Accepted papers
Proceedings
Proceedings of the conference have been published as the volume 564 of the Lecture Notes in Economics and Mathematical Systems serie published by Springer under the ISBN number 3-540-28578-4.
It is possible to buy this book directly on the Springer Online website.
The ae2005.bib file contains all references of all contributions in BIBTeX format.
Contributions
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Stock price dynamics in an artificial multi-agent stock market with heterogeneous investors
[Slides] [BIBTeX] -
Collective Efficiency in Two-Sided Matching
[Slides] [BIBTeX] -
Learning in a continuous double auction market
[Slides] [BIBTeX] -
Market Failure Caused by Quality Uncertainty
[Slides] [BIBTeX] -
Learning and the Price Dynamics of a Double-Auction Financial Market with Portfolio Traders
[Slides] [BIBTeX] -
The implications of case-based reasoning in strategic contexts
[Slides] [BIBTeX] -
A model of Myerson-Nash equilibria in networks
[Slides] [BIBTeX] -
Emergence of a self-organized dynamic fishery sector : application to simulation of the small-scale fresh fish supply chain in Senegal
[Slides] [BIBTeX] -
Time Series Properties from an Artificial Stock Market with a Walrasian Auctioneer
[Slides] [BIBTeX] -
Multi-agent model of trust in a human game
[Slides] [BIBTeX] -
Complex dynamics and empirical evidence
[BIBTeX] -
Noisy trading in the large market limit
[Slides] [BIBTeX] -
Firms adaptation in dynamic economic systems
[Slides] [BIBTeX] -
How Do Differences among Order Distributions Affect the Rate of Investment Returns and Contract Rate
[Slides] [BIBTeX] -
A Counterexample for the Bullwhip Effect in a Supply Chain
[Slides] [BIBTeX] -
The precariousness of multi-agents simulation results - the example of reinforcement learning in the Ultimatum game
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Emergence in multi-agents systems : cognitive hierarchy, detection, and complexity reduction
[BIBTeX] -
Market dynamics and agents behaviors : a computational approach
[Slides] [BIBTeX] -
Firm Size Dynamics in a Cournot Computational Model
[Slides] [BIBTeX] -
Traders imprint themselves by adaptively updating their own avatar
[Slides] [BIBTeX]