Bridging Humans Via Agent Networks

Toru Ishida

This paper proposes an architecture of agent networks, where each agent learns the preferences (or the utility function) of the owner and acts behalf of the owner in maintaining his/her organizations. This architecture is especially useful when the organizing/reorganizing decisions are not critical (suboptimal decisions permitted), but manually laborious.

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