Reasoning in higraphs with loose edges

S. Anderson, J. Power, Konstantinos Tourlas
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引用次数: 4

Abstract

Harel (1988) introduces the notion of zooming out as a useful operation in working with higraphs. Zooming out allows one to consider less detailed versions of a higraph by dropping some detail from the description in a structured manner. Although this is a very useful operation it seems it can be misleading in some circumstances by allowing the user of the zoomed out higraph to make false inferences given the usual transition system semantics for higraphs. We consider one approach to rectifying this situation by following through Harel's suggestion that, in some circumstances, it may be useful to consider higraphs with edges that have no specific origin or destination. We call these higraphs loose higraphs and show that an appropriate definition of zooming on loose higraphs avoids some of the difficulties arising from the use of zooming. We also consider a logic for connectivity in loose higraphs.
用松散边缘的图形推理
哈雷尔(1988)引入了缩小的概念,将其作为处理图形的有用操作。通过以结构化的方式从描述中删除一些细节,缩小图形允许考虑不太详细的图形版本。虽然这是一个非常有用的操作,但在某些情况下,它可能会误导用户,因为它允许放大图形的用户根据图形通常的转换系统语义做出错误的推断。我们考虑了一种纠正这种情况的方法,即遵循Harel的建议,在某些情况下,考虑具有没有特定起点或目的地的边的图形可能是有用的。我们称这些图形为松散图形,并说明对松散图形进行缩放的适当定义可以避免使用缩放所产生的一些困难。我们还考虑了松散图中连通性的逻辑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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