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A Logic of Knowing How with Skippable Plans

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11813))

Abstract

The paper expands upon the work by Wang [16], who proposes a single-agent modal logic framework for reasoning about “knowing how”. This paper proposes a more flexible semantics to the knowing-how operator. According to this semantics, an agent knows how to achieve \(\varphi \) given \(\psi \) if there exists a finite linear plan such that it will end up with some \(\varphi \)-state from any \(\psi \)-state by executing the plan, either fully or skipping some non-executable steps. We give a sound and complete axiomatization of this logic. Finally we introduce a suitable notion of bisimulation for this logic.

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Notes

  1. 1.

    It is a variant of the example in [16].

  2. 2.

    \({\mathbb {SKHS}}\) is exactly the same proof system as in [16].

  3. 3.

    Please refer to the proof of Proposition 2 in [16].

  4. 4.

    It is exactly the Proposition 5.

  5. 5.

    Please refer to the proof of Proposition 6 in [16].

  6. 6.

    We can prove it via the filtration method. Consider the filtrations of canonical models through the subformula closed set generated by \(\varphi \). The filtration model is indeed a bounded small model for \(\varphi \). Here we do not show the details of the proof, since the proposition is a corollary of Proposition 8 in [16], for \(\mathbb {SKHS}\) is same as the proof system in [16] and both systems are sound and complete.

  7. 7.

    This section borrows ideas from [4].

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Acknowledgments

The author thanks Yanjing Wang for giving the author the ideas of the skippable plan and the bisimulation, and his helpful comments to make the paper more readable. The author thanks the three anonymous reviewers for their insightful comments on the early version of the paper.

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Correspondence to Xun Wang .

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Wang, X. (2019). A Logic of Knowing How with Skippable Plans. In: Blackburn, P., Lorini, E., Guo, M. (eds) Logic, Rationality, and Interaction. LORI 2019. Lecture Notes in Computer Science(), vol 11813. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-60292-8_30

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  • DOI: https://doi.org/10.1007/978-3-662-60292-8_30

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