Representing Knowledge of Large-Scale Space
Item
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Title
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en_US
Representing Knowledge of Large-Scale Space
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Creator
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en_US
Kuipers, Benjamin J.
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Date
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2004-10-20T20:07:56Z
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Date Available
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2004-10-20T20:07:56Z
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Date Issued
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en_US
1977-07-01
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Identifier
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en_US
AITR-418
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Abstract
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en_US
This dissertation presents a model of the knowledge a person has about the spatial structure of a large-scale environment: the "cognitive map". The functions of the cognitive map are to assimilate new information about the environment, to represent the current position, and to answer route-finding and relative-position problems. This model (called the TOUR model) analyzes the cognitive map in terms of symbolic descriptions of the environment and operations on those descriptions. Knowledge about a particular environment is represented in terms of route descriptions, a topological network of paths and places, multiple frames of reference for relative positions, dividing boundaries, and a structure of containing regions. The current position is described by the "You Are Here" pointer, which acts as a working memory and a focus of attention. Operations on the cognitive map are performed by inference rules which act to transfer information among different descriptions and the "You Are Here" pointer. The TOUR model shows how the particular descriptions chosen to represent spatial knowledge support assimilation of new information from local observations into the cognitive map, and how the cognitive map solves route-finding and relative-position problems. A central theme of this research is that the states of partial knowledge supported by a representation are responsible for its ability to function with limited information of computational resources. The representations in the TOUR model provide a rich collection of states of partial knowledge, and therefore exhibit flexible, "common-sense" behavior.
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Extent
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12684779 bytes
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9974380 bytes
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Format
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application/postscript
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application/pdf
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Language
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en_US
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Relation
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en_US
AITR-418