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Publication Details
Proactive Behavior of a Personal Assistive Agent by Myers, K. L. and Yorke-Smith, N. in Proceedings of the AAMAS Workshop on Metareasoning in Agent-Based Systems pp. 31-45
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Address: Honolulu, HI
May 2007.
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The increased scope and complexity of tasks that people perform as part
of their routine work has led to growing interest in the development of
intelligent personal assistive agents that can aid a human in managing
and performing tasks. As part of their operation, such agents should be
able to anticipate user needs, opportunities, and problems, and then act
on their own initiative to address them. We characterize the properties
desired for behavior of this type, and present a
BDI-based agent cognition model designed to support proactive assistance.
Our model for proactive assistance employs a meta-level layer to
identify potentially helpful actions and determine when it is appropriate
to perform them. We conclude by identifying technical challenges in
developing systems that embody proactive behaviors.
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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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