Casual reasoning in planning1

Reasoning about actions necessarily involves tracking the truth of assertions about the world over time. The SIPE planning system retains the efficiency of the STRIPS assumption for this while enhancing expressive power by allowing the specification of a causl theory. Separation of knowledge about causality from knowledge about actions relieves operators of much of their representational burden and allows them to be applicable in a wide range of contexts. The implementation of causal theories is described, together with examples and evaluations of the system's expressive power and efficiency.     

REMARKS ON JOHN DISKS

Let D■R2 be a Jordan domain,D*=R2\D,the exterior of D.In this article,the authors obtained the following results:(1)If D is a John disk,then D is an outer linearly locally connected domain;(2)If D* is a John disk,then D is an inner linearly locally connected domain;(3)A homeomorphism f:R 2 →R 2 is a quasiconformal mapping if and only if f(D)is a John disk for any John disk D■R 2 ;and(4)If D is a bounded quasidisk,then D is a John disk,and there exists an unbounded quasidisk which is not a John disk.     

Physical Maltreatment Victim to Antisocial Child: Evidence of an Environmentally Mediated Process.

The well-documented finding that child physical maltreatment predicts later antisocial behavior has at least 2 explanations: (a) Physical maltreatment causes antisocial behavior, and (b) genetic factors transmitted from parents to children influence the likelihood that parents will be abusive and that children will engage in antisocial behavior. The authors tested these hypotheses in the representative Environmental-Risk cohort of 1,116 twin pairs and their families, who were assessed when the twins were 5 and 7 years old. Mothers reported on children's experience of physical maltreatment, and mothers and teachers reported on children's antisocial behavior. The findings support the hypothesis that physical maltreatment plays a causal role in the development of children's antisocial behavior and that preventing maltreatment can prevent its violent sequelae. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

汽轮发电机组振动多故障诊断的遗传算法研究

汽轮发电机组的振动具有多样性的特点,经常出现多种故障同时发生的情况。将遗传算法分别与模糊c划分方法和概率因果模型相结合,应用到汽轮发电机组的振动多故障诊断中。经实例分析证明,这两种方法都可对汽轮发电机组的振动多故障进行有效诊断,具有较高的诊断可靠性和实用性。     

基于级联加性噪声模型的因果结构学习算法

现有级联非线性加性噪声模型可解决隐藏中间变量的因果方向推断问题,然而对于包含隐变量和级联传递因果关系的因果网络学习存在全局结构搜索、等价类无法识别等问题。设计一种面向非时序观测数据的两阶段因果结构学习算法,第一阶段根据观测数据变量间的条件独立性,构建基本的因果网络骨架,第二阶段基于级联非线性加性噪声模型,通过比较骨架中每个相邻因果对在不同因果方向假设下的边缘似然度进行因果方向推断。实验结果表明,该算法在虚拟因果结构数据集的不同隐变量数量、平均入度、结构维度、样本数量下均表现突出,且在真实因果结构数据集中的F1值相比主流因果结构学习算法平均提升了51%,具有更高的准确率和更强的鲁棒性。     

芦山7.0级地震强震动记录及其震害相关性

以包含残余永久位移和(或)速度脉冲的强震动记录为重点分析对象,针对强震动滤波以及基线校正方式等不同处理方式对结构弹塑性响应的影响展开对比研究。考虑了多项式基线校正,Butterworth因果滤波,以及基于残余位移趋势线基线校正等几种常用的强震动记录处理流程和方法。首先以2018年台湾花莲地震,2014年云南鲁甸地震,日本311地震等代表性的强震动记录为输入,通过单(多)自由度体系以及典型平面RC框架的数值模拟结果,从结构弹塑性反应谱,层延性需求,以及最大层间位移角等方面对比研究了不同记录处理方式的影响。对比结果表明速度脉冲形状与相位是否完整保留对于结构的弹塑性响应有很大影响,对于包含速度脉冲或(及)永久位移的强震动记录,Butterworth因果滤波在滤除噪声的同时不仅消除了地表残余永久位移,同时使速度脉冲形状产生了畸变,并会传递到最后的弹塑性时程分析结果中,且对短,中,长周期结构均可能产生影响,该文推荐采用基于基线趋势线校正的处理方法对该类近断层记录进行逐条处理。最后,对于不含速度脉冲也不含永久位移的强震动记录,该文中弹塑性时程分析结果表明记录处理方式的影响并不显著。为了尽量消除因果滤波对记录时程相位谱的影响,我们给出了基于非因果滤波的批量化强震动记录处理流程供参考。     

基于模糊状态描述的不确定因果归纳自动推理机制

文中提出基于模糊语言场和模糊语言结构的知识表示新型框架,并提出能够综合处理模糊不确定性与随机不确定性的广义细胞自动机和广义归纳逻辑因果模型。在此基础上,又提出基于模糊状态描述的新型不确定因果归纳自动推理机制,并讨论其在智能控制器研制中的应用。     

基于细粒度混杂平衡的营销效果评估方法

营销效果评估是精准化市场营销的重要依据.虽然因果效应估计为营销效果评估提供了有效的研究框架,但现有因果效应估计方法主要针对群体因果效应评估问题而设计,在基于细粒度个体的因果效应评估时往往面临着用户时序特征描述困难、时序非时序混合特征混杂因子选择稳定性差等问题.针对上述问题,提出了细粒度混杂平衡的营销效果评估方法.首先,...     

广义细胞自动机与广义归纳逻辑因果模型

在勃克斯(A.W.Burks)构筑的描述因果世界的细胞自动机的基础上(属归纳概率逻辑范畴),提出了可综合处理随机不确定性与模糊不确定性的广义细胞自动机与相应的广义归纳逻辑因果模型,解决了原模型中未曾解决的主因判定与因果扰动响应的问题,并找到了它在智能控制中的应用.