The pricing strategies for agents in real e-commerce

  • Authors:
  • Wang Xianjia;Chen Yalin;Zhu Wenqi

  • Affiliations:
  • The Institute of System Engineering, Wuhan University, Hubei, China;The Institute of System Engineering, Wuhan University, Hubei, China;Research Department, Tencent Inc., Guandong, China

  • Venue:
  • WINE'05 Proceedings of the First international conference on Internet and Network Economics
  • Year:
  • 2005

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Abstract

The paper presents the pricing strategies for automatic agent, which is design for e-commerce in the reality. Given the characters of e-commerce in reality, the paper firstly model the bargaining process; Secondly classify the bargaining scenarios and present the optimal bargaining strategy under sub-incomplete information for corresponding bargaining scenarios; then extend them to the optimal pricing strategies under incomplete information condition; Thirdly, discuss the conditions for convergence of optimal strategy; Finally, the analysis shows that the bargaining strategic profiles form the sequential equilibrium and the agreement is unique under certain conditions.