Study of Artificial Financial Markets with Adaptive Trading Agents
نویسنده
چکیده
Motivation: In the past years, we and others have developed some basic families of algorithmic components for coping with multiple aspects of learning. It is natural to probe directly into the evolution of intelligence and learning mechanisms and into the problem of distributed intelligence such as collective learning, coordination and competition. In this project, we focus on an agent-based modeling of artificial markets: how software agents endowed with learning abilities might interact, co-evolve, and cooperate in societies of learning agents.
منابع مشابه
Multiple Market-Maker Behavior in Artificial Financial Markets
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