CWEEE  Vol.3 No.3 , July 2014
An Automated Negotiation Protocol Based On Game Theory
ABSTRACT

With the goal of meeting one-to-many negotiation mechanism in the process of inter-basin water transfer, according to features of all interest subjects in analysis of inter-basin water transfer, a one-to-many synchronous bidding negotiation model based on bidding rules of game theory is structured, which analyzes and negotiates the functions, code of conduct and information expression of each subject. In order to optimize overall interests and individual interests, and a series of parameters in the negotiation, the paper propose various rules corresponding to the negotiation model so that the efficiency of each interest subject and fair distribution of negotiation proceeds can be safeguarded in the inter-basin water transfer system.


Cite this paper
Li, C. , Huang, W. , Ma, Z. , Wang, F. , Wei, X. and Xu, L. (2014) An Automated Negotiation Protocol Based On Game Theory. Computational Water, Energy, and Environmental Engineering, 3, 111-118. doi: 10.4236/cweee.2014.33012.
References
[1]   Wang, Y.S. and Yang, Y.Y. (2005) The South-North Water Diversion Project in China. Yangtze River, 36, 2-5.

[2]   Zhang, Y. and Lv, D.H. (2013) Inter-Basin Water Diversion Project Consultation Mechanism Study of Water resources Allocation, Water Conservancy Science and Technology and Economy, 19, 30-32.

[3]   Zhang, X.Y. (2008) Game Logic and Its Application Research. Nanjing University, Nanjing.

[4]   Jiang, P.F. (2007) Cooperative Game Solution and Application Research. Shandong University, JiNan.

[5]   Wu, X.M. (2008) The Theory of Static and Dynamic Game of Logic. Seeking Truth, 35, 51-55.

[6]   He, S.N. (2010) The Logical Analysis of Incomplete Information Game. Journal of Zhoukou Normal College, 27, 104-107.

[7]   Zhang, H. and He, H.C. (2006) Multiple Agent Automatic Negotiation Strategy and Algorithm. Computer Application, 26, 1935-1937.

[8]   Gao, C. and Shi, S.P. (2012) Adjustable Water Analysis of Water Diversion Project. Water Resources and Hydropower Engineering, Water Resources and Hydropower Engineering, 31, 31-32.

[9]   Wooldridge, M.J. (2000) Reasoning about Rational Agents. The MIT Press, Cambridge MA.

[10]   Liu, D.Y. and Yang, K. (2000 The Current Situation and the Development Trend of the Agent. Journal of Software, 11, 315-321.

[11]   Tardo, J. and Valente, L. (1996) Mobile agent Security and Telescript. Proceedings of 1996 IEEE COMPCON’96, Santa Clara, 58-63.

[12]   Wooldridge, M.J. (2002) An Introduction to Multiagent Systems. Wiley, Hoboken.

[13]   Yue, J.P. and Feng, S. (2009) The Computer System Application. Overview of Game Tree Search Algorithm, 9, 203-207.

[14]   Wei, X.D. (2006) Based on the Multi-Agent Eastern Fast Water Research and Simulation. Hohai University, Nanjing.

[15]   Kaveh, M. and Ariel, D. (2012) Cooperative Institutions for Sustainable Common Pool Resource Management: Application to Groundwater. Water Resources Research, 48, 1-15.

[16]   Brooks, J.P., Adeli, A. and McLaughlin, M.R. (2014) Microbial Ecology, Bacterial Pathogens, and Antibiotic Resistant Genes in Swine Manure Wastewater as Influenced by Three Swine Management Systems. Water Research, 57, 96-103.
http://dx.doi.org/10.1016/j.watres.2014.03.017

[17]   Kucukmehmetoglu, M. (2012) An Integrative Case Study Approach between Game Theory and Pareto Frontier Concepts for the Transboundary Water Resources Allocations. Journal of Hydrology, 450, 308-319.

 
 
Top