Neural Implementations Of Expertise
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Neural Implementations Of Expertise
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Author : Merim Bilalić
language : en
Publisher: Frontiers Media SA
Release Date : 2015-12-18
Neural Implementations Of Expertise written by Merim Bilalić and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-18 with Cognition categories.
When we think about expertise, we usually consider people who master tasks at a level not reachable by most other people. Although we rarely realise it, however, most humans are experts in many aspects of everyday life. This expertise enables us to find our way through a complex environment that is our life. For instance, we can instantly recognise multiple objects and relations between them to form a meaningful unit, such as an office. Thus, research on expertise is not only important to investigate the cognitive and neural processes within an “elite” group, but it is also a powerful tool to understand how everyone can acquire complex skills. The goal of this Research Topic is to shed further light on the common and distinct neural mechanisms that implement various kinds of expertise. We broadly define expertise as skill in any perceptual, cognitive, social or motor domain, with the common core being optimised information processing due to knowledge acquired from repeated experiences. Thus, we are interested in the full range of mental processes modulated or modified by expertise, from “simple” object or pattern recognition to complex decision making or problem solving in a particular domain. These domains can range from everyday or occupational expertise to sports and rather artificial domains such as board games. In all cases, the aim should be to elucidate how the brain implements these sometimes incredible feats. We are particularly interested in connecting cognitive theories about expertise and expertise-related performance differences with models and data on the neural implementation of expertise. We welcome original research contributions using the full range of behavioural neuroscience methods, as well as theoretical, methodological or historical reviews, and opinion papers focusing on any of the above-mentioned aspects.
Neural Networks For Knowledge Representation And Inference
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Author : Daniel S. Levine
language : en
Publisher: Psychology Press
Release Date : 2013-04-15
Neural Networks For Knowledge Representation And Inference written by Daniel S. Levine and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-15 with Psychology categories.
The second published collection based on a conference sponsored by the Metroplex Institute for Neural Dynamics -- the first is Motivation, Emotion, and Goal Direction in Neural Networks (LEA, 1992) -- this book addresses the controversy between symbolicist artificial intelligence and neural network theory. A particular issue is how well neural networks -- well established for statistical pattern matching -- can perform the higher cognitive functions that are more often associated with symbolic approaches. This controversy has a long history, but recently erupted with arguments against the abilities of renewed neural network developments. More broadly than other attempts, the diverse contributions presented here not only address the theory and implementation of artificial neural networks for higher cognitive functions, but also critique the history of assumed epistemologies -- both neural networks and AI -- and include several neurobiological studies of human cognition as a real system to guide the further development of artificial ones. Organized into four major sections, this volume: * outlines the history of the AI/neural network controversy, the strengths and weaknesses of both approaches, and shows the various capabilities such as generalization and discreetness as being along a broad but common continuum; * introduces several explicit, theoretical structures demonstrating the functional equivalences of neurocomputing with the staple objects of computer science and AI, such as sets and graphs; * shows variants on these types of networks that are applied in a variety of spheres, including reasoning from a geographic database, legal decision making, story comprehension, and performing arithmetic operations; * discusses knowledge representation process in living organisms, including evidence from experimental psychology, behavioral neurobiology, and electroencephalographic responses to sensory stimuli.
Design And Implementation Of Intelligent Manufacturing Systems
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Author : Mohammed Jamshidi
language : en
Publisher: Pearson Education
Release Date : 1995-05-24
Design And Implementation Of Intelligent Manufacturing Systems written by Mohammed Jamshidi and has been published by Pearson Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-05-24 with Technology & Engineering categories.
The introduction of artificial intelligence, neural networks, and fuzzy logic into industry has given a new perspective to manufacturing processes in the U.S. and abroad. To help readers keep pace, this book addresses topics of intelligent manufacturing from a variety of theoretical, empirical, design, and implementation perspectives.
Design And Development Of Expert Systems And Neural Networks
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Author : L. R. Medsker
language : en
Publisher: Prentice Hall
Release Date : 1994
Design And Development Of Expert Systems And Neural Networks written by L. R. Medsker and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Computers categories.
This book gives readers and practitioners the tools they need to develop appropriate applications and systems. It also explores managing and institutionalizing expert system development and usage.
Fpga Implementations Of Neural Networks
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Author : Amos R. Omondi
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-10-04
Fpga Implementations Of Neural Networks written by Amos R. Omondi and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-10-04 with Technology & Engineering categories.
