Amalthaea Information Discovery and Filtering Using a Multiagent Evolving Ecosystem

@article{Moukas1997AmalthaeaID,
  title={Amalthaea Information Discovery and Filtering Using a Multiagent Evolving Ecosystem},
  author={Alexandros Moukas},
  journal={Applied Artificial Intelligence},
  year={1997},
  volume={11},
  pages={437-457}
}
Agents are semi-intelligent programs that assist the user in performing repetitive and time-consuming tasks. Information discovery and information ltering are a suitable domain for applying agent technology. Ideas drawn from the eld of autonomous agents and artiicial life are combined in the creation of an evolving ecosystem composed of competing and cooperating agents. A co-evolution model of information ltering agents that adapt to the various user's interests and information discovery agents… CONTINUE READING
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