Emergence: from chaos to order
Emergence: from chaos to order
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Multi-Agent Simulation of Virtual Consumer Populations in a Competitive Market
SCAI '01 Proceedings of the Seventh Scandinavian Conference on Artificial Intelligence
Stock Prices and Volume in an Artificial Adaptive Stock Market
IWANN '93 Proceedings of the International Workshop on Artificial Neural Networks: New Trends in Neural Computation
The MADKIT Agent Platform Architecture
Revised Papers from the International Workshop on Infrastructure for Multi-Agent Systems: Infrastructure for Agents, Multi-Agent Systems, and Scalable Multi-Agent Systems
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In this paper, we study the stock market trading behavior and the interactions between traders. We propose a novel model which includes behavioral and cognitive attitudes of the trader at the micro level and explains their effects on his decision making at the macro level. The proposed simulator is composed of heterogeneous Trader agents with a behavioral cognitive model and the CentralMarket agent matching buying and selling orders. Our artificial stock market is implemented using distributed artificial intelligence techniques. The resulting simulation system is a tool able to numerically simulate financial market operations in a realistic way. Experiments show that representing the micro level led us to validate some stylized facts related to stock market and to observe emergent socio-economic phenomena at the macro level.