Paper Info
Title
An Information Market for Multi-agent Decision Making: Observations from a Human Experiment
Abstract
Intelligent decision support systems increasingly embrace agent-based mechanisms to cope with decentralized decision problems. In this paper, we focus on the economic market model commonly used as a blueprint for the design of autonomous multi-agent systems. We present an experimental information market in which the human traders have only limited information. We analyze the traders' private preferences and their actual behavior in the market as they exchange and acquire information. We observe that while the traders' individual preferences show a consistent deliberative pattern throughout the market experiment, their actual decision behavior in the market appears to be reactively driven by the decisions of the other traders. These observations from human traders may have important implications for the design of market-oriented multi-agent systems to address decision problems characterized by incomplete information.
Year
DOI
Venue
2003
10.1007/978-3-540-45226-3_10
LECTURE NOTES IN COMPUTER SCIENCE
Keywords
Field
DocType
multi agent system,incomplete information,intelligent decision support system,decision problem
Decision analysis,Management information systems,Intelligent decision support system,Computer science,Decision support system,Knowledge management,Business decision mapping,R-CAST,Information market,Complete information
Conference
Volume
ISSN
Citations 
2774
0302-9743
3
PageRank 
References 
Authors
0.63
10
2
Name
Order
Citations
PageRank
Bartel Van de Walle134349.52
Mihai Moldovan2563.33