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(Ebook) Cognitive Informatics, Computer Modelling, and Cognitive Science: Application to Neural Engineering, Robotics, and Stem: Volume 2: Application to Neural Engineering, Robotics, and STEM by Ganesh R. Sinha, Jasjit S. Suri ISBN 9780128194454, 0128194456

  • SKU: EBN-11023836
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Instant download (eBook) Cognitive Informatics, Computer Modelling, and Cognitive Science: Application to Neural Engineering, Robotics, and Stem: Volume 2: Application to Neural Engineering, Robotics, and STEM after payment.
Authors:Ganesh R. Sinha, Jasjit S. Suri
Pages:420 pages.
Year:2020
Editon:1
Publisher:Academic Pr
Language:english
File Size:20.09 MB
Format:pdf
ISBNS:9780128194454, 0128194456
Categories: Ebooks

Product desciption

(Ebook) Cognitive Informatics, Computer Modelling, and Cognitive Science: Application to Neural Engineering, Robotics, and Stem: Volume 2: Application to Neural Engineering, Robotics, and STEM by Ganesh R. Sinha, Jasjit S. Suri ISBN 9780128194454, 0128194456

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 fieldsIncludes a comprehensive review of cognitive science applications in multiple domains, applying it to neural engineering, robotics, computer science and STEMPresents basic statistics and cognitive maps, testing strategies of hypothesis, maximum likelihood estimator, Bayesian statistics, and discrete probability models of neural computationContains in-depth technical coverage of cognitive applications and case studies, including neuro-computing, brain modeling, cognitive ability and cognitive robots
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