A scale-free model for random ASP programs

Lian Wen, Kaile Su, Zhe Wang
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Abstract

Scale-free property, which means a small number of nodes dominate a network with far more number of connections than other nodes, has been observed in many large-scale real-world networks and many large software systems. However, this is not investigated for answer set programming (ASP), a major paradigm of declarative problem solving. This paper first presents a generator (model) for randomly generating ASP programs that demonstrate scale-free property. Then reports that all the 28 real ASP programs from different domain showing clear scale-free property. Finally significant experiments are conducted to demonstrate that random generated ASP programs could be solved in polynomial time if they are scale-free, while general random ASP programs are NP hard problems. The results may help to understand the nature of large ASP programs.
随机ASP程序的无标度模型
无标度特性,即少量节点在连接数量远多于其他节点的网络中占主导地位,已经在许多大型现实网络和许多大型软件系统中被观察到。然而,对于答案集编程(ASP),一种声明性问题解决的主要范例,并没有对此进行研究。本文首先提出了一个用于随机生成具有无标度特性的ASP程序的生成器(模型)。然后报告了来自不同领域的28个真实ASP程序均显示出明显的无标度性。最后通过重要的实验证明,随机生成的ASP程序在无标度的情况下可以在多项式时间内求解,而一般的随机ASP程序是NP困难问题。这些结果可能有助于理解大型ASP程序的本质。
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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