基于AORBCO模型的知识表示研究  

Research on Knowledge Representation Based on AORBCO Model

作　　者：肖良舜 罗钧旻[1] 高武奇[1] XIAO Liangshun;LUO Junmin;GAO Wuqi(College of Computer Science and Engineering,Xi'an Technological University,Xi'an 710021,China)

机构地区：[1]西安工业大学计算机科学与工程学院,陕西西安710021

出　　处：《智能物联技术》2022年第6期17-22,共6页Technology of Io T& AI

摘　　要：知识表示是人工智能的基础,对智能模型的功能起着至关重要的作用。现有知识表示方法只是对单一领域建模,对知识的定义和表示并不完整。基于此,本文从唯识心理学的角度,基于AORBCO模型对知识进行了明确的定义,并从知识的组成、作用、特性三个角度对现有的知识表示方法进行了分析和比较。本文认为AORBCO模型在知识表示的完整性和智能性上比其他模型更有优势,能够更好地表示智能,更加完整和全面表示不同的知识。As the foundation of artificial intelligence,knowledge representation plays a crucial role in the function of intelligent models.The existing knowledge representation methods only model for a single domain,and these knowledge representations are not complete in the definition and representation of knowledge.Based on AORBCO model,this paper gives a clear definition of knowledge from the perspective of epistemic psychology,analyzes and compares the existing knowledge representation methods from three perspectives:composition,function and characteristics of knowledge.Through comparative analysis,it is believed that the AORBCO model has more advantages than other models in the integrity and intelligence of knowledge representation,which can better represent intelligence and represent different knowledge more completely and comprehensively.

关 键 词：人工智能 知识表示 AORBCO模型 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术]