Simulating the Evolution Process of Industrial Clusters Innovation Networks

The thesis, based on complexity adaptive system theory, simulates the evolvement process of industrial clusters innovation network by making use of simulation means. It is shown that innovation agents adjust constantly action rules themselves in order to adapt to the circumstance, which results in the emergence of innovation network. At the same time, some complications, knowledge difference and the extent of specialization of innovation agents and the means knowledge is transferred, are influencing weightily the evolvement.