Title :
Knowledge Sharing within Innovation Network Members with Netlogo Simulation Platform
Author :
Ruan Guoxiang ; Ruan Pingnan
Author_Institution :
Sch. of Manage., Shandong Inst. of Bus. & Technol., Yantai, China
Abstract :
The efficient knowledge sharing is the key element for innovation network\´s success. The strategies are classified as "sharing", "no-sharing" and "retaliation". The game model of knowledge sharing is set up in terms of the evolutionary game theory. The simulation model is constructed with the Net logo software platform which is efficient in multi-agent simulation. By modeling and simulation, the evolutionary game equilibrium status of knowledge sharing is analyzed according to different payoff value. The result demonstrates that communication, trust and punishment are all important governance mechanisms for knowledge sharing in innovation network.
Keywords :
evolutionary computation; game theory; knowledge management; multi-agent systems; Netlogo simulation platform; Netlogo software platform; evolutionary game equilibrium status; evolutionary game theory; game model; innovation network members; knowledge sharing; multiagent simulation; Analytical models; Economics; Educational institutions; Game theory; Games; Knowledge engineering; Technological innovation; Netlogo; evolutionary game; innovation network; knowledge sharing; retaliation strategy;
Conference_Titel :
Information Technology, Computer Engineering and Management Sciences (ICM), 2011 International Conference on
Conference_Location :
Nanjing, Jiangsu
Print_ISBN :
978-1-4577-1419-1
DOI :
10.1109/ICM.2011.86