A network model of knowledge accumulation through diffusion and upgrade

被引：24

作者：

Zhuang, Enyu ^{[1
]}

Chen, Guanrong ^{[2
]}

Feng, Gang ^{[1
]}

机构：

[1] City Univ Hong Kong, Dept Mfg Engn & Engn Management, Hong Kong, Hong Kong, Peoples R China

[2] City Univ Hong Kong, Dept Elect Engn, Hong Kong, Hong Kong, Peoples R China

来源：

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | 2011年 / 390卷 / 13期

关键词：

Knowledge accumulation; Knowledge diffusion; Knowledge upgrade; Multi-agent network; COMPLEX NETWORKS; SYSTEMS;

D O I：

10.1016/j.physa.2011.02.043

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

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. (C) 2011 Elsevier B.V. All rights reserved.

引用

页码：2582 / 2592

页数：11

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