Analysis of Combined Activity in Collaborative Information Seeking Based on Game Theory

The paper studied the game strategy decisions of alliance leader and members in collaborative information seeking. Based on basic Nash equilibrium model with complete information, it researched Bayesian-Nash equilibrium under incomplete information condition which further implied that the incompleteness of information had effected on the alliance leader’s compensation policy. Furthermore, it revealed a methodology to analyze the stability of Bayesian-Nash equilibrium and gave a detailed algorithm. It provided a framework to systematically explore the relationships between alliance leader and other members while solving work tasks in collaboration.