Abstract
The interaction among various agents of industrial cluster is an important factor which transfers the initial innovation into cluster knowledge. The asymmetry influence functions among agents were given by defining uncertainty of agent’s attitude and trust factor. Based on these functions, an Agent simulation model of cluster knowledge emergence was realized. The simulation results show this Agent model is reasonable and effective. The analysis of simulation results lead to conclusions as follows: The uncertainty of agent’s attitudes and trust factors are important factors to impact cluster knowledge final emergence’s form and speed.
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Tian, X., Jiang, H., Zha, J., Li, L. (2013). Study on Industrial Cluster Knowledge Emergence Model Based on Asymmetric Influence. In: Lu, W., Cai, G., Liu, W., Xing, W. (eds) Proceedings of the 2012 International Conference on Information Technology and Software Engineering. Lecture Notes in Electrical Engineering, vol 210. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34528-9_8
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DOI: https://doi.org/10.1007/978-3-642-34528-9_8
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