Evolutionary Games analysis of Dynamic Knowledge Interaction in a Knowledge Team

Author

Jing, Ma ; Zhigen, Fang ; Qv, Li

Author_Institution

Coll. of Econ. & Manage., Nanjing Univ. of Aeronaut. & Astronaut.

Volume

1

fYear

2006

Firstpage

145

Lastpage

150

Abstract

The creation of new knowledge depends upon the co-evolution and interaction of human with knowledge networks. Knowledge workers more often take "knowledge interaction" as their purpose. In this paper, by using the game theory, the characteristics of knowledge trading behavior among individual agents in a knowledge dynamic interaction system is studied. Basing the evolutionary games chain structure, an analytic model of a continuous dynamic knowledge interaction behavior is founded and its possible evolution trends is discussed. Finally, the evolutionary stable strategies of knowledge transactions among individual agents in knowledge network via simulation is identified. That is directively meaningful for us to spirit up employees and have a good command of dynamic regulation of a shared knowledge

Keywords

game theory; knowledge management; team working; evolutionary games chain structure; game theory; individual agents; knowledge dynamic interaction system; knowledge networks; knowledge team; knowledge trading behavior; knowledge transactions; knowledge workers; new knowledge creation; Abstracts; Accelerated aging; Aerodynamics; Costs; Educational institutions; Electronic switching systems; Game theory; Humans; Knowledge management; Silicon; ESS; Evolutionary Game; Knowledge Interaction; Knowledge Management;

fLanguage

English

Publisher

ieee

Conference_Titel

Service Systems and Service Management, 2006 International Conference on

Conference_Location

Troyes

Print_ISBN

1-4244-0450-9

Electronic_ISBN

1-4244-0451-7

Type

conf

DOI

10.1109/ICSSSM.2006.320603

Filename

4114423