Title :
SIMPLE - a multi-agent system for simultaneous and related auctions
Author_Institution :
Departamento de Informatica, Rua Marques de Sao Vicente, Rio de Janeiro, Brazil
Abstract :
This work describes a multi-agent architecture and strategy for trade in simultaneous and related auctions. The proposed SIMPLE Agency combines an integer programming model, machine learning techniques and knowledge engineering strategies to build its decision making process. Some well known problems in trading were identified in order to design the architecture. Each SIMPLE agent is concerned with one of the trading subproblems. This makes it possible to apply different computational techniques to solve each subproblem separately and then combine their solutions. The Trading Agent Competition (TAC) is used to illustrate and test our approach. SIMPLE shows high performance on competitive scenarios using the TAC server environment.
Keywords :
electronic commerce; home shopping; integer programming; knowledge engineering; learning (artificial intelligence); multi-agent systems; negotiation support systems; travel industry; SIMPLE Agency; Trading Agent Competition; decision making process; integer programming; knowledge engineering; machine learning; multiagent architecture; multiagent system; related auction; server environment; simultaneous auction; trade; trading subproblem; Computer architecture; Computerized monitoring; Decision making; Game theory; Knowledge engineering; Linear programming; Machine learning; Multiagent systems; Packaging; Testing;
Conference_Titel :
Intelligent Agent Technology, 2003. IAT 2003. IEEE/WIC International Conference on
Print_ISBN :
0-7695-1931-8
DOI :
10.1109/IAT.2003.1241133
