Decision Making in an Agent-based Marketplace

Author

Viamonte, Maria João ; Praça, Isabel ; Ramos, Carlos ; Vale, Zita

Author_Institution

GECAD, Inst. of Eng. of Porto, Porto

fYear

2006

fDate

Nov. 28 2006-Dec. 1 2006

Firstpage

30

Lastpage

30

Abstract

This paper presents a multi-agent market simulator designed for analyzing agent market strategies based on a complete understanding of buyer and seller behaviors, preference models and pricing algorithms, considering user risk preferences and game theory for scenario analysis. This tool studies negotiations based on different market mechanisms and, time and behavior, dependent strategies. The results of the negotiations between agents are analyzed by data mining algorithms in order to extract rules that give agents feedback to improve their strategies. The system also includes agents that are capable of improving their performance with their own experience, by adapting to the market conditions, and capable of considering other agent reactions.

Keywords

data mining; decision making; game theory; multi-agent systems; pricing; data mining; decision making; game theory; multi-agent market simulator; pricing; user risk preferences; Algorithm design and analysis; Analytical models; Competitive intelligence; Consumer electronics; Data mining; Decision making; Feedback; Game theory; Knowledge engineering; Risk analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence for Modelling, Control and Automation, 2006 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on

Conference_Location

Sydney, NSW

Print_ISBN

0-7695-2731-0

Type

conf

DOI

10.1109/CIMCA.2006.79

Filename

4052677