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Author : Thad A. Polk
Publisher : MIT Press
ISBN 13 : 9780262661164
Total Pages : 1300 pages
Book Rating : 4.6/5 (611 download)
Download or read book Cognitive Modeling written by Thad A. Polk and published by MIT Press. This book was released on 2002 with total page 1300 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive introduction to the computational modeling of human cognition.
Author : Jerome R. Busemeyer
Publisher : SAGE
ISBN 13 : 0761924507
Total Pages : 225 pages
Book Rating : 4.7/5 (619 download)
Download or read book Cognitive Modeling written by Jerome R. Busemeyer and published by SAGE. This book was released on 2010 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: Responding to an explosion of new mathematical and computational models used in the fields of cognitive science, this book provides simple tutorials concerning the development and testing of such models. The authors focus on a few key models, with a primary goal of equipping readers with the fundamental principles, methods, and tools necessary for evaluating and testing any type of model encountered in the field of cognitive science.
Author : Ronald N. Giere
Publisher : U of Minnesota Press
ISBN 13 : 9780816619795
Total Pages : 548 pages
Book Rating : 4.6/5 (197 download)
Download or read book Cognitive Models of Science written by Ronald N. Giere and published by U of Minnesota Press. This book was released on 1992 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.".
Author : Paul Thagard
Publisher : MIT Press (MA)
ISBN 13 : 9780262017282
Total Pages : 0 pages
Book Rating : 4.0/5 (172 download)
Download or read book The Cognitive Science of Science written by Paul Thagard and published by MIT Press (MA). This book was released on 2012 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Thagard examines scientific development from the interdisciplinary perspective of cognitive science. Cognitive science combines insights from: philosophers analyze historical cases, psychologists carry out behavioral experiments, neuroscientists perform brain scans, and computer modelers write programs that simulate thought processes.
Author : Don Ross
Publisher : MIT Press
ISBN 13 : 9780262182461
Total Pages : 466 pages
Book Rating : 4.1/5 (824 download)
Download or read book Economic Theory and Cognitive Science written by Don Ross and published by MIT Press. This book was released on 2005 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: A hilariously funny cookbook–cum–how–I–did–it memoir by the chef/restaurateur who created New York's dazzling Ápizz restaurant. At the age of thirty–seven, John LaFemina left a lucrative career as a jeweler to become a chef. Instead of going back to school, or getting on–the–job training, he did it the hard way: he bought the restaurant and then taught himself to cook. Today he owns two of New York's great Italian restaurants–Ápizz and Peasant–and is one of the city's most–talked–about chefs, earning rave reviews from fans and critics. In this gorgeous cookbook, he not only shares scores of recipes, but describes his life as a Canarsie boy learning about meatballs and macaroni in his mother's kitchen–and reveals how he drew on a lifetime of Italian cooking, and his own hard work and exquisite taste to create his dream restaurant from scratch. LaFemina takes us step–by–step through the process of finding the perfect location (and figuring out how many meatballs you have to sell to pay the rent), designing a restaurant, procuring all the necessary permits and licenses, and creating the menu. And this is just the first part of running a restaurant. He shares his experiences in dealing with the public and the press, unexpected disasters, and finally, basking in the glory of a popular restaurant. Along with his inspiring story, John LaFemina also shares 100 mouthwatering recipes, including: Lasagna with Braised Wild Boar Mushroom Risotto Veal, Beef, and Pork Meatballs with Ricotta Filling Open Ravioli with Roasted Butternut Squash Creamsicle Panna Cotta Chocolate Banana Bread Pudding
Author : Myint Swe Khine
Publisher : Springer Science & Business Media
ISBN 13 : 9400704496
Total Pages : 289 pages
Book Rating : 4.4/5 (7 download)
Download or read book Models and Modeling written by Myint Swe Khine and published by Springer Science & Business Media. This book was released on 2011-03-01 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: The process of developing models, known as modeling, allows scientists to visualize difficult concepts, explain complex phenomena and clarify intricate theories. In recent years, science educators have greatly increased their use of modeling in teaching, especially real-time dynamic modeling, which is central to a scientific investigation. Modeling in science teaching is being used in an array of fields, everything from primary sciences to tertiary chemistry to college physics, and it is sure to play an increasing role in the future of education. Models and Modeling: Cognitive Tools for Scientific Enquiry is a comprehensive introduction to the use of models and modeling in science education. It identifies and describes many different modeling tools and presents recent applications of modeling as a cognitive tool for scientific enquiry.
