Principles of Noology: Toward a Theory and Science of Intelligence - Couverture rigide
Livre 3 sur 10: Socio-Affective Computing
Synopsis
The idea of this book is to establish a new scientific discipline, "noology," under which a set of fundamental principles are proposed for the characterization of both naturally occurring and artificial intelligent systems.
The methodology adopted in Principles of Noology for the characterization of intelligent systems, or "noological systems," is a computational one, much like that of AI. Many AI devices such as predicate logic representations, search mechanisms, heuristics, and computational learning mechanisms are employed but they are recast in a totally new framework for the characterization of noological systems. The computational approach in this book provides a quantitative and high resolution understanding of noological processes, and at the same time the principles and methodologies formulated are directly implementable in AI systems.
In contrast to traditional AI that ignores motivational and affective processes, under the paradigm of noology, motivational and affective processes are central to the functioning of noological systems and their roles in noological processes are elucidated in detailed computational terms. In addition, a number of novel representational and learning mechanisms are proposed, and ample examples and computer simulations are provided to show their applications. These include rapid effective causal learning (a novel learning mechanism that allows an AI/noological system to learn causality with a small number of training instances), learning of scripts that enables knowledge chunking and rapid problem solving, and learning of heuristics that further accelerates problem solving. Semantic grounding allows an AI/noological system to "truly understand" the meaning of the knowledge it encodes. This issue is extensively explored.
This is a highly informative book providing novel and deep insights into intelligent systems which is particularly relevant to both researchers and students of AI and the cognitive sciences.
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Principles of Noology. Toward a Theory and Science of Intelligence.
Edité par
Switzerland, Springer., 2016
ISBN 10 : 3319321110
ISBN 13 : 9783319321110
Ancien ou d'occasion
Couverture rigide
Vendeur : Universitätsbuchhandlung Herta Hold GmbH, Berlin, Allemagne
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XIX, 431 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Socio-Affective Computing. Vol. 3. Sprache: Englisch. N° de réf. du vendeur 955KB
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Principles of Noology (eng)
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Principles of Noology
Edité par
Springer International Publishing Jul 2016, 2016
ISBN 10 : 3319321110
ISBN 13 : 9783319321110
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The idea of this book is to establish a new scientific discipline, 'noology,' under which a set of fundamental principles are proposed for the characterization of both naturally occurring and artificial intelligent systems. The methodology adopted in Principles of Noology for the characterization of intelligent systems, or 'noological systems,' is a computational one, much like that of AI. Many AI devices such as predicate logic representations, search mechanisms, heuristics, and computational learning mechanisms are employed but they are recast in a totally new framework for the characterization of noological systems. The computational approach in this book provides a quantitative and high resolution understanding of noological processes, and at the same time the principles and methodologies formulated are directly implementable in AI systems.In contrast to traditional AI that ignores motivational and affective processes, under the paradigm of noology, motivational and affective processes are central to the functioning of noological systems and their roles in noological processes are elucidated in detailed computational terms. In addition, a number of novel representational and learning mechanisms are proposed, and ample examples and computer simulations are provided to show their applications. These include rapid effective causal learning (a novel learning mechanism that allows an AI/noological system to learn causality with a small number of training instances), learning of scripts that enables knowledge chunking and rapid problem solving, and learning of heuristics that further accelerates problem solving. Semantic grounding allows an AI/noological system to 'truly understand' the meaning of the knowledge it encodes. This issue is extensively explored.This is a highly informative book providing novel and deep insights into intelligent systems which is particularly relevant to both researchers and students of AI and the cognitive sciences. 452 pp. Englisch. N° de réf. du vendeur 9783319321110
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Principles of Noology
Edité par
Springer International Publishing, 2016
ISBN 10 : 3319321110
ISBN 13 : 9783319321110
Neuf
Couverture rigide
Vendeur : moluna, Greven, Allemagne
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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides novel and deep insights into intelligent systemsContains supplementary material which demonstrates examples and processesOffers the opportunity to learn techniques and methodologiesBrings readers quantitative and high resolu. N° de réf. du vendeur 118772748
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Principles of Noology (Hardcover)
Edité par
Springer International Publishing AG, Cham, 2016
ISBN 10 : 3319321110
ISBN 13 : 9783319321110
Neuf
Couverture rigide
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Hardcover. Etat : new. Hardcover. The idea of this book is to establish a new scientific discipline, noology, under which a set of fundamental principles are proposed for the characterization of both naturally occurring and artificial intelligent systems. The methodology adopted in Principles of Noology for the characterization of intelligent systems, or noological systems, is a computational one, much like that of AI. Many AI devices such as predicate logic representations, search mechanisms, heuristics, and computational learning mechanisms are employed but they are recast in a totally new framework for the characterization of noological systems. The computational approach in this book provides a quantitative and high resolution understanding of noological processes, and at the same time the principles and methodologies formulated are directly implementable in AI systems.In contrast to traditional AI that ignores motivational and affective processes, under the