knowledge representation and reasoning meaning in English

知识表达与推理

Examples

Knowledge representation and reasoning method based on relation database
一种基于关系数据库的知识表示和推理方法
During the study on the realization of computer - aided conceptual design system of mechanism design , the thesis utilized some knowledge and technology in the artificial intelligence field such as knowledge representation and reasoning
在对计算机辅助机构概念设计系统的实现的研究中，论文利用了人工智能领域中的知识表示和推理等知识与技术。
16 rendell d a , cui z , cohn a g . a spatial logic based on regions and connection . international conference on knowledge representation and reasoning , 1992 , pp . 165 - 176 . 17 fiadeiro jos e l . categories for software engineering
进一步把带类型范畴的概念推广为类范畴，可以描述不完全和有缺陷的知识，以及不完全知识和有缺陷知识消除缺陷和完备化的过程。
This paper describes the details about knowledge representation and reasoning based on uncertainty in ai , and the outline of belief network . after introducing the causality diagram model and summarizing conventional reasoning algorithm , a new reasoning approach of causality diagram has been presented , which is aimed at the defects in conventional reasoning algorithm , which are the large amount of boolean computation and its complexity
论文详细地介绍了人工智能中不确定性知识表达及其推理的有关内容，并简要介绍了信度网知识表达方式；在介绍因果图知识表达模型、总结单值因果图的常规推理算法后，针对单值因果图常规推理算法中存在逻辑运算量大、计算复杂的困难，根据早期不交化的思想，提出了一种单值因果图推理的新方法。
This dissertation discusses and studies to surround the knowledge representation , learning , reasoning , and the main contents include : at the first chapter , some familiar uncertain knowledge representation and reasoning and the difficulties of them : evidential theory , certainty factor , fuzzy logic and fuzzy reasoning , subjective bayesian method , belief network are introduced . we present the basic knowledge , primary reasoning algorithm , complexity of reasoning algorithm , the way of dealing with some problem of causality diagram relative and the research direction in causality diagram theory particular at the second chapter
论文围绕着因果图的知识表达、学习、推理进行了讨论和研究,主要内容包括:在扼要介绍了一些比较常见的不确定性知识的表示和推理方法:证据理论、确定性因子、模糊逻辑与模糊推理、主观bayes方法、信度网的基本知识之后,比较详细地阐述了因果图的知识表达,主要的推理算法、计算复杂度以及对一些问题的处理方式方法。

knowledge representation and reasoning meaning in English

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