Author : Tom Verguts
Publisher : MIT Press
ISBN 13 : 0262045362
Total Pages : 265 pages
Book Rating : 4.2/5 (62 download)
Download or read book Introduction to Modeling Cognitive Processes written by Tom Verguts and published by MIT Press. This book was released on 2022-02-01 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to computational modeling for cognitive neuroscientists, covering both foundational work and recent developments. Cognitive neuroscientists need sophisticated conceptual tools to make sense of their field’s proliferation of novel theories, methods, and data. Computational modeling is such a tool, enabling researchers to turn theories into precise formulations. This book offers a mathematically gentle and theoretically unified introduction to modeling cognitive processes. Theoretical exercises of varying degrees of difficulty throughout help readers develop their modeling skills. After a general introduction to cognitive modeling and optimization, the book covers models of decision making; supervised learning algorithms, including Hebbian learning, delta rule, and backpropagation; the statistical model analysis methods of model parameter estimation and model evaluation; the three recent cognitive modeling approaches of reinforcement learning, unsupervised learning, and Bayesian models; and models of social interaction. All mathematical concepts are introduced gradually, with no background in advanced topics required. Hints and solutions for exercises and a glossary follow the main text. All code in the book is Python, with the Spyder editor in the Anaconda environment. A GitHub repository with Python files enables readers to access the computer code used and start programming themselves. The book is suitable as an introduction to modeling cognitive processes for students across a range of disciplines and as a reference for researchers interested in a broad overview.
Author : Lawrence M. Ward
Publisher : MIT Press
ISBN 13 : 9780262232173
Total Pages : 386 pages
Book Rating : 4.2/5 (321 download)
Download or read book Dynamical Cognitive Science written by Lawrence M. Ward and published by MIT Press. This book was released on 2002 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to the application of dynamical systems science to the cognitive sciences. Dynamical Cognitive Science makes available to the cognitive science community the analytical tools and techniques of dynamical systems science, adding the variables of change and time to the study of human cognition. The unifying theme is that human behavior is an "unfolding in time" whose study should be augmented by the application of time-sensitive tools from disciplines such as physics, mathematics, and economics, where change over time is of central importance. The book provides a fast-paced, comprehensive introduction to the application of dynamical systems science to the cognitive sciences. Topics include linear and nonlinear time series analysis, chaos theory, complexity theory, relaxation oscillators, and metatheoretical issues of modeling and theory building. Tools and techniques are discussed in the context of their application to basic cognitive science problems, including perception, memory, psychophysics, judgment and decision making, and consciousness. The final chapter summarizes the contemporary study of consciousness and suggests how dynamical approaches to cognitive science can help to advance our understanding of this central concept.
Author : Ralf Engbert
Publisher : Springer Nature
ISBN 13 : 3030672999
Total Pages : 158 pages
Book Rating : 4.0/5 (36 download)
Download or read book Dynamical Models In Neurocognitive Psychology written by Ralf Engbert and published by Springer Nature. This book was released on 2021-03-02 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt: The development of cognitive models is a key step in the challenging research program to advance our understanding of human cognition and behavior. Dynamical models represent a general and flexible approach to cognitive modeling. This introduction focuses on applications of stochastic processes and dynamical systems to model cognition. The dynamical approach is particularly useful to emphasize the strong link between experimental research (and its paradigms), data analysis, and mathematical models including their computer implementation for numerical simulation. Most of specific examples are from the domain of eye movement research, with concepts being applicable to a broad range of problems in cognitive modeling. The textbook aims at the graduate and/or advanced undergraduate level for students in Cognitive Science and related disciplines such as Psychology and Computer Science. Joint introduction of the theory of cognitive processes and mathematical models, their underlying mathematical concepts, numerical simulation, and analysis; The focus on eye movements provide a theoretically coherent, but very general application area; Computer code in R Programming Language for Statistical Computing is available for all examples, figures, and solutions to exercises.
