Subscribe Now Subscribe Today
Research Article
 

Multi-agent Simulation on Original Innovations from the Knowledge Views



Meng Wang, Tao Fu and Yini Chen
 
ABSTRACT

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.

Services
Related Articles in ASCI
Similar Articles in this Journal
Search in Google Scholar
View Citation
Report Citation

 
  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

URL: https://scialert.net/abstract/?doi=jas.2013.3020.3027

REFERENCES
Arthur, W.B., 2007. The structure of invention. Res. Policy, 36: 274-287.
CrossRef  |  Direct Link  |  

Chen, J., F.Z. Yu, L. Tong and J.H. Xie, 2005. The quantitative research of university original technological innovation: Based on Chinese university study. Proceedings of the IEEE International Engineering Management Conference, Vol. 2., September 11-13, 2005, Canada, pp: 751-755.

Chen, Y.L., L.S. Han, J.X. Wang and X.L. Zeng, 2003. The research on the main factors and the evolving mechanism of original innovation. Stud. Sci. Sci., 21: 433-437.

Goldenberg, J., D. Mazursky and S. Solomon, 1999. Templates of original innovation: Projecting original incremental innovations from intrinsic information. Technol. Forecast. Soc. Chang., 61: 1-12.
CrossRef  |  Direct Link  |  

Lee, N. and A. Rodriguez-Pose, 2013. Original innovation, learnt innovation and cities: Evidence from UK SMEs. Urban Stud., 50: 1742-1759.
CrossRef  |  Direct Link  |  

Leicht, E.A. and R.M. D'Souza, 2009. Percolation on interacting networks. http://arxiv.org/abs/0907.0894

Shu, C.L. and S.X. Gao, 2008. The generating mechanism of original innovation:From the knowledge creation perspective. Stud. Sci. Sci., 26: 640-645.
Direct Link  |  

Yixin, L., 2011. On the connotation and evaluation of original innovation. Energy Procedia, 5: 643-646.
CrossRef  |  Direct Link  |  

Zhu, Z.M., J.S. Li and T. Chen, 2012. Research on evolution mechanism of technological original innovation-with mutation theory of respective. J. Serv. Sci. Manage., 5: 28-36.
CrossRef  |  

Zucker, L.G., M. Darby, J. Furner, R.C. Liu and H. Ma, 2007. Minerva unbound: Knowledge stocks, knowledge flows and new knowledge production. Res. Policy, 36: 850-863.
Direct Link  |  

©  2019 Science Alert. All Rights Reserved