ISBN 13: 9781315413556
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.

Computational Modeling in Cognition

Computational Modeling in Cognition
Author: Stephan Lewandowsky,Simon Farrell
Publsiher: SAGE
Total Pages: 376
Release: 2010-11-29
ISBN 10: 1452236194
ISBN 13: 9781452236193
Language: EN, FR, DE, ES & NL

Computational Modeling in Cognition Book Review:

An accessible introduction to the principles of computational and mathematical modeling in psychology and cognitive science This practical and readable work provides students and researchers, who are new to cognitive modeling, with the background and core knowledge they need to interpret published reports, and develop and apply models of their own. The book is structured to help readers understand the logic of individual component techniques and their relationships to each other.

Cognitive Informatics Computer Modelling and Cognitive Science

Cognitive Informatics  Computer Modelling  and Cognitive Science
Author: G. R. Sinha,Jasjit S. Suri
Publsiher: Academic Press
Total Pages: 408
Release: 2020-04-08
ISBN 10: 0128194464
ISBN 13: 9780128194461
Language: EN, FR, DE, ES & NL

Cognitive Informatics Computer Modelling and Cognitive Science Book Review:

Cognitive Informatics, Computer Modelling, and Cognitive Science: Volume Two, Application to Neural Engineering, Robotics, and STEM presents the practical, real-world applications of Cognitive Science to help readers understand how it can help them in their research, engineering and academic pursuits. The book is presented in two volumes, covering Introduction and Theoretical Background, Philosophical and Psychological Theory, and Cognitive Informatics and Computing. Volume Two includes Statistics for Cognitive Science, Cognitive Applications and STEM Case Studies. Other sections cover Cognitive Informatics, Computer Modeling and Cognitive Science: Application to Neural Engineering, Robotics, and STEM. The book's authors discuss the current status of research in the field of Cognitive Science, including cognitive language processing that paves the ways for developing numerous tools for helping physically challenged persons, and more. Identifies how foundational theories and concepts in cognitive science are applicable in other fields Includes a comprehensive review of cognitive science applications in multiple domains, applying it to neural engineering, robotics, computer science and STEM Presents basic statistics and cognitive maps, testing strategies of hypothesis, maximum likelihood estimator, Bayesian statistics, and discrete probability models of neural computation Contains in-depth technical coverage of cognitive applications and case studies, including neuro-computing, brain modeling, cognitive ability and cognitive robots