Title :
An auction-based multi-agent system model with variable use-factor
Author :
Ma, Yu-lan ; Li, Bang-qing
Author_Institution :
Dept. of Math. & Phys., Beijing Technol. & Bus. Univ., Beijing
Abstract :
Agents often need to work together and achieve their common and individual goals under the environment where there are limited or scarce resources. How to allocate these resources efficiently is critical in proceeding of cooperation and competition. Auction-based method is often adopted in the settings. This paper presents an improved mathematically computable model based auction theory by introducing a variable use-factor. In this model, there is a seller agent with multi-item goods to sell while many buyer agents want to buy the goods. By analyzing optional bidding and numerical computing, it is found that the variable use-factor influences obviously the agentspsila utility and bidding. This model is beneficial for the future mechanisms design both in agent-based software engineering and various distributed system, especially Internet-based commerce applications.
Keywords :
electronic commerce; multi-agent systems; auction-based allocation; auction-based multiagent system; optional bidding; variable use-factor; Application software; Cybernetics; Game theory; Humans; Internet; Machine learning; Mathematical model; Mathematics; Multiagent systems; Resource management; Auction-based allocation; Multi-agent system; Use-factor; Utility function;
Conference_Titel :
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-2095-7
Electronic_ISBN :
978-1-4244-2096-4
DOI :
10.1109/ICMLC.2008.4620532