On the Progression of Belief

Artif. Intell. Pub Date : 2021-09-01 DOI:10.24963/kr.2021/44
Daxin Liu, Qihui Feng
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引用次数: 5

Abstract

Based on weighted possible-world semantics, Belle and Lakemeyer recently proposed the logic DS, a probabilistic extension of a modal variant of the situation calculus with a model of belief. The logic has many desirable properties like full introspection and it is able to precisely capture the beliefs of a probabilistic knowledge base in terms of the notion of only-believing. While the proposal is intuitively appealing, it is unclear how to do planning with such logic. The reason behind this is that the logic lacks projection reasoning mechanisms. Projection reasoning, in general, is to decide what holds after actions. Two main solutions to projection exist: regression and progression. Roughly, regression reduces a query about the future to a query about the initial state while progression, on the other hand, changes the initial state according to the effects of actions and then checks whether the formula holds in the updated state. In this paper, we study projection by progression in the logic DS. It is known that the progression of a categorical knowledge base wrt a noise-free action corresponds to what is only-known after that action. We show how to progress a type of probabilistic knowledge base wrt noisy actions by the notion of only-believing after actions. Our notion of only-believing is closely related to Lin and Reiter's notion of progression.
论信仰的发展
Belle和Lakemeyer最近提出了基于加权可能世界语义的逻辑DS,这是基于信念模型的情景演算的模态变体的概率扩展。该逻辑具有许多理想的属性,如完全自省,并且能够根据只相信的概念精确地捕获概率知识库的信念。虽然这个提议在直觉上很有吸引力,但如何按照这种逻辑进行规划尚不清楚。这背后的原因是逻辑缺乏投射推理机制。投射推理,一般来说,是决定行动之后会发生什么。存在两种主要的投影解决方案:回归和进程。粗略地说,回归将对未来的查询简化为对初始状态的查询,而另一方面,进度根据动作的效果更改初始状态,然后检查公式是否在更新状态下成立。本文研究了逻辑DS中的递进投影。众所周知,分类知识库在无噪声操作中的进展与该操作之后的唯一已知内容相对应。我们展示了如何通过行动后才相信的概念来推进一种基于噪声行动的概率知识库。我们的“唯信”概念与林和瑞特的“进步”概念密切相关。
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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