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多重分层抽象模型

Multiple Hierarchical Abstraction Model
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摘要 基于G-KRA模型框架,对已有的流片段概念进行扩展,提出3种不同类型的流片段组,并引入现象和目的的概念,定义了流片段(组)的现象不可区分性.根据流片段(组)的现象不可区分性合并流感知过程获得的某些流片段,建立了流片段集合与现象集合间及现象集合与目的集合间的映射关系,并形式化地描述了基于多重知识流片段集合的分层过程,为客观世界基于多重知识的分层抽象过程提供了可共享和重用的知识库及转换机制. We extended the concept of flow fragment and proposed three types of flow fragment groups.Moreover,the concepts of phenomenon and goal were described and the phenomenon-based indistinguishable flow fragments(or flow fragment groups) were defined.We constructed the mapping relationship between the sets of flow fragments and of phenomenons,as well as between the sets of phenomena and of goals.The hierarchical process of the set of flow fragments,based on multiple knowledge,was formally described.This can provide the sharable and reusable knowledge database and the transformation mechanism for the hierarchical Abstraction process of physical world.
作者 孙善武 王楠
出处 《吉林大学学报(理学版)》 CAS CSCD 北大核心 2011年第5期918-921,共4页 Journal of Jilin University:Science Edition
基金 吉林省科技发展计划项目(批准号:20100173) 吉林省教育厅"十一五"科学技术研究项目(批准号:2010392) 吉林省教育厅"十二五"社会科学研究项目(批准号:2011377) 吉林省教育厅"十二五"科学技术研究项目(批准号:2011463) 吉林财经大学教学研究项目(批准号:CDJB201024)
关键词 G-KRA模型 多重分层抽象 流片段 流片段组 现象不可区分 G-KRA model multiple hierarchical Abstraction flow fragment flow fragment group phenomenon-based indistinguishable
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参考文献16

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