DA-MAOS: A Double Auction Multi-Agent
Open-Source Platform for Market Experimentation

Last Updated: 29 December 2011

Site maintained by:
Nanpeng Yu
PhD Graduate of Iowa State University
eric.ynp AT gmail.com

Agent-Based Computational Economics (ACE)

DA-MAOS is a test bed developed by Nanpeng Yu and Ian Guffy (Iowa State University) for the simulation of double-auction markets with heterogeneous traders who learn to make their bids and offers over time. Trader reservation values are either fixed at user-specified values or randomly determined. DA-MAOS is programmed in Java making use of the RepastJ toolkit. DA-MAOS provides a graphical user interface (GUI) that allows users to conduct a wide variety of experiments under alternative user-specified conditions.

Software Release Disclaimer: The DA-MAOS software, provided below, is unsupported and provided as-is, without warranty of any kind.

Table of Contents for Detailed DA-MAOS Description Page: