Spatial reasoning and planning is a core constituent in
robotics, graphics, computer-aided design, and geographic
information systems.
After a review of previous work in the related areas, Liu and
Daneshmend present here a unified framework for qualitative spatial
representation and reasoning, which enables the generation of
solutions to spatial problems where the geometric knowledge is
imprecise. The approach utilizes qualitative spatial representation
and reasoning integrated with a quantitative search procedure based
on simulated annealing. Many graphical illustrations and detailed
algorithm descriptions help the readers to comprehend the solution
paths and to develop their own applications.
The book is written as a self-contained text for researchers and
graduate students in computer science and related engineering
disciplines. The methodologies, algorithmic details, and case
studies presented can be used as course material as well as a
convenient reference.
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