paradigm of noology,motivational and affective processes are central to the functioning of noological systems and their roles in noological processes are elucidated in detailed computational terms. In addition, a number of novel representational and learning mechanisms are proposed, and ample examples and computer simulations are provided to show their applications. These include rapid effective causal learning (a novel learning mechanism that allows an AI/noological system to learn causality with a small number of training instances), learning of scripts that enables knowledge chunking and rapid problem solving, and learning of heuristics that further accelerates problem solving. Semantic grounding allows an AI/noological system to truly understand the meaning of the knowledge it encodes. This issue is extensively explored.This is a highly informative book providing novel and deep insights into intelligent systems which is particularly relevant to both researchers and students of AI and the cognitive sciences. These include rapid effective causal learning (a novel learning mechanism that allows an AI/noological system to learn causality with a small number of training instances), learning of scripts that enables knowledge chunking and rapid problem solving, and learning of heuristics that further accelerates problem solving. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9783319321110
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Principles of Noology
ISBN 10 : 3319321110
ISBN 13 : 9783319321110
Neuf
Couverture rigide
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The idea of this book is to establish a new scientific discipline, ¿noology,¿ under which a set of fundamental principles are proposed for the characterization of both naturally occurring and artificial intelligent systems.The methodology adopted in Principles of Noology for the characterization of intelligent systems, or ¿noological systems,¿ is a computational one, much like that of AI. Many AI devices such as predicate logic representations, search mechanisms, heuristics, and computational learning mechanisms are employed but they are recast in a totally new framework for the characterization of noological systems. The computational approach in this book provides a quantitative and high resolution understanding of noological processes, and at the same time the principles and methodologies formulated are directly implementable in AI systems.In contrast to traditional AI that ignores motivational and affective processes, under the paradigm of noology,motivational and affective processes are central to the functioning of noological systems and their roles in noological processes are elucidated in detailed computational terms. In addition, a number of novel representational and learning mechanisms are proposed, and ample examples and computer simulations are provided to show their applications. These include rapid effective causal learning (a novel learning mechanism that allows an AI/noological system to learn causality with a small number of training instances), learning of scripts that enables knowledge chunking and rapid problem solving, and learning of heuristics that further accelerates problem solving. Semantic grounding allows an AI/noological system to ¿truly understand¿ the meaning of the knowledge it encodes. This issue is extensively explored.This is a highly informative book providing novel and deep insights into intelligent systems which is particularly relevant to both researchers and students of AI and the cognitive sciences.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 452 pp. Englisch. N° de réf. du vendeur 9783319321110
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Principles of Noology: Toward a Theory and Science of Intelligence: 3 (Socio-Affective Computing)
Vendeur : Books Puddle, New York, NY, Etats-Unis
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Etat : New. 1st ed. 2016 edition NO-PA16APR2015-KAP. N° de réf. du vendeur 26378437128
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Principles of Noology : Toward a Theory and Science of Intelligence
Edité par
Springer International Publishing, 2016
ISBN 10 : 3319321110
ISBN 13 : 9783319321110
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - The idea of this book is to establish a new scientific discipline, 'noology,' under which a set of fundamental principles are proposed for the characterization of both naturally occurring and artificial intelligent systems. The methodology adopted in Principles of Noology for the characterization of intelligent systems, or 'noological systems,' is a computational one, much like that of AI. Many AI devices such as predicate logic representations, search mechanisms, heuristics, and computational learning mechanisms are employed but they are recast in a totally new framework for the characterization of noological systems. The computational approach in this book provides a quantitative and high resolution understanding of noological processes, and at the same time the principles and methodologies formulated are directly implementable in AI systems.In contrast to traditional AI that ignores motivational and affective processes, under the paradigm of noology,motivational and affective processes are central to the functioning of noological systems and their roles in noological processes are elucidated in detailed computational terms. In addition, a number of novel representational and learning mechanisms are proposed, and ample examples and computer simulations are provided to show their applications. These include rapid effective causal learning (a novel learning mechanism that allows an AI/noological system to learn causality with a small number of training instances), learning of scripts that enables knowledge chunking and rapid problem solving, and learning of heuristics that further accelerates problem solving. Semantic grounding allows an AI/noological system to 'truly understand' the meaning of the knowledge it encodes. This issue is extensively explored.This is a highly informative book providing novel and deep insights into intelligent systems which is particularly relevant to both researchers and students of AI and the cognitive sciences. N° de réf. du vendeur 9783319321110
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Principles of Noology: Toward a Theory and Science of Intelligence: 3 (Socio-Affective Computing)
impression à la demandeVendeur : Majestic Books, Hounslow, Royaume-Uni
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Principles of Noology: Toward a Theory and Science of Intelligence: 3 (Socio-Affective Computing)
impression à la demandeVendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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