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Author: Johannes Bruder
Publisher: McGill-Queen's Press - MQUP
ISBN: 0773559701
Category : Science
Languages : en
Pages : 177
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Book Description
As the second decade of the twenty-first century draws to a close, the cultural, social, and economic effects of artificial intelligence are becoming ever more apparent. Despite their long-intertwined histories, the fields of neuroscience and artificial intelligence research are notoriously divided. In Cognitive Code Johannes Bruder argues that seemingly incompatible scales of intelligence – the brain and the planet – are now intimately linked through neuroscience-inspired AI and computational cognitive neuroscience. Building on ethnographic fieldwork in brain imaging labs in the United Kingdom and Switzerland, alongside analyses of historical and contemporary literature, Cognitive Code examines how contemporary research on the brain makes routine use of engineering epistemologies and practices. Bruder elaborates on how the question of mimicking human cognition and thought on the scale of computer chips and circuits has gradually evolved into a comprehensive restructuring of the world through "smart" infrastructures. The brain, traditionally treated as a discrete object that thinks, is becoming part of the larger thinking network we now know as "the Cloud." The author traces a recent shift in the goals of brain imaging to show that the introduction of novel statistical and computational techniques has upset traditional paradigms and disentangled cognition from its biological substrate. Investigating understandings of intelligence from the micro to the macro, Cognitive Code explains how the future of human psychology is increasingly determined by engineering and design.
Author: Johannes Bruder
Publisher: McGill-Queen's Press - MQUP
ISBN: 0773559701
Category : Science
Languages : en
Pages : 177
Get Book
Book Description
As the second decade of the twenty-first century draws to a close, the cultural, social, and economic effects of artificial intelligence are becoming ever more apparent. Despite their long-intertwined histories, the fields of neuroscience and artificial intelligence research are notoriously divided. In Cognitive Code Johannes Bruder argues that seemingly incompatible scales of intelligence – the brain and the planet – are now intimately linked through neuroscience-inspired AI and computational cognitive neuroscience. Building on ethnographic fieldwork in brain imaging labs in the United Kingdom and Switzerland, alongside analyses of historical and contemporary literature, Cognitive Code examines how contemporary research on the brain makes routine use of engineering epistemologies and practices. Bruder elaborates on how the question of mimicking human cognition and thought on the scale of computer chips and circuits has gradually evolved into a comprehensive restructuring of the world through "smart" infrastructures. The brain, traditionally treated as a discrete object that thinks, is becoming part of the larger thinking network we now know as "the Cloud." The author traces a recent shift in the goals of brain imaging to show that the introduction of novel statistical and computational techniques has upset traditional paradigms and disentangled cognition from its biological substrate. Investigating understandings of intelligence from the micro to the macro, Cognitive Code explains how the future of human psychology is increasingly determined by engineering and design.
Author: Wilma Bucci
Publisher: Guilford Press
ISBN: 9781572302136
Category : Psychology
Languages : en
Pages : 388
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Book Description
Although psychoanalytic concepts underlie most forms of psychotherapy practiced today, the basic Freudian theory of mind the metapsychology does not mesh with current scientific views in psychology and related fields. As a result, despite its many strengths, psychoanalysis has been relegated to the periphery by clinicians and researchers alike. Filling a significant void, this book from cognitive scientist and psychoanalytic researcher Wilma Bucci proposes a new model of psychological organization that integrates psychoanalytic theory with the investigation of mental processes. Solidly rooted in current cognitive science, multiple code theory recognizes the focus on meanings and motives that is intrinsic to psychoanalytic clinical work. The theory points to parallel functions underlying free association and dreams, as well as conceptual development in children and creative work in sciences and the arts, and provides a strong foundation for empirical research on the psychoanalytic treatment process.
Author: Norbert M. Seel
Publisher: Springer Science & Business Media
ISBN: 1441914277
Category : Education
Languages : en
Pages : 3643
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Book Description
Over the past century, educational psychologists and researchers have posited many theories to explain how individuals learn, i.e. how they acquire, organize and deploy knowledge and skills. The 20th century can be considered the century of psychology on learning and related fields of interest (such as motivation, cognition, metacognition etc.) and it is fascinating to see the various mainstreams of learning, remembered and forgotten over the 20th century and note that basic assumptions of early theories survived several paradigm shifts of psychology and epistemology. Beyond folk psychology and its naïve theories of learning, psychological learning theories can be grouped into some basic categories, such as behaviorist learning theories, connectionist learning theories, cognitive learning theories, constructivist learning theories, and social learning theories. Learning theories are not limited to psychology and related fields of interest but rather we can find the topic of learning in various disciplines, such as philosophy and epistemology, education, information science, biology, and – as a result of the emergence of computer technologies – especially also in the field of computer sciences and artificial intelligence. As a consequence, machine learning struck a chord in the 1980s and became an important field of the learning sciences in general. As the learning sciences became more specialized and complex, the various fields of interest were widely spread and separated from each other; as a consequence, even presently, there is no comprehensive overview of the sciences of learning or the central theoretical concepts and vocabulary on which researchers rely. The Encyclopedia of the Sciences of Learning provides an up-to-date, broad and authoritative coverage of the specific terms mostly used in the sciences of learning and its related fields, including relevant areas of instruction, pedagogy, cognitive sciences, and especially machine learning and knowledge engineering. This modern compendium will be an indispensable source of information for scientists, educators, engineers, and technical staff active in all fields of learning. More specifically, the Encyclopedia provides fast access to the most relevant theoretical terms provides up-to-date, broad and authoritative coverage of the most important theories within the various fields of the learning sciences and adjacent sciences and communication technologies; supplies clear and precise explanations of the theoretical terms, cross-references to related entries and up-to-date references to important research and publications. The Encyclopedia also contains biographical entries of individuals who have substantially contributed to the sciences of learning; the entries are written by a distinguished panel of researchers in the various fields of the learning sciences.
