Dynamics of human innovative behaviors
Dynamics of human innovative behaviors
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DOI：
10.1016/j.physa.2013.09.039
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发表时间：
2014-01
影响因子：
3.3
通讯作者：
Ying-Ting Lin;Xiao-Pu Han;Binghong Wang
中科院分区：
文献类型：
--
作者：
Ying-Ting Lin;Xiao-Pu Han;Binghong Wang
如何促进创新活动是现代社会面临的一个重要问题。本文将进化博弈与信息传播相结合，提出了一个基于利益驱动假设的格点模型来研究人类创新行为的动力学。模拟结果显示，创新行为的缓慢扩散、创新策略在“创新中心”的聚集、准局域动态等特征与人们对创新行为的日常认知一致。此外，该模型还在创新状态的时空格局中表现出丰富的非泊松性质，包括创新释放间隔时间的标度规律和创新传播范围的双峰分布，这些特征在人类创新行为中具有普遍性。该模型为研究人类创新行为的演化和创新活动的促进度量问题提供了一个基本框架。
How to promote the innovative activities is an important problem for modern society. In this paper, combining the evolutionary games with information spreading, we propose a lattice model to investigate dynamics of human innovative behaviors based on benefit-driven assumption. Simulations show several properties in agreement with peoples’ daily cognition on innovative behaviors, such as slow diffusion of innovative behaviors, gathering of innovative strategy on “innovative centers”, and quasi-localized dynamics. Furthermore, our model also emerges rich non-Poisson properties in the temporal–spatial patterns of the innovative status, including the scaling law in the interval time of innovation releases and the bimodal distributions on the spreading range of innovations, which would be universal in human innovative behaviors. Our model provides a basic framework on the study of the issues relevant to the evolution of human innovative behaviors and the promotion measurement of innovative activities.