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.
Author(s): Daniel Hernández (eds.)
Series: Lecture Notes in Computer Science 804
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 1994
Language: English
Pages: 208
Tags: Artificial Intelligence (incl. Robotics); Computer-Aided Engineering (CAD, CAE) and Design; Geographical Information Systems/Cartography
Introduction....Pages 1-5
Qualitativeness....Pages 7-11
A cognitive perspective on knowledge representation....Pages 13-23
Qualitative representation of positions in 2-D....Pages 25-54
Reasoning with qualitative representations....Pages 55-103
Applications....Pages 105-116
Extensions of the basic model....Pages 117-128
Relevant related work....Pages 129-147
Conclusion....Pages 149-154
