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How to promote the innovative activities is an important problem for modernsociety. In this paper, combining with the evolutionary games and informationspreading, we propose a lattice model to investigate dynamics of humaninnovative behaviors based on benefit-driven assumption. Simulations showseveral properties in agreement with peoples' daily cognition on innovativebehaviors, such as slow diffusion of innovative behaviors, gathering ofinnovative strategy on "innovative centers", and quasi-localized dynamics.Furthermore, our model also emerges rich non-Poisson properties in thetemporal-spacial patterns of the innovative status, including the scaling lawin the interval time of innovation releases and the bimodal distributions onthe spreading range of innovations, which would be universal in humaninnovative behaviors. Our model provide a basic framework on the study of theissue relevant to the evolution of human innovative behaviors and the promotionmeasurement of innovative activities.

Modeling for the Dynamics of Human Innovative Behaviors