Abstraction, Reformulation, and Approximation, Berthe Y. Choueiry; Toby Walsh

Автор: Lorenza Saitta; Jean-Daniel Zucker
Название: Abstraction in Artificial Intelligence and Complex Systems
ISBN: 146147051X ISBN-13(EAN): 9781461470519
Издательство: Springer
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Цена: 13974.00 р.
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Описание: Abstraction is a fundamental mechanism underlying both human and artificial perception, representation of knowledge, reasoning and learning. This model makes the notion of abstraction easily applicable by means of the introduction of a set of abstraction operators and abstraction patterns, reusable across different domains and applications.

Автор: Lutz Frommberger
Название: Qualitative Spatial Abstraction in Reinforcement Learning
ISBN: 3642266002 ISBN-13(EAN): 9783642266003
Издательство: Springer
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Цена: 16070.00 р.
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Описание: Reinforcement learning has evolved to tackle domains that are yet to be fully understood, or are too complex for a closed description. In this book the author investigates whether suitable abstraction methods can overcome the discipline`s deficiencies.

Автор: Cipriano Galindo; Juan-Antonio Fern?ndez-Madrigal;
Название: Multiple Abstraction Hierarchies for Mobile Robot Operation in Large Environments
ISBN: 364209175X ISBN-13(EAN): 9783642091759
Издательство: Springer
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Цена: 20263.00 р.
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Описание: A Robotic Future.- Multi-Hierarchical, Symbolic Representation of the Environment.- Application of Hierarchical Models to Mobile Robot Task Planning.- Mobile Robot Operation with Multi-Hierarchies.- Automatic Learning of Hierarchical Models.- Implementation and Experiences on a Real Robot.

Автор: Lorenza Saitta; Jean-Daniel Zucker
Название: Abstraction in Artificial Intelligence and Complex Systems
ISBN: 1489988742 ISBN-13(EAN): 9781489988744
Издательство: Springer
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Цена: 18167.00 р.
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Описание: Abstraction is a fundamental mechanism underlying both human and artificial perception, representation of knowledge, reasoning and learning. This model makes the notion of abstraction easily applicable by means of the introduction of a set of abstraction operators and abstraction patterns, reusable across different domains and applications.