Learning in a Fixed or Evolving Network of Agents

@article{Bourgne2009LearningIA,
  title={Learning in a Fixed or Evolving Network of Agents},
  author={Gauvain Bourgne and Amal El Fallah-Seghrouchni and Henry Soldano},
  journal={2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology},
  year={2009},
  volume={2},
  pages={549-556}
}
This paper investigates incremental multiagent learning in static or evolving structured networks. Learning examples are incrementally distributed among the agents, and the objective is to build a common hypothesis that is consistent with all the examples present in the system, despite communication constraints. Recently, a first mechanism was proposed to deal with static networks, but its accuracy was reduced in some topologies. We propose here several possible improvements of this mechanism… CONTINUE READING

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