Amalthaea is an evolving, multiagent ecosystem for personalized filtering, discovery and monitoring of information sites. Amalthaea's primary application domain is the World-Wide-Web and its main purpose is to assist its users in finding interesting information. Two different categories of agents are introduced in the system: filtering agents that model and monitor the interests of the user and discovery agents that model the information sources. A market-like ecosystem where the agents evolve, compete and collaborate is presented: agents that are useful to the user or other agents reproduce while low-performing agents are destroyed. Results from various experiments with different system configurations and varying ratios of user interests vs agents in the system are presented. Finally issues like fine-tuning the initial parameters of the system and establishing and maintaining equilibria in the ecosystem are discussed.
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Moukas et al. (1997) studied this question.