A network model of knowledge accumulation through diffusion and upgrade

Enyu Zhuang, Guanrong Chen and Gang Feng

Physica A: Statistical Mechanics and its Applications, 2011, vol. 390, issue 13, 2582-2592

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 (search for similar items in EconPapers)
Date: 2011
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Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:390:y:2011:i:13:p:2582-2592

DOI: 10.1016/j.physa.2011.02.043

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