کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
376865 658328 2014 33 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Spatial reasoning with RCC8RCC8 and connectedness constraints in Euclidean spaces
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Spatial reasoning with RCC8RCC8 and connectedness constraints in Euclidean spaces
چکیده انگلیسی

The language RCC8RCC8 is a widely-studied formalism for describing topological arrangements of spatial regions. The variables of this language range over the collection of non-empty, regular closed sets of n  -dimensional Euclidean space, here denoted RC+(Rn)RC+(Rn), and its non-logical primitives allow us to specify how the interiors, exteriors and boundaries of these sets intersect. The key question is the satisfiability problem  : given a finite set of atomic RCC8RCC8-constraints in m variables, determine whether there exists an m  -tuple of elements of RC+(Rn)RC+(Rn) satisfying them. These problems are known to coincide for all n≥1n≥1, so that RCC8RCC8-satisfiability is independent of dimension. This common satisfiability problem is NLogSpace-complete. Unfortunately, RCC8RCC8 lacks the means to say that a spatial region comprises a ‘single piece’, and the present article investigates what happens when this facility is added. We consider two extensions of RCC8RCC8: RCC8cRCC8c, in which we can state that a region is connected  , and RCC8c∘RCC8c∘, in which we can instead state that a region has a connected interior. The satisfiability problems for both these languages are easily seen to depend on the dimension n  , for n≤3n≤3. Furthermore, in the case of RCC8c∘RCC8c∘, we show that there exist finite sets of constraints that are satisfiable over RC+(R2)RC+(R2), but only by ‘wild’ regions having no possible physical meaning. This prompts us to consider interpretations over the more restrictive domain of non-empty, regular closed, polyhedral   sets, RCP+(Rn)RCP+(Rn). We show that (a) the satisfiability problems for RCC8cRCC8c (equivalently, RCC8c∘RCC8c∘) over RC+(R)RC+(R) and RCP+(R)RCP+(R) are distinct and both NP-complete; (b) the satisfiability problems for RCC8cRCC8c over RC+(R2)RC+(R2) and RCP+(R2)RCP+(R2) are identical and NP-complete; (c) the satisfiability problems for RCC8c∘RCC8c∘ over RC+(R2)RC+(R2) and RCP+(R2)RCP+(R2) are distinct, and the latter is NP-complete. Decidability of the satisfiability problem for RCC8c∘RCC8c∘ over RC+(R2)RC+(R2) is open. For n≥3n≥3, RCC8cRCC8c and RCC8c∘RCC8c∘ are not interestingly different from RCC8RCC8. We finish by answering the following question: given that a set of RCC8cRCC8c- or RCC8c∘RCC8c∘-constraints is satisfiable over RC+(Rn)RC+(Rn) or RCP+(Rn)RCP+(Rn), how complex is the simplest satisfying assignment? In particular, we exhibit, for both languages, a sequence of constraints ΦnΦn, satisfiable over RCP+(R2)RCP+(R2), such that the size of ΦnΦn grows polynomially in n  , while the smallest configuration of polygons satisfying ΦnΦn cuts the plane into a number of pieces that grows exponentially. We further show that, over RC+(R2)RC+(R2), RCC8cRCC8c again requires exponentially large satisfying diagrams, while RCC8c∘RCC8c∘ can force regions in satisfying configurations to have infinitely many components.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Artificial Intelligence - Volume 217, December 2014, Pages 43–75
نویسندگان
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