人类创新行为动力学建模
Modeling for the Dynamics of Human Innovative Behaviors
摘要：
如何促进创新活动是现代社会面临的一个重要问题。本文结合进化博弈和信息传播理论，提出了一个基于利益驱动假设的格子模型来研究人类创新行为的动力学。模拟结果表明，创新行为具有扩散缓慢、创新策略向“创新中心”聚集、创新行为具有准局域化动态等特征，这与人们对创新行为的日常认知是一致的。此外，该模型在创新状态的时空分布上也呈现出丰富的非泊松特性，包括创新释放间隔时间的标度律和创新扩散范围的双峰分布，这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测度提供了一个基本框架。
英文摘要：
How to promote the innovative activities is an important problem for modern society. In this paper, combining with the evolutionary games and 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-spacial 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 provide a basic framework on the study of the issue relevant to the evolution of human innovative behaviors and the promotion measurement of innovative activities.
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