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Research Article

Multi-agent Simulation on Original Innovations from the Knowledge Views

Meng Wang, Tao Fu and Yini Chen
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Original innovations are important for the technical progress and the economic growth of countries and constructing models to reveal their inherent factors, the interaction between those factors and their specific effects is becoming quite necessary. This paper proposed a multi-agent model on original innovations from the knowledge views. It analysed the relationships among the supporting knowledge system of the original innovation, its participators and the scientific collaboration network, designed agents’ behaviours as well as their adaption rules and simulated the model on Swarm platform. It showed that the system with very few research directions tends to have the best innovation performance. As for systems with middle or higher amount of research directions, adopting the strategy prior to adapt original innovations initiated by other researchers as well as the strategy to introduce collaborations between experts may both improve the system innovation performance. These two strategies all have their individual advantages and it cannot be stated which one is always better than the other. This multi-agent model on original innovations is operable and applicable and the deductions drawn from its simulation results can be supported by practice and may contribute to our cognition of original innovations and their improvement strategies.

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  How to cite this article:

Meng Wang, Tao Fu and Yini Chen , 2013. Multi-agent Simulation on Original Innovations from the Knowledge Views. Journal of Applied Sciences, 13: 3020-3027.

DOI: 10.3923/jas.2013.3020.3027


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