The Challenges of Effective AGM Belief Contraction

Dominik Klumpp, Jandson S. Ribeiro
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Abstract

Despite the significant interest in extending the AGM paradigm of belief change beyond finitary logics, the computational aspects of AGM have remained almost untouched. We investigate the computability of AGM contraction on non-finitary logics, and show an intriguing negative result: there are infinitely many uncomputable AGM contraction functions in such logics. Drastically, even if we restrict the theories used to represent epistemic states, in all non-trivial cases, the uncomputability remains. On the positive side, we identify an infinite class of computable AGM contraction functions on Linear Temporal Logic (LTL). We use B\"uchi automata to construct such functions as well as to represent and reason about LTL knowledge.
有效收缩 AGM 信仰的挑战
尽管人们对将信念变化的 AGM 范式扩展到有限逻辑之外非常感兴趣,但 AGM 的计算方面几乎仍未触及。我们研究了AGM收缩在非有限逻辑上的可计算性,并展示了一个耐人寻味的负面结果:在这类逻辑中存在无限多的不可计算的AGM收缩函数。从正面来看,我们在线性时态逻辑(LTL)上发现了一类无限的可计算的AGM收缩函数。我们使用渊自动机来构造这类函数,并对LTL知识进行表示和推理。
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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