Adaptive agent based modeling has been become an increasingly popular way to model systems where the basic units such as people can adapt to different conditions in the environment or due to interactions with other people or agents. Typically when modeling adaptive agents, some very simple rules are assumed for the interactions between agents and how the agents can change. Key issues in this field are to understand how very simple rules can lead to very complex static and dynamic structures. In addition, it is not known if there are any universal behaviors that seem to always emerge for certain classes of rules. Some examples of systems using adaptive agents include agents that can trade commodities to model financial markets, or agents competing for limited resources where cooperative behaviors may arise which may model the formations of groups.
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Last Modified: 5/29/02