Nonlinear Sciences – Adaptation and Self-Organizing Systems
Scientific paper
2004-07-24
Nonlinear Sciences
Adaptation and Self-Organizing Systems
19 pages, 9 figures
Scientific paper
We construct a Markov process model to describe the evolution of labor division and its dynamical behavior is investigated by numerical simulations in detail. We have shown that under the mechanism of increasing returns, the division of labor will emerge from the initial homogenous distribution and with the change of parameters there are period-adding coarse-grained bifurcations in the model. The model gives an example of emergent property in the evolution of complex systems and reveals an interesting dynamical behavior of the Markov chain process. Key words: Evolution, Bifurcation, Pattern formation PACS number(s): 87.23.-n, 89.75.Fb, 05.45.-a
Chai Lei
Chen Jiawei
Di Zengru
Wang Dahui
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