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Autoepistemic answer set programming

机译:自动抑制答案集编程

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Defined by Gelfond in 1991, epistemic specifications constitute an extension of Answer Set Programming (ASP) that introduces subjective literals. A subjective literal allows checking whether some regular literal is true in all (or in some of) the answer sets of the program, that are further collected in a set called world view. One epistemic program may yield several world views but, under the original semantics, some of them resulted from self-supported derivations. During the last eight years, several alternative approaches have been proposed to get rid of these self-supported world views. Unfortunately, their success could only be measured by studying their behaviour on a set of common examples in the literature, since no formal property of "self-supportedness" had been defined. To fill this gap, we extend in this paper the idea of unfounded set from standard logic programming to the epistemic case. We define when a world view is founded with respect to some program. Accordingly, we define the foundedness property for an arbitrary semantics, so it holds when its world views are always founded. Using counterexamples, we explain that the previous approaches violate foundedness, and proceed to propose a new semantics based on a combination of Moore's Autoepistemic Logic and Pearce's Equilibrium Logic. This combination paves the way for the development of an autoepistemic extension of ASP. The main result proves that this new semantics precisely captures the set of world views of the original semantics that are founded.
机译:由Gelfond于1991年定义,认知规范构成了介绍主观文字的答案集编程(ASP)的扩展。主观文字允许检查某些常规文字是否在程序的答案组中是真实的,这在一个名为World View的集合中进一步收集。一个认知程序可能会产生几个世界观,但在原始语义下,其中一些是由自支持的推导来产生的。在过去的八年里,已经提出了几种替代方法来摆脱这些自由支持的世界观。不幸的是,他们的成功只能通过在文献中的一系列常见例子上研究他们的行为来衡量,因为没有定义“自我支持”的正式财产。为了填补这个差距,我们在本文中延伸了从标准逻辑编程到认知案件的毫无根据的集合。我们定义了一个世界观所建立的一些程序时。因此,我们为任意语义定义了创始性属性,因此当始终建立世界观点时它会持有。使用Conterexamples,我们解释了以前的方法违反了创始度,并继续基于摩尔自身血检和Pearce均衡逻辑的组合提出新的语义。这种组合为开发ASP的自身爆炸延伸铺平了道路。主要结果证明,这种新的语义精确地捕获了创立的原始语义的世界视图集。

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