Computer Science ›› 2014, Vol. 41 ›› Issue (8): 101-105.doi: 10.11896/j.issn.1002-137X.2014.08.022

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Attribute Granular Reasoning Based on Attribute Petri Net

ZHOU Ru-qi and FENG Jia-li   

  • Online:2018-11-14 Published:2018-11-14

Abstract: To deal with the uncertain knowledge is often encountered in artificial intelligence research.Attribute Petri net model based on qualitative mapping has the advantages of a dynamic representation of uncertainty knowledge and logical reasoning in cognitive thinking.The basic definition and basic reasoning of attribute granular were given in the property topological space in this paper.Uncertainty knowledge can be expressed with the attribute granular in attribute Petri net.Finally,the basic form and basic algorithm of resolution reasoning were given in attribute Petri net.The results show that this method can make qualitative mapping and Petri net to more dynamically explicit expression of the cognitive uncertainty knowledge,and it can also provide a reference for further study of Petri net in the cognitive model.

Key words: Qualitative mapping,Petri net,Granular computing,Knowledge representation,Resolution reasoning

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