Title :
Swarm Simulation Model of Multi-Agent Evolutionary Game in the Process of Product Innovation of Sports Goods Industry
Author :
Chuan-an, Liu ; Jinhai, Sun
Author_Institution :
Shandong Youth Univ. of Political Sci., Jinan, China
Abstract :
According to the think of multi-agent evolutionary game base on Swarm, the evolutionary game simulation model under incomplete information market is presented. The mode characterized the evolutionary game process in which corporation continually modifies its behavior rule using the obtained information. In the model, the need of the conventional products, products of self-directed innovation and imitation innovation products is decided on the demand of consumer is utility functions, the product quality and the price is. The model regards the latent competitors as a colony and corporations choose independent innovation or imitation innovation strategy can be treated a probability.
Keywords :
evolutionary computation; game theory; innovation management; multi-agent systems; sport; utility theory; imitation innovation products; incomplete information market; independent innovation strategy; multiagent evolutionary game simulation model; product innovation process; product quality; self-directed innovation products; sports goods industry; swarm simulation model; utility functions; Adaptive systems; Companies; Computational modeling; Games; Industries; Mathematical model; Technological innovation; Evolutionary game; Products Innovation; Sports goods enterprises; Swarm simulation;
Conference_Titel :
Future Computer Science and Education (ICFCSE), 2011 International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4577-1562-4
DOI :
10.1109/ICFCSE.2011.65