Ebook: Qualitative Representation of Spatial Knowledge
Author: Daniel Hernández (eds.)
- Genre: Computers
- Tags: Artificial Intelligence (incl. Robotics), Computer-Aided Engineering (CAD CAE) and Design, Geographical Information Systems/Cartography
- Series: Lecture Notes in Computer Science 804
- Year: 1994
- Publisher: Springer-Verlag Berlin Heidelberg
- City: Berlin; New York
- Edition: 1
- Language: English
- djvu
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.
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.
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