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Author: Johannes Bruder
Publisher: McGill-Queen's Press - MQUP
ISBN: 0773559701
Category : Science
Languages : en
Pages : 189
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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 : 189
Get Book Here
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: James Peterson
Publisher: Springer
ISBN: 9812878807
Category : Technology & Engineering
Languages : en
Pages : 546
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Book Description
This book shows cognitive scientists in training how mathematics, computer science and science can be usefully and seamlessly intertwined. It is a follow-up to the first two volumes on mathematics for cognitive scientists, and includes the mathematics and computational tools needed to understand how to compute the terms in the Fourier series expansions that solve the cable equation. The latter is derived from first principles by going back to cellular biology and the relevant biophysics. A detailed discussion of ion movement through cellular membranes, and an explanation of how the equations that govern such ion movement leading to the standard transient cable equation are included. There are also solutions for the cable model using separation of variables, as well an explanation of why Fourier series converge and a description of the implementation of MatLab tools to compute the solutions. Finally, the standard Hodgkin - Huxley model is developed for an excitable neuron and is solved using MatLab.
Author: Michael Byram
Publisher: Psychology Press
ISBN: 9780415332866
Category : Foreign Language Study
Languages : en
Pages : 748
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Book Description
This handbook deals with all aspects of contemporary language teaching and its history. Produced for language teaching professionals, it is also useful as a reference work for academic studies at postgraduate level.
Author: Jack C. Richards
Publisher: Cambridge University Press
ISBN: 9780521008433
Category : Foreign Language Study
Languages : en
Pages : 288
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Book Description
In addition to the approaches and methods covered in the first edition, this edition includes new chapters, such as whole language, multiple intelligences, neurolinguistic programming, competency-based language teaching, co-operative language learning, content-based instruction, task-based language teaching, and The Post-Methods Era.
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.
Author: Stephen Hage
Publisher: Stephen Hage
ISBN: 1424129559
Category : Fiction
Languages : en
Pages : 517
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Book Description
Author: Martina Penke
Publisher: John Benjamins Publishing
ISBN: 9789027222374
Category : Language Arts & Disciplines
Languages : en
Pages : 312
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Book Description
What counts as evidence in linguistics? This question is addressed by the contributions to the present volume (originally published as a Special Issue of Studies in Language 28:3 (2004). Focusing on the innateness debate, what is illustrated is how formal and functional approaches to linguistics have different perspectives on linguistic evidence. While special emphasis is paid to the status of typological evidence and universals for the construction of Universal Grammar (UG), this volume also highlights more general issues such as the roles of (non)-standard language and historical evidence. To address the overall topic, the following three guiding questions are raised: What type of evidence can be used for innateness claims (or UG)?; What is the content of such innate features (or UG)?; and, How can UG be used as a theory guiding empirical research? A combination of articles and peer commentaries yields a lively discussion between leading representatives of formal and functional approaches.
Author: Jerzy Brzeziński
Publisher: BRILL
ISBN: 9004457070
Category : Philosophy
Languages : en
Pages : 240
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Book Description
