Title :
A one-to-many Paralleling Negotiation Model and its Paralleling Negotiation Course in Speculative Computation
Author :
Wang, Li-Ming ; Chai, Yu-Mei ; Huang, Hou-Kuan
Author_Institution :
School of Information Engineering, Zhengzhou University, Zhengzhou 450052, China; School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China; E-MAIL: ielmwang@zzu.edu.cn
Abstract :
Paralleling negotiation can improve efficiency of negotiation on a large scale. Speculative computation is a course for making decision under incomplete information in multi-agent systems. This paper combines the paralleling negotiation with speculative computation for obtaining resource paid service in advance. One-to-many paralleling negotiation can provide making decision for resource in advance in speculative computation with data. Extension of speculative computation model into covering multi-process paralleling negotiation is presented. Multi-issue negotiation model based on belief-revision is presented, and multi-process paralleling negotiation course based on the two models is presented. Buyer can perform speculative computation based on negotiation results and utility distance of active processes. Finally, the experiment proves the models and paralleling negotiation course are valid.
Keywords :
Speculative computation; agent; multi-issue; negotiation course; paralleling negotiation; Artificial intelligence; Computational modeling; Concurrent computing; Consumer electronics; IP networks; Information technology; Large-scale systems; Mobile agents; Multiagent systems; Yarn; Speculative computation; agent; multi-issue; negotiation course; paralleling negotiation;
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
DOI :
10.1109/ICMLC.2005.1526935
