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＜電子ブック＞
Qualitative Representation of Spatial Knowledge / by Daniel Hernandez
(Lecture Notes in Artificial Intelligence. ISSN:29459141 ; 804)

版	1st ed. 1994.
出版者	(Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer)
出版年	1994
本文言語	英語
大きさ	XII, 208 p : online resource
著者標目	*Hernandez, Daniel author SpringerLink (Online service)
件　名	LCSH:Computer simulation LCSH:Artificial intelligence LCSH:Computer-aided engineering LCSH:Geographic information systems FREE:Computer Modelling FREE:Artificial Intelligence FREE:Computer-Aided Engineering (CAD, CAE) and Design FREE:Geographical Information System
一般注記	Qualitativeness -- A cognitive perspective on knowledge representation -- Qualitative representation of positions in 2-D -- Reasoning with qualitative representations -- Applications -- Extensions of the basic model -- Relevant related work -- Conclusion This book develops, for the first time, a qualitative model for the representation of spatial knowledge based only on locative relations between the objects involved. The core of this book is devoted to the study of qualitative inference methods that take into account the rich structure of space. These methods can be applied to quite a number of areas characterized by uncertain or incomplete knowledge, as for example geographic information systems, robot control, computer-aided architectural design, and natural language information systems HTTP:URL=https://doi.org/10.1007/BFb0020328

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