TY - GEN
T1 - An evolutionary game model of organizational routines on complex networks
AU - Gao, Dehua
AU - Deng, Xiuquan
AU - Bai, Bing
PY - 2013
Y1 - 2013
N2 - Organizational routines are collective phenomena with multiple actors involved in. In this paper, we introduce the evolutionary game theory into the study of organizational routines, and build up an evolutionary game model of organizational routines on complex networks. On the bases of this model, we provide a multi-agent based simulation via Swarm package. The results of our research show that: the evolutionary game theory - with the aid of multi-agent simulation as well - can afford us a general framework for formalized quantitative analysis, and provide an absolutely novelty directions for the researches of organizational routines based on mathematical methods.
AB - Organizational routines are collective phenomena with multiple actors involved in. In this paper, we introduce the evolutionary game theory into the study of organizational routines, and build up an evolutionary game model of organizational routines on complex networks. On the bases of this model, we provide a multi-agent based simulation via Swarm package. The results of our research show that: the evolutionary game theory - with the aid of multi-agent simulation as well - can afford us a general framework for formalized quantitative analysis, and provide an absolutely novelty directions for the researches of organizational routines based on mathematical methods.
KW - agent-based simulation
KW - evolutionary game theory
KW - individual habits
KW - organizational routines
KW - small-world network
UR - https://www.scopus.com/pages/publications/84884876378
U2 - 10.1007/978-3-642-38703-6_64
DO - 10.1007/978-3-642-38703-6_64
M3 - 会议稿件
AN - SCOPUS:84884876378
SN - 9783642387029
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 548
EP - 555
BT - Advances in Swarm Intelligence - 4th International Conference, ICSI 2013, Proceedings
T2 - 4th International Conference on Advances in Swarm Intelligence, ICSI 2013
Y2 - 12 June 2012 through 15 June 2012
ER -