A learning-based multistage negotiation model

Author

Wang, Li-Ming ; Huang, Hou-Kuan ; Chai, Yu-Mei

Author_Institution

Sch. of Comput. & Inf. Technol., Beijing Jiaotong Univ., China

Volume

1

fYear

2004

fDate

26-29 Aug. 2004

Firstpage

140

Abstract

This work presents a learning-based multistage model for multi-issue negotiation with deadline in an incomplete information setting based on intentional agents. The model describes negotiation over the price of multi-issue. It decomposes multi-issue negotiation into multistage negotiation, and each stage has the same size. The order and number of stages are decided exogenously, and the order of issues in each stage is decided endogenously. The optimal negotiation agenda for a given decomposition of the bargaining problem based on the same size of stages is presented. In particular, the model also supports the learning capability of participating agents by building a learning system (LS) for them.

Keywords

electronic commerce; learning systems; multi-agent systems; bargaining problem; intentional agents; learning system; learning-based multistage negotiation model; optimal negotiation agenda; Bayesian methods; Consumer electronics; Contracts; Decision making; Electronic mail; Information technology; Learning systems; Packaging; Performance analysis; Protocols;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on

Print_ISBN

0-7803-8403-2

Type

conf

DOI

10.1109/ICMLC.2004.1380633

Filename

1380633