A hybrid negotiation strategy mechanism in an automated negotiation system

ABSTRACT

This paper describes a hybrid negotiation strategy mechanism using a strategy pool framework that allows negotiation agents more flexibility and robustness in an automated negotiation system. The strategy pool framework supports: a) dynamically assigning an appropriate negotiation strategy to a negotiation agent according to the current negotiation environment and b) creating new negotiation rules by learning from past negotiations. Learning forms we use here for the framework are Feed Forward Back Propagation (FFBP) neural networks and multidimensional inter-transaction association rules mining.

REFERENCES

• 1: H. Li, J.-J. Jeng, and J.-Y. Chung. Commitment-based approach to categorizing, organizing and executing negotiation processes. In CEC, pages 12--15. IEEE Computer Society, 2003.
• 2: Hongjun Lu , Ling Feng , Jiawei Han, Beyond intratransaction association analysis: mining multidimensional intertransaction association rules, ACM Transactions on Information Systems (TOIS), v.18 n.4, p.423-454, Oct. 2000 [doi>10.1145/358108.358114]
• 3: Song Ye , Fillia Makedon , Tilmann Steinberg , Li Shen , James Ford , Yuhang Wang , Yan Zhao , Sarantos Kapidakis, SCENS: a system for the mediated sharing of sensitive data, Proceedings of the 3rd ACM/IEEE-CS joint conference on Digital libraries, May 27-31, 2003, Houston, Texas

INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
      I.2.1 Applications and Expert Systems

Additional Classification:
  K. Computing Milieux
  K.4 COMPUTERS AND SOCIETY
      K.4.4 Electronic Commerce

General Terms:
Design, Economics, Management

Keywords:
automated negotiation, data mining, neural network