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Publication Details
Bringing the User Back into Scheduling: Two Case Studies of Interaction with Intelligent Scheduling Assistants by Berry, P. and Peintner, N. and Yorke-Smith, N. in Proceedings of AAAI Spring Symposium on Interaction Challenges for Artificial Assistants pp. 10–12,
Published by AAAI Press
Address: Stanford, CA
Organization: AAAI
Mar 2007.
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This position paper discusses the scheduling problem as collaboration between human and automated scheduling assistant. We compare two recent scheduling systems we have developed at SRI that both involve and enable the user in the scheduling process. While embedding fully automated scheduling algorithms, these assistant systems go beyond decision-aids. They work with and in service of their user to jointly solve the scheduling problem.
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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).
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Neptune
A user-centric, integrated planning and scheduling system that assists the user in exploring the rich space of plans and associated resource assignment options in complex, real-world domains. Each component of the system (user, planner, and scheduler) reacts to the actions of the other, resolving conflicts, and iteratively refining the solution until acceptable.
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