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Knowledge representation and inference is an important research area of artificial intelligence.

知识表示及推理是人工智能的重要基础研究领域.

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Based on XML, a representation method for rule knowledge is proposed.

首先,提出了基于XML的规则知识表示方法.

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The other is AQ, in which the knowledge representation is production rules.

另一类是AQ算法, 其知识表示是产生式规则.

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XML knowledge representation based on object and semantic network, is put forward.

其次,研究了知识表示的现状, 提出了基于对象和语义网络的XML知识表示方法.

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Fault diagnose expert system's Knowledge expression form is object - oriented frame.

故障诊断专家系统的知识表示形式采用面向对象的框架结构.

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Knowledge representation plays an important role in AI and ES.

知识表示是人工智能与专家系统中的重要问题.

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Knowledge representation for AI system of large scale is difficult in the application of AI.

大型AI系统的知识表示方法是人工智能应用的难点.

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Research on knowledge representation and reasoning mechanism for distributed decision making is a challenge task.

对分布式决策知识表示和复杂推理机制的研究是一项富有挑战和前沿性的研究课题.

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Object - oriented knowledge representation method is now more and more applied in the construction of expert system.

面向对象 的知识表示方法已越来越多地应用于专家系统的建造中.

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Because every case base is created with ontological commitment to share ontology, knowledge integration achieved effectively.

各案例库的知识表示都遵循共享本体约定, 实现了知识集成.

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Knowledge representation and Reasoning mechanism have been the focusing topics of Artificial Intelligence and Intelligent Management.

知识表示和推理机制一直是智能管理领域的前沿课题.

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Knowledge database and rational control policy were constructed based on production rule and deductive ratiocinate.

基于产生式规则的知识表示方法及基于演绎式推理的推理方式,建立了知识库和推理控制策略.

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Knowledge acquisition, knowledge representation and knowledge utilization, those are three issues in knowledge engineering.

知识获取 、 知识表示、知识运用是知识工程中的三大问题.

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Many knowledge representations have been presented, those have and drawbacks, are useful in some domain issues.

人们已经提出了很多知识表示方法, 这些方法各有优缺点, 分别适用于不同的领域问题.

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As a representation of knowledge, production rule is widely used in intelligent system.

产生式规则是智能系统中大量采用的一种知识表示模式.

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