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Multi-Hierarchical Representation of Large-Scale Space: Applications to Mobile Robots (Intelligent Systems, Control and Automation: Science and Engineering, 24, Band 24) - Hardcover

Buch 23 von 56: Intelligent Systems, Control and Automation: Science and Engineering

Fernández, Juan A.; González, Javier

 
9781402001055: Multi-Hierarchical Representation of Large-Scale Space: Applications to Mobile Robots (Intelligent Systems, Control and Automation: Science and Engineering, 24, Band 24)
Hardcover
ISBN 10: 1402001053 ISBN 13: 9781402001055
Verlag: Springer, 2001

Inhaltsangabe

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 agent if it can reduce the cost of planning and performing certain tasks of the agent in the agent's world. CLAUDIA constructs multiple hierarchies (Multi-AH-graphs) for a given triple , trying to optimize their "goodness".

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Verlag
Springer
Erscheinungsdatum
2001
Sprache
Englisch
ISBN 10 
1402001053
ISBN 13 
9781402001055
Einband
Gebundene Ausgabe
Anzahl der Seiten
296
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