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Fuzzy Autoepistemic Logic: Reflecting about Knowledge of Truth Degrees

机译:模糊自认识逻辑:对真度知识的反思

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Autoepistemic logic is one of the principal formalisms for nonmonotonic reasoning. It extends prepositional logic by offering the ability to reason about an agent's (lack of) knowledge or beliefs. Moreover, it is well known to generalize the stable model semantics of answer set programming. Fuzzy logics on the other hand are multi-valued logics, which allow to model the intensity with which a property is satisfied. We combine these ideas to a fuzzy autoepistemic logic which can be used to reason about one's knowledge about the degrees to which proporties are satisfied. In this paper we show that many properties from classical autoepistemic logic remain valid under this generalization and that the important relation between autoepistemic logic and answer set programming is preserved in the sense that fuzzy autoepistemic logic generalizes fuzzy answer set programming.
机译:自认知逻辑是非单调推理的主要形式主义之一。它通过提供推理主体(缺乏知识或信念)的能力来扩展介词逻辑。此外,众所周知的是对答案集编程的稳定模型语义进行概括。另一方面,模糊逻辑是多值逻辑,它允许对满足属性的强度进行建模。我们将这些想法结合到模糊的自流行逻辑中,该逻辑可用于推断人们对比例满足的了解程度。在本文中,我们证明了在这种泛化下,经典自流行病逻辑的许多属性仍然有效,并且自迷病逻辑与答案集编程之间的重要关系在模糊自迷病逻辑概括了模糊答案集编程的意义上得以保留。

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