Author : Michael D. Lee
Publisher : Cambridge University Press
ISBN 13 : 1107653916
Total Pages : 279 pages
Book Rating : 4.1/5 (76 download)
Download or read book Bayesian Cognitive Modeling written by Michael D. Lee and published by Cambridge University Press. This book was released on 2014-04-03 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Ángel Nepomuceno-Fernández
Publisher : Springer Nature
ISBN 13 : 3030327221
Total Pages : 502 pages
Book Rating : 4.0/5 (33 download)
Download or read book Model-Based Reasoning in Science and Technology written by Ángel Nepomuceno-Fernández and published by Springer Nature. This book was released on 2019-10-24 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses how scientific and other types of cognition make use of models, abduction, and explanatory reasoning in order to produce important and innovative changes in theories and concepts. Gathering revised contributions presented at the international conference on Model-Based Reasoning (MBR18), held on October 24–26 2018 in Seville, Spain, the book is divided into three main parts. The first focuses on models, reasoning, and representation. It highlights key theoretical concepts from an applied perspective, and addresses issues concerning information visualization, experimental methods, and design. The second part goes a step further, examining abduction, problem solving, and reasoning. The respective papers assess different types of reasoning, and discuss various concepts of inference and creativity and their relationship with experimental data. In turn, the third part reports on a number of epistemological and technological issues. By analyzing possible contradictions in modern research and describing representative case studies, this part is intended to foster new discussions and stimulate new ideas. All in all, the book provides researchers and graduate students in the fields of applied philosophy, epistemology, cognitive science, and artificial intelligence alike with an authoritative snapshot of the latest theories and applications of model-based reasoning.
Author : Lorenzo Magnani
Publisher : Springer
ISBN 13 : 3319389831
Total Pages : 674 pages
Book Rating : 4.3/5 (193 download)
Download or read book Model-Based Reasoning in Science and Technology written by Lorenzo Magnani and published by Springer. This book was released on 2016-07-01 with total page 674 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Zheng Joyce Wang
Publisher : MIT Press
ISBN 13 : 0262361655
Total Pages : 305 pages
Book Rating : 4.2/5 (623 download)
Download or read book Cognitive Choice Modeling written by Zheng Joyce Wang and published by MIT Press. This book was released on 2021-03-09 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: The emerging interdisciplinary field of cognitive choice models integrates theory and recent research findings from both decision process and choice behavior. Cognitive decision processes provide the interface between the environment and brain, enabling choice behavior, and the basic cognitive mechanisms underlying decision processes are fundamental to all fields of human activity. Yet cognitive processes and choice processes are often studied separately, whether by decision theorists, consumer researchers, or social scientists. In Cognitive Choice Modeling, Zheng Joyce Wang and Jerome R. Busemeyer introduce a new cognitive modeling approach to the study of human choice behavior. Integrating recent research findings from both cognitive science and choice behavior, they lay the groundwork for the emerging interdisciplinary field of cognitive choice modeling.
Author : Majid Davoody Beni
Publisher : Springer
ISBN 13 : 3030051145
Total Pages : 188 pages
Book Rating : 4.0/5 (3 download)
Download or read book Cognitive Structural Realism written by Majid Davoody Beni and published by Springer. This book was released on 2019-01-29 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, the author develops a new form of structural realism and deals with the problem of representation. The work combines two distinguished developments of the Semantic View of Theories, namely Structural Realism (SR), a flourishing theory from contemporary philosophy of science, and Ronald Giere and colleagues’ Cognitive Models of Science approach (CMSA). Readers will see how replacing the model-theoretic structures that are at issue in SR with connectionist networks and activations patterns (which are the formal tools of computational neuroscience) helps us to deal with the problem of representation. The author suggests that cognitive structures are not only the precise formal tools for regimenting the structure of scientific theories but also the tools that the biological brain uses to capture the essential features (i.e., structures) of its environment. Therefore, replacing model-theoretic structures with cognitive structures allows us to account for the theories-reality relationship on the basis of the most reliable theories of neurology. This is how a new form of SR, called Cognitive Structural Realism (CSR) is introduced through this book, which articulates and defends CSR, and shows how two diverging branches of SVT can be reconciled. This ground-breaking work will particularly appeal to people who work in the philosophy of science, philosophy of mind and cognitive sciences.
Author : Jonathan A. Waskan
Publisher : MIT Press
ISBN 13 : 0262293226
Total Pages : 341 pages
Book Rating : 4.2/5 (622 download)
Download or read book Models and Cognition written by Jonathan A. Waskan and published by MIT Press. This book was released on 2012-01-13 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: A groundbreaking argument challenging the traditional linguistic representational model of cognition proposes that representational states should be conceptualized as the cognitive equivalent of scale models. In this groundbreaking book, Jonathan Waskan challenges cognitive science's dominant model of mental representation and proposes a novel, well-devised alternative. The traditional view in the cognitive sciences uses a linguistic (propositional) model of mental representation. This logic-based model of cognition informs and constrains both the classical tradition of artificial intelligence and modeling in the connectionist tradition. It falls short, however, when confronted by the frame problem—the lack of a principled way to determine which features of a representation must be updated when new information becomes available. Proposed alternatives, including the imagistic model, have not so far resolved this problem. Waskan proposes instead the Intrinsic Cognitive Models (ICM) hypothesis, which argues that representational states can be conceptualized as the cognitive equivalent of scale models. Waskan argues further that the proposal that humans harbor and manipulate these cognitive counterparts to scale models offers the only viable explanation for what most clearly differentiates humans from other creatures: their capacity to engage in truth-preserving manipulation of representations.
