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A network model of knowledge accumulation through diffusion and upgrade
Authors:Enyu Zhuang  Guanrong Chen
Affiliation:
  • a Department of Manufacturing Engineering and Engineering Management, City University of Hong Kong, Hong Kong, China
  • b Department of Electronic Engineering, City University of Hong Kong, Hong Kong, China
  • Abstract:In this paper, we introduce a model to describe knowledge accumulation through knowledge diffusion and knowledge upgrade in a multi-agent network. Here, knowledge diffusion refers to the distribution of existing knowledge in the network, while knowledge upgrade means the discovery of new knowledge. It is found that the population of the network and the number of each agent’s neighbors affect the speed of knowledge accumulation. Four different policies for updating the neighboring agents are thus proposed, and their influence on the speed of knowledge accumulation and the topology evolution of the network are also studied.
    Keywords:Knowledge accumulation   Knowledge diffusion   Knowledge upgrade   Multi-agent network
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