On managing nonmonotonic transitive relationships

B. Boutsinas
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引用次数: 3

Abstract

Efficient representation of knowledge, under a multiple inheritance scheme with exceptions, plays an important role in artificial intelligence. Fast verification of the existence of a transitive relationship in such a hierarchy is of great importance. This paper presents an efficient algorithm for computing transitive relationships with exceptions. It is based on a known transitive closure compression technique that uses a labeled spanning tree of a directed acyclic graph. It is a very fast algorithm compared to graph-search algorithms that solve the same problem, without sacrificing some desirable properties that nonmonotonic multiple inheritance schemes should, in general, possess. Moreover it satisfies low storage requirements.
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关于非单调传递关系的管理
在具有例外的多重继承方案下,知识的高效表示在人工智能中起着重要的作用。在这种层次结构中快速验证传递关系的存在性是非常重要的。本文提出了一种计算异常传递关系的有效算法。它基于已知的传递闭包压缩技术,该技术使用有向无环图的标记生成树。与解决相同问题的图搜索算法相比,它是一种非常快的算法,而不会牺牲非单调多重继承方案通常应该具有的一些理想特性。此外,它满足低存储要求。
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