  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.