Author : Stefan G. Hofmann
Publisher : Academic Press
ISBN 13 : 0128034580
Total Pages : 630 pages
Book Rating : 4.1/5 (28 download)
Download or read book The Science of Cognitive Behavioral Therapy written by Stefan G. Hofmann and published by Academic Press. This book was released on 2017-06-01 with total page 630 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Science of Cognitive Behavioral Therapy describes the scientific approach of CBT, reviews the efficacy and validity of the CBT model, and exemplifies important differences and commonalities of CBT approaches. The overarching principle of CBT interventions is that cognitions causally influence emotional experiences and behaviors. The book reviews recent mediation studies, experimental studies, and neuroimaging studies in affective neuroscience that support the basic model of CBT, as well as those that clarify the mechanisms of treatment change. Additionally, the book explains the interplay of cognition and emotion in CBT, specifies the treatment goals of CBT, discusses the relationship of cognitive models with medical models and associated diagnostic systems, and provides concrete illustrations of important general and disorder-specific considerations of CBT. Investigates the scientific foundation of CBT Explores the interplay of emotion and cognition in CBT Reviews neuroscience studies on the mechanisms of change in CBT Identifies similarities and differences in CBT approaches for different disorders Discusses CBT extensions and modifications Describes computer assisted applications of CBT
Author : David A. Clak
Publisher : John Wiley & Sons
ISBN 13 : 9780471189701
Total Pages : 518 pages
Book Rating : 4.1/5 (897 download)
Download or read book Scientific Foundations of Cognitive Theory and Therapy of Depression written by David A. Clak and published by John Wiley & Sons. This book was released on 1999-04-30 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on decades of theory, research, and practice, this seminalbook presents a detailed and comprehensive review, evaluation, andintegration of the scientific and empirical research relevant toAaron T. Beck's cognitive theory and therapy of depression. Sinceits emergence in the early 1960s, Beck's cognitive perspective hasbecome one of the most influential and well-researchedpsychological theories of depression. Over 900 scientific andscholarly references are contained in the present volume, providingthe most current and exhaustive evaluation of the scientific statusof the cognitive theory of depression. Though the application of cognitive therapy has been welldocumented in the publication of treatment manuals, the cognitivetheory of depression has not been presented in a unified manneruntil the publication of this book. Coauthored by the father ofcognitive therapy, Scientific Foundations of Cognitive Theory andTherapy of Depression offers the most complete and authoritativeaccount of Beck's theory of depression since the publication ofDepression: Causes and Treatment in 1967. Through its elaborationof recent theoretical developments in cognitive theory and itsreview of contemporary cognitive-clinical research, the bookrepresents the current state of the art in cognitive approaches todepression. As a result of its critical examination ofcognitive-clinical research and experimental informationprocessing, the authors offer many insights into the futuredirection for research on the cognitive basis of depression. The first half of the book focuses on a presentation of theclinical phenomena of depression and the current version ofcognitive theory. After outlining important questions that havebeen raised with the diagnosis of depression, the book then tracesthe historical development of Beck's cognitive theory and therapythrough the 1960s and '70s. It presents the theoretical assumptionsof the model and offers a detailed account of the most currentversion of the cognitive formulation of depression. The second half of the book provides an in-depth analysis of theempirical status of the descriptive and vulnerability hypotheses ofthe cognitive model. Drawing on over three decades of research, thebook delves into the scientific basis of numerous hypothesesderived from cognitive theory, including negativity, exclusivity,content specificity, primacy, universality, severity/persistence,selective processing, schema activation, primal processing,stability, diathesis-stress, symptom specificity, and differentialtreatment responsiveness. "In 1967 the first detailed description of the cognitive theory ofdepression was published in Depression: Causes and Treatment by oneof us, Aaron T. Beck. The basic concepts of the theory laid out inthat volume still provide the foundation for the cognitive model 30years later. As well the first systematic investigations of thetheory described in the 1967 volume contributed to a paradigmaticshift in theory, research, and treatment of depression thatresulted in a very vigorous and widespread research initiative onthe cognitive basis of depression. The present book is intended toprovide a comprehensive and critical update of the developments incognitive theory and research on depression that have occurredsince the initial publication in the 1960s."--David A. Clark, fromthe Preface.
