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EUR 31,24
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Sprache: Englisch
Verlag: Partridge Singapore 2016-09, 2016
ISBN 10: 1482879727 ISBN 13: 9781482879728
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Anbieter: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Deutschland
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.
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Sprache: Englisch
Verlag: Partridge Publishing Singapore, 2023
ISBN 10: 1543774512 ISBN 13: 9781543774511
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Sprache: Englisch
Verlag: Partridge Publishing Singapore, 2020
ISBN 10: 1543759165 ISBN 13: 9781543759167
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 54,46
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In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: Partridge Publishing Singapore 2020-07, 2020
ISBN 10: 1543759165 ISBN 13: 9781543759167
Anbieter: Chiron Media, Wallingford, Vereinigtes Königreich
EUR 50,95
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In den WarenkorbPF. Zustand: New.
Sprache: Englisch
Verlag: Partridge Publishing Singapore, 2018
ISBN 10: 154374527X ISBN 13: 9781543745276
Anbieter: PBShop.store US, Wood Dale, IL, USA
PAP. Zustand: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Sprache: Englisch
Verlag: Partridge Publishing Singapore, 2020
ISBN 10: 1543759165 ISBN 13: 9781543759167
Anbieter: Buchpark, Trebbin, Deutschland
Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 454 | Sprache: Englisch | Produktart: Bücher | Mindfulness is a black-and-white comic book that allows the readers to travel to the wonderful world of mindfulness in its original flavour. It is aimed to provide a simple, down-to-earth description of the various aspects of mindfulness and its practical application in daily life, using narrated comics. As long as we remember to slow down, breathe, and come back to the present moment, life in all its splendour will unfold magically in front of us, right here, right now!
Sprache: Englisch
Verlag: Partridge Singapore (28 Sept. 2016), 2016
ISBN 10: 1482879735 ISBN 13: 9781482879735
Anbieter: Rarewaves.com UK, London, Vereinigtes Königreich
EUR 48,55
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In den WarenkorbHardback. Zustand: New.
Sprache: Englisch
Verlag: Partridge Publishing Singapore, 2018
ISBN 10: 154374527X ISBN 13: 9781543745276
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EUR 20,12
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In den WarenkorbPAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Sprache: Englisch
Verlag: Springer International Publishing AG, Cham, 2016
ISBN 10: 3319321110 ISBN 13: 9783319321110
Anbieter: Grand Eagle Retail, Bensenville, IL, USA
Hardcover. Zustand: 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.
Zustand: New. 1st ed. 2016 edition NO-PA16APR2015-KAP.
Sprache: Englisch
Verlag: Springer International Publishing, 2018
ISBN 10: 3319812009 ISBN 13: 9783319812007
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: 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.
Sprache: Englisch
Verlag: Springer International Publishing, 2016
ISBN 10: 3319321110 ISBN 13: 9783319321110
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: 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.