The Open Automation and Control Systems Journal

2015, 7 : 421-425
Published online 2015 May 29. DOI: 10.2174/1874444301507010421
Publisher ID: TOAUTOCJ-7-421

Multi-Stage Game of Knowledge Pricing

Liu Fen , Zhang Zhigang , Zhao Lutao , Zhou Xiongfeng and Xiang Meiyu
School of Mathematics and Physics, University of Science and Technology Beijing, Beijing, 100083, P.R. China.

ABSTRACT

Knowledge pricing is a game process between buyers and sellers. Firstly, through the analysis of multi-stage knowledge pricing, this paper reaches a conclusion that the knowledge pricing game for the first stage is an incomplete and perfect dynamic game and is a complete and perfect information dynamic game for the following stages. Secondly, this paper tries to build a knowledge-priced multi-stage game model for knowledge pricing, analyzing and studying a variety of situations. By using backward induction to solve the objective function, the paper obtains some pricing criteria for sellers when the knowledge quality is different and the rules for whether the buyers choose to buy this knowledge when the knowledge pricing is different.

Keywords:

Knowledge pricing, Multistage game, Game theory.