Multi-Criteria Evaluation in User-Centric Distributed Scheduling Agents
by Berry, P.M. and Gervasio, M. and Peintner, B. and Uribe, T. and Yorke-Smith, N.
in Proceedings of AAAI Spring Symposium on Distributed Plan and Schedule Management pp. 151–152,
Published by AAAI Press Address: Stanford, CA Organization: AAAI Mar 2006.
Abstract
This position paper discusses the problem of locally evaluating and comparing candidate schedules, in the context of a distributed scheduling task operating in unbounded environments in which each agent selfishly serves the desires and preferences of its own user.
Cognitive Assistant that Learns and Organizes
As part of DARPA’s Perceptive Agent that Learns (PAL) program, SRI and team members are working on developing a next-generation "Cognitive Agent that Learns and Organizes" (CALO).