During the 1980s and early 1990s there was signi?cant work in the design and implementation of hardware neurocomputers. Nevertheless, most of these efforts may be judged to have been unsuccessful: at no time have have ha- ware neurocomputers been in wide use. This lack of success may be largely attributed to the fact that earlier work was almost entirely aimed at developing custom neurocomputers, based on ASIC technology, but for such niche - eas this technology was never suf?ciently developed or competitive enough to justify large-scale adoption. On the other hand, gate-arrays of the period m- tioned were never large enough nor fast enough for serious arti?cial-neur- network (ANN) applications. But technology has now improved: the capacity and performance of current FPGAs are such that they present a much more realistic alternative. Consequently neurocomputers based on FPGAs are now a much more practical proposition than they have been in the past. This book summarizes some work towards this goal and consists of 12 papers that were selected, after review, from a number of submissions. The book is nominally divided into three parts: Chapters 1 through 4 deal with foundational issues; Chapters 5 through 11 deal with a variety of implementations; and Chapter 12 looks at the lessons learned from a large-scale project and also reconsiders design issues in light of current and future technology.
The Science Of Expertise
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Author : David Z. Hambrick
language : en
Publisher: Routledge
Release Date : 2017-09-22
The Science Of Expertise written by David Z. Hambrick and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-22 with Psychology categories.
Offering the broadest review of psychological perspectives on human expertise to date, this volume covers behavioral, computational, neural, and genetic approaches to understanding complex skill. The chapters show how performance in music, the arts, sports, games, medicine, and other domains reflects basic traits such as personality and intelligence, as well as knowledge and skills acquired through training. In doing so, this book moves the field of expertise beyond the duality of "nature vs. nurture" toward an integrative understanding of complex skill. This book is an invaluable resource for researchers and students interested in expertise, and for professionals seeking current reviews of psychological research on expertise.
The Neuroscience Of Expertise
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Author : Merim Bilalić
language : en
Publisher: Cambridge University Press
Release Date : 2017-02-16
The Neuroscience Of Expertise written by Merim Bilalić and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-02-16 with Psychology categories.
The book examines the ways in which the brain accommodates the incredible feats of experts.
Hybrid Neural Network And Expert Systems
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Author : Larry R. Medsker
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Hybrid Neural Network And Expert Systems written by Larry R. Medsker and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
Hybrid Neural Network and Expert Systems presents the basics of expert systems and neural networks, and the important characteristics relevant to the integration of these two technologies. Through case studies of actual working systems, the author demonstrates the use of these hybrid systems in practical situations. Guidelines and models are described to help those who want to develop their own hybrid systems. Neural networks and expert systems together represent two major aspects of human intelligence and therefore are appropriate for integration. Neural networks represent the visual, pattern-recognition types of intelligence, while expert systems represent the logical, reasoning processes. Together, these technologies allow applications to be developed that are more powerful than when each technique is used individually. Hybrid Neural Network and Expert Systems provides frameworks for understanding how the combination of neural networks and expert systems can produce useful hybrid systems, and illustrates the issues and opportunities in this dynamic field.
Neural Networks
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Author :
language : en
Publisher:
Release Date : 1991
Neural Networks written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Neural networks (Computer science) categories.
The basic idea behind this series of books is to combine expertise and experience of contributing authors from a number of different scientific disciplines.
Time Space Spiking Neural Networks And Brain Inspired Artificial Intelligence
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Author : Nikola K. Kasabov
language : en
Publisher: Springer
Release Date : 2018-08-29
Time Space Spiking Neural Networks And Brain Inspired Artificial Intelligence written by Nikola K. Kasabov and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-29 with Technology & Engineering categories.
Spiking neural networks (SNN) are biologically inspired computational models that represent and process information internally as trains of spikes. This monograph book presents the classical theory and applications of SNN, including original author’s contribution to the area. The book introduces for the first time not only deep learning and deep knowledge representation in the human brain and in brain-inspired SNN, but takes that further to develop new types of AI systems, called in the book brain-inspired AI (BI-AI). BI-AI systems are illustrated on: cognitive brain data, including EEG, fMRI and DTI; audio-visual data; brain-computer interfaces; personalized modelling in bio-neuroinformatics; multisensory streaming data modelling in finance, environment and ecology; data compression; neuromorphic hardware implementation. Future directions, such as the integration of multiple modalities, such as quantum-, molecular- and brain information processing, is presented in the last chapter. The book is a research book for postgraduate students, researchers and practitioners across wider areas, including computer and information sciences, engineering, applied mathematics, bio- and neurosciences.