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基于WFPN和多Agent黑板模型的PAAIS知识处理研究
引用本文:张墨华,李戈. 基于WFPN和多Agent黑板模型的PAAIS知识处理研究[J]. 微电子学与计算机, 2006, 23(1): 108-110,114
作者姓名:张墨华  李戈
作者单位:1. 河南财经学院计算机科学系,河南,郑州,450002;西北工业大学计算机学院,陕西,西安,710072
2. 华北水利水电学院水利职业学院信息工程系,河南,郑州,450008
摘    要:驾驶员辅助决策人工智能系统(PAAIs)是辅助飞机驾驶员进行决策的智能系统,其核心是知识处理。文章采用黑板模型与多Agent技术相结合来构建PAAIS的知识处理架构,以加权模糊Petri网(WFPN)进行模糊知识表示,并提出有效的模糊推理算法。

关 键 词:驾驶员辅助决策  模糊知识表示  加权模糊Petri网  多Agent的黑板模型
文章编号:1000-7180(2005)01-108-03
收稿时间:2005-03-28
修稿时间:2005-03-28

Research on Knowledge Processing of PAAIS Based on WFPN and Multi-agent Blackboard Architecture
ZHANG Mo-hua,LI Ge. Research on Knowledge Processing of PAAIS Based on WFPN and Multi-agent Blackboard Architecture[J]. Microelectronics & Computer, 2006, 23(1): 108-110,114
Authors:ZHANG Mo-hua  LI Ge
Abstract:PAAIS is the Intelligent System, which provides assistance to the pilot. Knowledge processing is the core of PAAIS. This paper uses the multi-agent blackboard architecture to construct the architecture of knowledge processing in PAAIS. Fuzzy knowledge representation in PAAIS is based on Weighted Fuzzy Petri Net(WFPN). A fuzzy knowledge reasoning algorithm based on WFPN is also presented.
Keywords:Pilot pssistance   Fuzzy knowledge representation   Weighted fuzzy Petri Net   Multi-agent blackboard architecture
本文献已被 CNKI 维普 万方数据 等数据库收录!
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