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arXiv 2407.09015cs.LOcs.AI
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基于布尔网络的逻辑程序静态分析

Static Analysis of Logic Programs via Boolean Networks

Aix-Marseille University(艾克斯-马赛大学);LIS(信息科学实验室)

Van-Giang Trinh, Belaid Benhamou

AI总结:

本研究建立逻辑程序与布尔网络的关联,借助布尔网络静态分析的现有成果探索ASP的理论结论,为ASP静态分析提供统一工具,有望惠及该领域诸多问题。

摘要:

回答集编程(Answer Set Programming,ASP)是一种声明式问题求解范式,可将组合问题编码为逻辑程序,其稳定模型对应所研究问题的解。ASP已被广泛应用于人工智能及其他多个领域。“从逻辑程序的静态信息中能得到关于其稳定模型的哪些结论?”这一问题已得到研究,且在诸多场景中被证明具有实用价值。在本研究中,我们通过建立逻辑程序与布尔网络(Boolean network,一种应用广泛的重要建模框架)之间的关联,更深入地推进了这一方向的研究。所提出的关联可借助布尔网络静态分析丰富研究历程中的现有成果,探索并证明更多ASP相关的理论结论,使其成为进一步研究ASP静态分析的统一且强大的工具。特别地,新获得的见解有望为ASP领域的诸多问题带来助益。

英文摘要:

Answer Set Programming (ASP) is a declarative problem solving paradigm that can be used to encode a combinatorial problem as a logic program whose stable models correspond to the solutions of the considered problem. ASP has been widely applied to various domains in AI and beyond. The question "What can be said about stable models of a logic program from its static information?" has been investigated and proved useful in many circumstances. In this work, we dive into this direction more deeply by making the connection between a logic program and a Boolean network, which is a prominent modeling framework with applications to various areas. The proposed connection can bring the existing results in the rich history on static analysis of Boolean networks to explore and prove more theoretical results on ASP, making it become a unified and powerful tool to further study the static analysis of ASP. In particular, the newly obtained insights have the potential to benefit many problems in the field of ASP.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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