Study On The Theories And Applications Of Innovation System Based On Complexity Theory

Innovation is the main impetus to the prosperity of a country and the progress of the society. The research on innovation problems is a long task whose contents are related to times. Uncertainty and emergency can often be found in innovation actions. Researching on innovation system from the point of complexity science is very importance in both theory and practice, however, is not done sufficiently. Based on recent achievement of innovation system and using the latest complexity theories and methods, this paper provided a full and deep study on basic mechanism of innovation system and it's influences on technology and society. The main contents are as follows:1. Based on the comprehensive analysis of the fruit about innovation, it was pointed out that the development of innovation theory has direct relation to the changes of economy and society. The relations between some concepts interrelated to innovation were clarified, and the intension of innovation system was defined.2. The theories and methods researching complex system were expounded, especially complex adaptive system's theory and simulation tool-SWARM. Making use of these theories and methods the complexity of innovation system was analyzed, and it was proved that the innovation system is a complex adaptive system. Consequently, it was necessary and feasible to study innovation system by using complex adaptive system theories.3. From the view of complex adaptive system's theory, combined the theories of self-organization and evolution, the origin of technology's complexity was analyzed. It was pointed out that the reciprocity among innovation agents and the mutual adaptation between innovation system and its environment are the main reasons of innovation system's complexity. The behaviors of innovation agents were described by quantitative methods. Based on the analysis of innovation system's principle, the compound triple helix model of innovation system was proposed, and its dynamics was depicted.Integrating the status of Chinese innovation, and using SWARM-a software to study complex system-the running of innovation system was simulated. The simulation, on one hand, refined and validated our innovation theories, and proved innovation network is the best organizing mode for innovation, on the other hand4. provided scientific gist for establishing innovation policies.5. The quantificational method that applying N-K model to analyze the complexity of innovation system and evaluate its state was explained. The effects of reciprocities among innovation agents on the evolution of technology were analyzed through modeling and simulation. From researching the conditions of technology's lock-in and lock-out we found that innovation agents' innovation consciousness is the key factor in the evolution of technology.6. Based on the main principle of innovation system's complexity, the idea that reviewing innovation's effect on the development of society from both endogenous and exogenous was put forward. The calculating methods of this idea were illuminated through a case that how does the technology progress influences the structure of energy supply and demand of China.