Foundations Of The Theory Of Learning Systems
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Foundations Of The Theory Of Learning Systems
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Author : Jakov Zalmanovic Cypkin
language : en
Publisher:
Release Date : 1973
Foundations Of The Theory Of Learning Systems written by Jakov Zalmanovic Cypkin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1973 with categories.
Foundations Of The Theory Of Learning Systems
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Author : Ja. Z. Cypkin
language : en
Publisher:
Release Date : 1973
Foundations Of The Theory Of Learning Systems written by Ja. Z. Cypkin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1973 with categories.
Foundations Of The Theory Of Learning Systems
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Author : Ya. Z. Tsypkin
language : en
Publisher:
Release Date : 1973
Foundations Of The Theory Of Learning Systems written by Ya. Z. Tsypkin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1973 with Self-organizing systems categories.
Foundations Of The Theory Of Learning Systems
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Author : Tsypkin
language : en
Publisher: Academic Press
Release Date : 1973-10-19
Foundations Of The Theory Of Learning Systems written by Tsypkin and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1973-10-19 with Computers categories.
Foundations of the Theory of Learning Systems
Foundations Of The Theory Od Learning Systems
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Author : Z. J Nikolic
language : en
Publisher:
Release Date : 1973
Foundations Of The Theory Od Learning Systems written by Z. J Nikolic and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1973 with categories.
Foundations Of Neural Networks Fuzzy Systems And Knowledge Engineering
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Author : Nikola K. Kasabov
language : en
Publisher: Marcel Alencar
Release Date : 1996
Foundations Of Neural Networks Fuzzy Systems And Knowledge Engineering written by Nikola K. Kasabov and has been published by Marcel Alencar this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Computers categories.
Combines the study of neural networks and fuzzy systems with symbolic artificial intelligence (AI) methods to build comprehensive AI systems. Describes major AI problems (pattern recognition, speech recognition, prediction, decision-making, game-playing) and provides illustrative examples. Includes applications in engineering, business and finance.
Foundations Of The Theory Of Learning Systems By Ya Z Tsypkin
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Author : IAkov Zalmanovich TSypkin
language : en
Publisher:
Release Date : 1973
Foundations Of The Theory Of Learning Systems By Ya Z Tsypkin written by IAkov Zalmanovich TSypkin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1973 with Self-organizing systems categories.
Encyclopedia Of The Sciences Of Learning
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Author : Norbert M. Seel
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-10-05
Encyclopedia Of The Sciences Of Learning written by Norbert M. Seel 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 2011-10-05 with Education categories.
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.
Artificial General Intelligence
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Author : Kristinn R. Thórisson
language : en
Publisher: Springer Nature
Release Date : 2024-07-16
Artificial General Intelligence written by Kristinn R. Thórisson and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-16 with Computers categories.
This book constitutes the refereed proceedings of the 17th International Conference on Artificial General Intelligence, AGI 2024, held in Seattle, Washington, USA in August 2024. The 25 papers presented in this book were carefully reviewed and selected from 55 submissions. The papers focus on the main theme of AGI 2024: 'Understanding Artificial General Intelligence', with discussions on various central concepts of general intelligence including thought, understanding, meaning, creativity, insight, reasoning, autonomy, attention and control.
Foundations Of Genetic Algorithms 1991 Foga 1
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Author : Gregory J.E. Rawlins
language : en
Publisher: Elsevier
Release Date : 2014-06-28
Foundations Of Genetic Algorithms 1991 Foga 1 written by Gregory J.E. Rawlins and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-28 with Mathematics categories.
Foundations of Genetic Algorithms 1991 (FOGA 1) discusses the theoretical foundations of genetic algorithms (GA) and classifier systems. This book compiles research papers on selection and convergence, coding and representation, problem hardness, deception, classifier system design, variation and recombination, parallelization, and population divergence. Other topics include the non-uniform Walsh-schema transform; spurious correlations and premature convergence in genetic algorithms; and variable default hierarchy separation in a classifier system. The grammar-based genetic algorithm; conditions for implicit parallelism; and analysis of multi-point crossover are also elaborated. This text likewise covers the genetic algorithms for real parameter optimization and isomorphisms of genetic algorithms. This publication is a good reference for students and researchers interested in genetic algorithms.