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.".

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.

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.

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.

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: 1134835736
ISBN 13: 9781134835737
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/

Bayesian Cognitive Modeling

Bayesian Cognitive Modeling
Author: Michael D. Lee,Eric-Jan Wagenmakers
Publsiher: Cambridge University Press
Total Pages: 280
Release: 2014-04-03
ISBN 10: 1107018455
ISBN 13: 9781107018457
Language: EN, FR, DE, ES & NL

Bayesian Cognitive Modeling Book Review:

Using a practical, hands-on approach, this book will teach anyone how to carry out Bayesian analyses and interpret the results.

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 --

Handbook of Cognitive Science

Handbook of Cognitive Science
Author: Paco Calvo,Toni Gomila
Publsiher: Elsevier
Total Pages: 476
Release: 2008
ISBN 10: 0080466168
ISBN 13: 9780080466163
Language: EN, FR, DE, ES & NL

Handbook of Cognitive Science Book Review:

The Handbook of Cognitive Science provides an overview of recent developments in cognition research, relying upon non-classical approaches. Cognition is explained as the continuous interplay between brain, body, and environment, without relying on classical notions of computations and representation to explain cognition. The handbook serves as a valuable companion for readers interested in foundational aspects of cognitive science, and neuroscience and the philosophy of mind. The handbook begins with an introduction to embodied cognitive science, and then breaks up the chapters into separate sections on conceptual issues, formal approaches, embodiment in perception and action, embodiment from an artificial perspective, embodied meaning, and emotion and consciousness. Contributors to the book represent research overviews from around the globe including the US, UK, Spain, Germany, Switzerland, France, Sweden, and the Netherlands.

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

Cognitive Science

Cognitive Science
Author: Jay Friedenberg,Gordon Silverman
Publsiher: SAGE
Total Pages: 531
Release: 2006
ISBN 10: 9781412925686
ISBN 13: 1412925681
Language: EN, FR, DE, ES & NL

Cognitive Science Book Review:

This landmark text introduces the novice reader to what great thinkers think about thought. Unlike most texts, authors Jay Friedenberg and Gordon Silverman use a theoretical, rather than empirical, approach to examine the most important theories of mind from a variety of disciplinary perspectives. While experiments are discussed, they are used primarily to illustrate the specific characteristics of a model.

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.

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 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.

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.

Connectionist Models in Cognitive Neuroscience

Connectionist Models in Cognitive Neuroscience
Author: Dietmar Heinke,Glyn W. Humphreys,Andrew Olson
Publsiher: Springer Science & Business Media
Total Pages: 299
Release: 2012-12-06
ISBN 10: 1447108132
ISBN 13: 9781447108139
Language: EN, FR, DE, ES & NL

Connectionist Models in Cognitive Neuroscience Book Review:

1. Introdudion This volume collects together the refereed versions of 25 papers presented at the 5th Neural Computation and Psychology Workshop (NCPW5), held at the University of Birmingham from the 8th until the lOth of September 1998. The NCPW is a well-established, lively forum, which brings together researchers from a range of disciplines (artificial intelligence, mathematics, cognitive science, computer science, neurobiology, philosophy and psychology), all of whom are interested in the application of neurally-inspired (connectionist) models to topics in psychology. The theme of the 5th workshop in the series was Connectionist models in cognitive neuroscience', and the workshop aimed to bring together papers focused on the inter-relations between functional (psychological) accounts of cognition and neural accounts of underlying brain processes, linked by connectionist models. From the very beginnings of modern psychology, with the work of William James and his contemporaries, researchers have believed it important to relate behavioural analyses to neurological underpinnings. However, with the advent of connectionist modelling, where models are at least inspired by neuronal processes, this enterprise has received a new boost. With this volume, we hope that this volume adds one further mosaic stone to this ambitious objective, of unifying functional and neuronal accounts of performance.

Mind as Machine

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

Mind as Machine Book Review:

Towards a New Cognitive Neuroscience Modeling Natural Brain Dynamics

Towards a New Cognitive Neuroscience  Modeling Natural Brain Dynamics
Author: Klaus Gramann,Tzyy-Ping Jung,Daniel P. Ferris,Chin-Teng Lin,Scott Makeig
Publsiher: Frontiers E-books
Total Pages: 166
Release: 2014-10-03
ISBN 10: 2889192717
ISBN 13: 9782889192717
Language: EN, FR, DE, ES & NL

Towards a New Cognitive Neuroscience Modeling Natural Brain Dynamics Book Review:

Decades of brain imaging experiments have revealed important insights into the architecture of the human brain and the detailed anatomic basis for the neural dynamics supporting human cognition. However, technical restrictions of traditional brain imaging approaches including functional magnetic resonance tomography (fMRI), positron emission tomography (PET), and magnetoencephalography (MEG) severely limit participants’ movements during experiments. As a consequence, our knowledge of the neural basis of human cognition is rooted in a dissociation of human cognition from what is arguably its foremost, and certainly its evolutionarily most determinant function, organizing our behavior so as to optimize its consequences in our complex, multi-scale, and ever-changing environment. The concept of natural cognition, therefore, should not be separated from our fundamental experience and role as embodied agents acting in a complex, partly unpredictable world. To gain new insights into the brain dynamics supporting natural cognition, we must overcome restrictions of traditional brain imaging technology. First, the sensors used must be lightweight and mobile to allow monitoring of brain activity during free participant movements. New hardware technology for electroencephalography (EEG) and near infrared spectroscopy (NIRS) allows recording electrical and hemodynamic brain activity while participants are freely moving. New data-driven analysis approaches must allow separation of signals arriving at the sensors from the brain and from non-brain sources (neck muscles, eyes, heart, the electrical environment, etc.). Independent component analysis (ICA) and related blind source separation methods allow separation of brain activity from non-brain activity from data recorded during experimental paradigms that stimulate natural cognition. Imaging the precisely timed, distributed brain dynamics that support all forms of our motivated actions and interactions in both laboratory and real-world settings requires new modes of data capture and of data processing. Synchronously recording participants’ motor behavior, brain activity, and other physiology, as well as their physical environment and external events may be termed mobile brain/body imaging ('MoBI'). Joint multi-stream analysis of recorded MoBI data is a major conceptual, mathematical, and data processing challenge. This Research Topic is one result of the first international MoBI meeting in Delmenhorst Germany in September 2013. During an intense workshop researchers from all over the world presented their projects and discussed new technological developments and challenges of this new imaging approach. Several of the presentations are compiled in this Research Topic that we hope may inspire new research using the MoBI paradigm to investigate natural cognition by recording and analyzing the brain dynamics and behavior of participants performing a wide range of naturally motivated actions and interactions.