Author: Science Society Cognitive, Con
Publisher: Psychology Press
ISBN: 9780805814873
Category : Psychology
Languages : en
Pages : 1080
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Book Description
This volume features the complete text of all regular papers, posters, and summaries of symposia presented at the 15th annual meeting of the Cognitive Science Society.
Author: W. Estes
Publisher: Psychology Press
ISBN: 1317670337
Category : Psychology
Languages : en
Pages : 2214
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Book Description
Is it possible at present to identify a core cluster of theoretical ideas, concepts, and methods with which everyone working in the area of learning and cognition needs to be familiar? Would it be possible to make explicit the relationships that we feel do or must exist among the various subspecialties, ranging from conditioning through perceptual learning and memory to psycholinguistics, and to present these in a sufficiently organized way to help specialists and non-specialists alike in relating particular lines of research to the broader spectrum of activity? These questions were posed to a substantial number of investigators who were most active in developing the ideas and doing the research in the early 1970s. Originally published between 1975 and 1978, their response constitutes this 6-volume Handbook of Learning and Cognitive Processes. The volumes survey the research and theory on learning and cognitive processes that were rapidly developing at the time. The primary orientation was to concentrate on research and models aimed toward the development of general cognitive theory. They were up-to-date with regard to theoretical and technical developments, and sufficiently self-contained to be readable by anyone with a reasonable scientific background, regardless of their acquaintance with the technical jargon of particular specialties. Previously out of print, the Handbook is now available again, as a set or as individual volumes.
Author: Mike X Cohen
Publisher: MIT Press
ISBN: 0262035820
Category : Science
Languages : en
Pages : 572
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Book Description
An introduction to a popular programming language for neuroscience research, taking the reader from beginning to intermediate and advanced levels of MATLAB programming. MATLAB is one of the most popular programming languages for neuroscience and psychology research. Its balance of usability, visualization, and widespread use makes it one of the most powerful tools in a scientist's toolbox. In this book, Mike Cohen teaches brain scientists how to program in MATLAB, with a focus on applications most commonly used in neuroscience and psychology. Although most MATLAB tutorials will abandon users at the beginner's level, leaving them to sink or swim, MATLAB for Brain and Cognitive Scientists takes readers from beginning to intermediate and advanced levels of MATLAB programming, helping them gain real expertise in applications that they will use in their work. The book offers a mix of instructive text and rigorous explanations of MATLAB code along with programming tips and tricks. The goal is to teach the reader how to program data analyses in neuroscience and psychology. Readers will learn not only how to but also how not to program, with examples of bad code that they are invited to correct or improve. Chapters end with exercises that test and develop the skills taught in each chapter. Interviews with neuroscientists and cognitive scientists who have made significant contributions their field using MATLAB appear throughout the book. MATLAB for Brain and Cognitive Scientists is an essential resource for both students and instructors, in the classroom or for independent study.
Author: Dirk Geeraerts
Publisher: OUP USA
ISBN: 0195143787
Category : Language Arts & Disciplines
Languages : en
Pages : 1365
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Book Description
Part I: Basic Concepts (16 cap.) + Part II: Models of Grammar (3 cap.) + Part III: Situating Cognitive Linguistics (3 cap.) + Part IV: Linguistic Structure and Language Use (13 cap.) + Part V: Linguistic Variation and Change (7 cap.) + Part VI: Applied and Interdisciplinary Perspectives.
Author: Hidayet Tuncay
Publisher: Tuncay (Yayıncılık) Publishing
ISBN:
Category : Foreign Language Study
Languages : en
Pages : 276
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Book Description
The ELT & Linguistics Dictionary is a companion to the English language as a second / foreign language study. The Dictionary is more likely a reference/guide book for ELT professionals and students who have been taking up EFL/ESL courses at their graduate and post graduate education. So it is; Comprehensive: almost 2321 entries covering all integrated skills in English language training, linguistic terms closely related to ELT, EFL, ELL, ESL, ESOL, FLL, FLT, TEFL, TESL, & TESOL ; Informative: it provides bibliographies for most of the entries and a wide range of cross-referencing for more conceptual headwords; Referential: it gives a hand to the ELT professionals to understand the concepts more specifically used in ELT literature with the original definitions from the prolific writers in the ELT world.
Author: Benjamin Fraser
Publisher: University of Toronto Press
ISBN: 1487502338
Category : History
Languages : en
Pages : 289
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Book Description
Cognitive Disability Aesthetics explores the invisibility of cognitive disability in theoretical, historical, social, and cultural contexts. Benjamin Fraser's cutting edge research and analysis signals a second-wave in disability studies that prioritizes cognition. Fraser expands upon previous research into physical disability representations and focuses on those disabilities that tend to be least visible in society (autism, Down syndrome, Alzheimer's disease, schizophrenia). Moving beyond established literary approaches analyzing prose representations of disability, the book explores how iconic and indexical modes of signification operate in visual texts. Taking on cognitive disability representations in a range of visual media (painting, cinema, and graphic novels), Fraser showcases the value of returning to impairment discourse. Cognitive Disability Aesthetics successfully reconfigures disability studies in the humanities and exposes the chasm that exists between Anglophone disability studies and disability studies in the Hispanic world.
Author: Michael D. Lee
Publisher: Cambridge University Press
ISBN: 1107653916
Category : Psychology
Languages : en
Pages : 279
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Book Description
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.
