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A Formal Knowledge Representation System (FKRS) for the Intelligent Knowledge Base of a Cognitive Learning Engine

机译:认知学习引擎智能知识库的形式化知识表示系统(FKRS)

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It is recognized that the generic form of machine learning is a knowledge acquisition and manipulation process mimicking the brain. Therefore, knowledge representation as a dynamic concept network is centric in the design and implementation of the intelligent knowledge base of a Cognitive Learning Engine (CLE). This paper presents a Formal Knowledge Representation System (FKRS) for autonomous concept formation and manipulation based on concept algebra. The Object-Attribute-Relation (OAR) model for knowledge representation is adopted in the design of FKRS. The conceptual model, architectural model, and behavioral models of the FKRS system is formally designed and specified in Real-Time Process Algebra (RTPA). The FKRS system is implemented in Java as a core component towards the development of the CLE and other knowledge-based systems in cognitive computing and computational intelligence.
机译:公认的机器学习的一般形式是模仿大脑的知识获取和操纵过程。因此,作为动态概念网络的知识表示以认知学习引擎(CLE)的智能知识库的设计和实现为中心。本文提出了一种基于概念代数的自主知识形成和操纵的形式知识表示系统(FKRS)。 FKRS的设计采用了知识表示的对象-属性-关系(OAR)模型。 FKRS系统的概念模型,体系结构模型和行为模型是在实时过程代数(RTPA)中正式设计和指定的。 FKRS系统以Java的形式实现,是CLE和其他基于认知的系统在认知计算和计算智能方面的发展的核心组件。

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