Specific topics include color, objects, categories, similarity, inductive inference, space, time, causality, reasoning, decision-making, morality and consciousness. 特定的研究议题包括颜色、物体、数字、类别、相似性、推论、空间、时间、因果关系、问题解决、决策、道德和意识等。
He did deny this inductive inference is founded on rational insight but he didn't want to say that therefore anything goes. 他并不否认归纳源自于理性的洞察,但是他也不想承认所有事物都如出一辙。
The main results of the research are as follows: Model of Explanation-based Inductive Inference. 本文的主要研究结果是:归纳解释推理模型。
The Leap in the Process of Induction Is Impossible!?& the Analysis of Stemmer Nathan s Justification for the Validity of Inductive Inference; Both induction and deduction are essential characteristics of rational thinking. 归纳所达不到的跳跃!&浅析施泰默为归纳推理有效性的辩护归纳与推论都是理性思维的重要特征。
In recent years, there are some attractive experiments in the study of inductive inference:& Rubinstein, Lopez etc, Proffitt etc have suggested that the influence of knowledge context should not be ignored; 归纳推理研究领域出现了一些引人注目的实验研究:Heit和Rubinstein等的研究表明了知识背景对归纳推理存在不可忽视的影响;
David Hume challenged the objectivity of causality and the inevitability of inductive inference. 休谟对因果关系的客观性和归纳推理的必然性提出了严重质疑。
Decision tree learning is one of the widely used and practical methods for inductive inference. 决策树学习是应用最广泛的归纳推理算法之一。
Influence of knowledge context on inductive inference 知识背景对归纳推理的影响
Decision tree classification learning algorithm is one of the most widely used and very practical inductive inference methods. It is of much theoretical and practical significance in the artificial intelligence kingdom such as machine learning and data mining. 决策树分类学习算法是使用最广泛、实用性很强的归纳推理方法之一,在机器学习、数据挖掘等人工智能领域有相当重要的理论意义与实用价值。
Using technique of generalized imitation, Mandler et al have investigated infants 'inductive inference, they found: 9-20 month infants' inductive inference was constrained by the conceptive category the level of domain, and was a process based on concept. Mandler等人利用概括化模仿技术对婴儿的归纳推理进行了研究,发现:9-20个月的婴儿的归纳推理受到领域水平的概念类别所限制,是一个基于概念的过程;
An Exploration of the Basic Theory of Children's Inductive Inference 儿童归纳推理基础理论探索
Experiment one examined the influence of ail-labeled condition and non-labeled condition on 6-9-year-old children's specific inductive inference while the perceptual similarity of the stimuli is systematically changed. Besides, it explored the developmental characteristics and mechanism of their specific induction. 实验一探讨在知觉相似性系统变化的情况下,刺激项全体有标签和全体无标签分别对6~9岁儿童特殊归纳推理的影响及其发展特征。
Many studies show that linguistic labels have influence on children's specific inductive inference, but have different ideas about the essential role of linguistic labels because there is no consistent view about the mechanism of children's specific inductive inference. 许多研究都表明语言标签对儿童的特殊归纳推理有着影响,但由于对儿童特殊归纳推理基本机制存在不同看法,导致了对语言标签在其中的作用性质也没有一个统一的观点。
He argued that the premise of inductive inference was not the proper logical guarantee of the authenticity of the conclusion, even though it was authentic. 他认为归纳推理中前提的真实性不能为结论的真实性提供逻辑保证,因而是无效推理。
7-8 years is an important period of time of linguistic labels 'influence on children's specific inductive inference. 7~8岁是语言标签对儿童特殊归纳推理的影语言标签在6一g岁儿童特殊归纳推理中的作用研究响发生重要变化的一个时期。
This article briefly describes the origin of Hume ′ s Inductive Problem, and shows special concern for several solutions that logicians put forward: the premise that intensifies inductive inference; 本文对休谟归纳问题的由来仅作简要叙述,重点考察了逻辑学家们的如下几种解决方案:强化归纳推理的前提;
