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Titlebook: Multi-Hierarchical Representation of Large-Scale Space; Applications to Mobi Juan A. Fernández,Javier González Book 2001 Springer Science+B

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书目名称Multi-Hierarchical Representation of Large-Scale Space
副标题Applications to Mobi
编辑Juan A. Fernández,Javier González
视频video
丛书名称Intelligent Systems, Control and Automation: Science and Engineering
图书封面Titlebook: Multi-Hierarchical Representation of Large-Scale Space; Applications to Mobi Juan A. Fernández,Javier González Book 2001 Springer Science+B
描述It has been stated in psychology that human brain arranges information in a way that improves efficiency in performing common tasks, for example, information about our spatial environment is conveniently structured for efficient route finding. On the other hand, in computational sciences, the use of hierarchical information is well known for reducing the complexity of solving problems. This book studies hierarchical representations of large-scale space and presents a new model, called Multi-AH-graph, that uses multiple hierarchies of abstraction. It allows an agent to represent structural information acquired from the environment (elements such as objects, free space, etc., relations existing between them, such as proximity, similarity, etc. and other types of information, such as colors, shapes, etc). The Multi-AH-graph model extends a single hierarchy representation to a mUltiple hierarchy arrangement, which adapts better to a wider range of tasks, agents, and environments. We also present a system called CLAUDIA, which is an implementation of the task-driven paradigm for automatic construction of multiple abstractions: a set of hierarchies of abstraction will be "good" for an ag
出版日期Book 2001
关键词artificial intelligence; computer; computer science; graphs; intelligence; knowledge; mobile robot; robot; r
版次1
doihttps://doi.org/10.1007/978-94-015-9666-4
isbn_softcover978-90-481-5861-4
isbn_ebook978-94-015-9666-4Series ISSN 2213-8986 Series E-ISSN 2213-8994
issn_series 2213-8986
copyrightSpringer Science+Business Media Dordrecht 2001
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2213-8986 mple, information about our spatial environment is conveniently structured for efficient route finding. On the other hand, in computational sciences, the use of hierarchical information is well known for reducing the complexity of solving problems. This book studies hierarchical representations of l
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Book 2001rmation about our spatial environment is conveniently structured for efficient route finding. On the other hand, in computational sciences, the use of hierarchical information is well known for reducing the complexity of solving problems. This book studies hierarchical representations of large-scale
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Book 2001rchy arrangement, which adapts better to a wider range of tasks, agents, and environments. We also present a system called CLAUDIA, which is an implementation of the task-driven paradigm for automatic construction of multiple abstractions: a set of hierarchies of abstraction will be "good" for an ag
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