Network-based heuristics for constraint-satisfaction problems
Artificial Intelligence
Temporal reasoning based on semi-intervals
Artificial Intelligence
Partial constraint satisfaction
Artificial Intelligence - Special volume on constraint-based reasoning
Experimental evaluation of preprocessing algorithms for constraint satisfaction problems
Artificial Intelligence
A Sufficient Condition for Backtrack-Free Search
Journal of the ACM (JACM)
Imprecise reasoning in geographic information systems
Fuzzy Sets and Systems - Special issue on Uncertainty in geographic information systems and spatial data
Maintaining knowledge about temporal intervals
Communications of the ACM
Algorithms for Buffering Fuzzy Raster Maps
Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference
Heuristics for Solving Fuzzy Constraint Satisfaction Problems
ANNES '95 Proceedings of the 2nd New Zealand Two-Stream International Conference on Artificial Neural Networks and Expert Systems
Qualitative design support for engineering and architecture
Advanced Engineering Informatics
Ambient Compass: One Approach to Model Spatial Relations
ICDHM '09 Proceedings of the 2nd International Conference on Digital Human Modeling: Held as Part of HCI International 2009
Spatiotemporal reasoning for smart homes
Designing Smart Homes
Planning temporal events using point-interval logic
Mathematical and Computer Modelling: An International Journal
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Reasoning about space plays an essential role in many cultures. Not only is space, like time, one of the most fundamental categories of human cognition, but also does it structure all our activities and relationships with the external world. Space serves as the basis for many metaphors, including temporal metaphors. It is inherently more complex than time, because it is multidimensional and epistemologically multiple.The way humans often deal with space in everyday situations is on a qualitative basis, allowing for imprecision in spatial descriptions when interacting with each other. Instead of using an absolute space (i.e., space viewed as a "container", which exists independently of the objects that are located in it), it seems that they prefer a relative space, which is a construct induced by spatial relations over nonpurely spatial entities.In artificial intelligence, a variety of formalisms have been developed that deal with space on the basis of relations between objects. Although most approaches provide some algorithms to reason about such relations, they usually do not make any attempt to address questions like how to handle imprecision in spatial relations or how to combine qualitative spatial relations with quantitative information. Although these questions seem to be unrelated to each other, we show in this chapter that fuzzy logic can provide an answer to both of them.