The Role of Linguistic Labels in 6-9-year-old Children's Specific Inductive Inference 语言标签在6~9岁儿童特殊归纳推理中的作用研究
Therefore, in the study of children's inductive inference, emphasis should be laid on the function of knowledge of concepts because development of concepts exercises a decisive effect on the study of inductive inference. 在儿童归纳推理研究中应该重视概念知识的作用。概念发展对归纳推理研究有决定性的影响。
The Inductive Inference Mechanism for Causal Relation Use to Fuzzy Control of the Complex Systems 一类用于复杂系统Fuzzy控制的因果关系归纳推理机制
Linguistic labels have a quantitative influence on 6-9-year-old children's specific inductive inference, especially to 6-7-year-old children. 语言标签对6~9岁儿童特殊归纳推理的影响是数量上的。其中,6~7岁儿童的归纳结果受语言标签的影响最大。
This result consist with prediction of the Label-as-Attribute Model, proving the number of overlapping attributes among compared entities played an important role in 6-9-year-old children's specific inductive inference. 这一结果与标签属性模型的预测一致,表明刺激项之间视觉特征的重盈数量对6-9岁儿童的特殊归纳推理有很大影响。
The issue of the rationality of inductive inference was first raised by David Hume, so it is also called "Hume's problem". 归纳推理的合理性问题最早由体谟提出,故又称休谟问题。
Philosophy of Science Explanation on the Rationality of Inductive Inference 归纳推理合理性的科学哲学解释
As it is possible that the question of causality lead to the question of induction, modern empiricists and critical rationalists substitute query on the rationality and reliability of inductive inference for query on the necessity of causal relation by Hume. 休谟的因果问题包含着引申出归纳问题的可能性,因此现代经验主义者和批判理性主义者把休谟对因果联系必然性的质疑转换成对归纳推理的合理性和可靠性的质疑。
Gelman et al discussed the role of category membership, linguistic labels, psychological essentialism in young children's inductive inference and found that 2-4 year children's inductive inference was constrained by basic level of category membership, and it was also a process based on concept. Gelman等人探讨了类别成员关系、语言标签、心理本质主义在幼儿的归纳推理中的作用,发现:2-4岁幼儿的归纳推理受基本水平的类别成员关系所限制,也是一个基于概念的过程。
Inductive inference psychological effects point out the extent that various factors in the inductive arguments affect the inductive judgment power, according to the factors and their effective ways, which mainly includes category effect, property effect, and mutual effect. 归纳推理心理效应指的是归纳论断中各种因素对个体做出归纳结论时把握性(力度)大小的影响,根据影响因素的不同,主要可分为类别效应、属性效应和交互效应三种。
Decision tree induction is one of the most important branches of inductive learning. It is one of the most widely used and practical methods for inductive inference. 决策树归纳算法是归纳学习中最重要的分支之一,是归纳推理中应用最广,最实用的方法之一。
However the relation between the premise and the conclusion of inductive inference is probable. Since David Hume questioned the effectiveness of inductive inference, the philosophy field has not washed disrepute of the "inductive problem". 然而,归纳推理的前提与结论之间是一种概然性关系,自从大卫·休谟对它的有效性提出质疑之后,哲学上至今无法洗刷归纳问题的耻辱。
In the matter of logical process, inductive inference and deductive inference are both important and connected together in the science research. 从逻辑过程看,归纳推理和演绎推理在科学研究中都具有重要的作用,在实践过程中,两种推理被有机地结合在一起。
Decision Tree is an important method of inductive inference learning. This paper proposes a decision tree algorithm based on rough set. 决策树是一种重要的归纳推理学习法,本文提出了一种基于粗糙集的决策树优化算法,该算法利用粗糙集中的近似分类精度及规则的确定性因子来进行属性选择,构造决策树。