DocumentCode :
397605
Title :
Mutual-coupled immune network-based emergent computation model for supply chain formation
Author :
Ding, Yongsheng ; Ren, Lihong ; Zhang, Xiangfeng ; Gao, Lei ; Zhou, Bin
Author_Institution :
Coll. of Inf. Sci. & Technol., Donghua Univ., Shanghai, China
Volume :
1
fYear :
2003
fDate :
5-8 Oct. 2003
Firstpage :
504
Abstract :
A new bio-network model for network emergence computation based on mutual-coupled immune network hypothesis in biological immune systems is proposed. The model is useful for service emergence, which is implemented by the super-entities generated by the interaction among the bio-entities created in the bio-network architecture. The bio-entities, the super-entities, and the interaction among the super-entities are designed and implements in our bio-network simulation platform. The emergent services generated from the mutual-coupled immune network computation model can satisfy various users´ requirements. Finally, The feasibility of the model is demonstrated for the supply chain formation and reformation through computer simulation experiments on the platform. The simulation results demonstrate that the immune network model developed in our platform can be employed to complicated enterprise applications.
Keywords :
biocybernetics; supply chains; biocybernetics; bioentity; biological immune systems; bionetwork model; bionetwork simulation; complicated enterprise applications; mutual coupled immune network hypothesis; network emergence computation; super entity; supply chain formation; Application software; Biological system modeling; Biology computing; Computational modeling; Computer networks; Computer simulation; Evolution (biology); Humans; Immune system; Supply chains;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2003. IEEE International Conference on
ISSN :
1062-922X
Print_ISBN :
0-7803-7952-7
Type :
conf
DOI :
10.1109/ICSMC.2003.1243865
Filename :
1243865
Link To Document :
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