Abstraction Refinement for Large Scale Model Checking, Chao Wang; Gary D. Hachtel; Fabio Somenzi

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: Seiter
Название: Automatic Methods for the Refinement of System Models
ISBN: 3319414798 ISBN-13(EAN): 9783319414799
Издательство: Springer
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Цена: 7685.00 р.
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Описание: This book provides a comprehensive overview of automatic model refinement, which helps readers close the gap between initial textual specification and its desired implementation. The authors enable readers to follow two “directions” for refinement: Vertical refinement, for adding detail and precision to single description for a given model and Horizontal refinement, which considers several views on one level of abstraction, refining the system specification by dedicated descriptions for structure or behavior. The discussion includes several methods which support designers of electronic systems in this refinement process, including verification methods to check automatically whether a refinement has been conducted as intended.