Author(s): Praça, Isabel ; Viamonte, Maria João ; Vale, Zita ; Ramos, Carlos
Date: 2008
Persistent ID: http://hdl.handle.net/10400.22/1496
Origin: Repositório Científico do Instituto Politécnico do Porto
Subject(s): Intelligent agents; Simulation; Negotiation; Decision-making
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. The system includes agents that are capable of improving their performance with their own experience, by adapting to the market conditions, and capable of considering other agents reactions.
