首页> 外文期刊>The Journal of Artificial Intelligence Research >Reformulating the Situation Calculus and the Event Calculus in the General Theory of Stable Models and in Answer Set Programming
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Reformulating the Situation Calculus and the Event Calculus in the General Theory of Stable Models and in Answer Set Programming

机译:在稳定模型的一般理论和答案集编程中重新制定情境演算和事件演算

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摘要

Circumscription and logic programs under the stable model semantics are two well-known nonmonotonic formalisms. The former has served as a basis of classical logic based action formalisms, such as the situation calculus, the event calculus and temporal action logics; the latter has served as a basis of a family of action languages, such as language A and several of its descendants. Based on the discovery that circumscription and the stable model semantics coincide on a class of canonical formulas, we reformulate the situation calculus and the event calculus in the general theory of stable models. We also present a translation that turns the reformulations further into answer set programs, so that efficient answer set solvers can be applied to compute the situation calculus and the event calculus.
机译:稳定模型语义下的外接程序和逻辑程序是两种众所周知的非单调形式主义。前者是基于经典逻辑的动作形式主义的基础,例如情境演算,事件演算和时间动作逻辑。后者作为一种行动语言家族的基础,例如语言A及其几种后代。基于发现限制和稳定模型语义在一类规范公式上一致的发现,我们在稳定模型的一般理论中重新制定了情境演算和事件演算。我们还提出了一种将重新制定公式进一步转化为答案集程序的翻译,以便可以将有效的答案集求解器应用于计算情境演算和事件演算。

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