因果推理

讨论了态势估计的不确定性因果推理方法，提出了D-S证据理论用于态势估计系统的信息融合方法；

The uncertain causal inference methods for situation assessment are studied . By using D-S evidential theory , an information fusion method for situation assessment system is put forward .

本论文是关于中国英语学习者在说明性语篇阅读理解中因果推理的研究。

The dissertation presents a study of on-line causal inference generation among Chinese EFL learners .

最后它把因果推理模型推广应用到具体的领域以建立实际的AI系统，例如在故事理解和法律推理中的应用。

And it finally extends and utilizes these abstract reasoning models to formalize causal knowledge in specific domains to develop practical causal reasoning systems for AI research , e.

Pearl提出的因果推理方法，该方法的基本思想是把因果推理看成是一种计算模式，而这种把智能归结为计算模式的想法正是认知科学中的核心思想。

Pearl 's method in dealing with causal reasoning , which treats causation as a computational schema . This idea of treating intelligence as computational schema is the basic idea of cognitive science .

在多Agent模型中集成因果推理，对团队有效性进行建模与模拟，并开发了基于Repast的集成模拟系统。

Causal reasoning is integrated into the multi-agent model and employed in modeling and simulation of team effectiveness . The simulation model is developed into an integrated simulation system based on Repast .

研究了将基于范例的因果推理方法（CBR）引入到拱坝变形因果分析的相关理论，并将其与传统的回归模型相结合，建立了拱坝变形因果推理模型。

The case-based reasoning method ( CBR ) is introduced to analyze the cause of dam deformation . And a cause-effect model that combining the CBR and traditional regression model is established .

随机环境下的因果推理方法

A method of causal ordering reasoning under stochastic context

3~4岁儿童规则因果推理能力的训练研究

Training Studies on Rule-based Causal Reasoning in Children Aged 3 to 4 Years

用于态势评估中因果推理的贝叶斯网络

Bayesian Networks for Causal Reasoning in Situation Assessment

一种基于面向对象环境的因果推理方法

A Causal Reasoning Method Based on Object-Oriented Environment

反事实思维与因果推理的关系

The Relation between Counterfactual Thinking and Causal Reasoning

DFCR：因果推理的一种形式框架

Dfcr : a formal framework for causal reasoning

单调性。（4）以默认规则表达方法为基础，建立了具体领域的因果推理应用模型。

Specific causal reasoning systems are constructed .

生产过程监测的多尺度定性特征因果推理方法定性决策模型初探

APPLICATION OF MULTI-SCALE QUALITATIVE CAUSAL REASONING TO PROCESS MONITORING An APProach to Qualitative Decision-making Modeling

工作记忆对中国英语学习者即时因果推理的影响

A Study of the Effects of Working Memory on Chinese EFL Learners ' On-line Causal Inference Generation

恒常会合推理其实只是人们的心理习惯，因果推理也是如此。

Hume further concluded that the ' inference ' of constant conjunction is only people 's mental habit .

一种因果推理形式

A causal reasoning method

反事实思维是人们日常生活中经常产生的一种思维方式，这种思维常常影响因果推理和归因。

Counterfactual thinking is a way of thinking in our everyday life , which influence causal reasoning and attribution .

3.5～4岁左右是儿童因果推理能力发展的快速期。

And ( 3 ) children 's causal reasoning develops rapidly between the ages of age of 3.5 to 4 years .

威胁估计是基于客观事实和规则的因果推理判断，而贝叶斯网络提供了一种自然的表示因果关系的手段。

Threat assessment is an inference based on the truth and rules , and that Bayesian network provides a method for natural casual description .

这样文章转而对因果推理中信念学说的基本内容即信念的本性、来源和作用作了详实的论述。

Then this article is the belief theory in the detail that the nature of the belief , origin and function of the belief .

将经过改进的元胞自动机与因果推理集成，对员工与任务互动过程建模与模拟，并实现为模拟系统。

The approach of upgraded cellular automata integrated with causal reasoning is used for modeling and simulation of employee-task interactions . The model is implemented into a simulation system .

从而证明了作为因果推理前提的自然齐一性是一条先验原理，其对一切可能经验具有必然性。

Therefore , Kant shows that uniformity of nature , as a premise of causal reasoning , is a transcendental principle , and it is a necessary truth for any possible experiences .

所有的因果推理只能以一个不变的因果顺序假定为基础做出理性判断，而无法参考实证研究的证据进行判断。

All the causal reasoning can only be rationally justified on the basis of the assumption of an immutable causal order but cannot be justified by reference to evidence by empirical investigation .

本文最后比较了基于逻辑的方法和基于认知科学的方法实现智能的区别，指出了因果推理应该在认知科学的框架内得到解决。

As last , we contrast methods which implement intelligence based on logic and those based cognitive science , point out that causal reasoning should be performed in the framework of cognitive science .

明确的检验假设，合理的对象选择，可靠的实验方法，恰当的统计分析和正确的逻辑推理在因果推理研究中缺一不可。

Clear verifiable hypotheses , rational selection of subjects , reliable experimental methods , appropriate statistical analysis and correct logical deductions , all are the integral parts that finally constitute a faithful deduction .

本文在概率因果推理模型的基础上，引入模糊理论，重新建立了模糊概率因果变压器故障诊断模型，并从非线性组合优化的角度提出了该模型的遗传算法求解策略。

A fuzzy probability reasoning model for transformer faults diagnosis is rebuilded based on probability reasoning and fuzzy theory . A GA resolvent for the model is put forward from the point of nonlinear combinatorial optimization view .

贝叶斯网络因其处理不确定性问题的能力及其良好的因果推理机制已成为因果数据采掘的主要技术，同样，它也是实现分布估计算法的一个重要途径。

Because of the ability to solve indeterminate problems and do well in the causal reasoning , Bayesian network has been the primary technique for causal datum mining , and an important way to realize the estimation of distribution algorithms .

本文介绍了因果推理的两个主要应用：预测行为的间接结果，找出给定事实的真正原因，指出了用逻辑描述的因果关系在解决这两个问题中存在的不足。

This paper presents two main applications of causal reasoning : to predict indirect facts of actions and to find the actual cause of some given facts . We point out that logic is not adequate for solving these two problems .

为了验证这两个假设，本研究共选取青岛科技大学外国语学院的51名学生为被试参加一项因果推理试验。

In order to test these two hypotheses , altogether 51 subjects were selected to participate in a causal inference generation experiment , which was designed and carried out among non-English majors from the College of Foreign Languages of Qingdao University of Science and Technology .