By Coble A. B.
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When running them in parallel, more instances were solved within the same CPU time than for any single heuristic alone. , using the “H-heuristics” does not lead to solving many instances that were otherwise insoluble within reasonable time. The main contribution of the H-heuristics in the orthogonal combination was that they were often successful in producing the fastest response. 3. Qualitative Spatial Representation and Reasoning In this chapter we give an overview of the ﬁeld of qualitative spatial representation and reasoning.
Springer-Verlag Berlin Heidelberg 2002 32 3. Qualitative Spatial Representation and Reasoning ledge and as such marked a starting point for qualitative physics [54, 165]. A further milestone towards establishing qualitative physics (or qualitative reasoning as it is now called) as an important sub-discipline of Artiﬁcial Intelligence was the Naive Physics Manifesto [82, 83, 84] which, among other things, proposes to represent space-time with four-dimensional “histories”. Based on Hayes’s histories, Forbus  presented a system which reasoned about motion through free space by using again both qualitative and quantitative information.
2 Principles of Qualitative Spatial Reasoning 33 plex than time. This is mainly due to its inherent multi-dimensionality which leads to a higher degree of freedom and an increased possibility of describing entities and relationships between entities. This becomes clear when enumerating natural language expressions involving space or time. While temporal expressions mainly describe order and duration (like “before”, “during”, “long”, or “a while”) or a personal or general temporal category (like “late” or “morning”), spatial expressions are manifold.