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 AIC Home   >   People   >   Dr Melinda Gervasio
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Dr Melinda Gervasio

Senior Computer Scientist
Artificial Intelligence Center

SRI International
Room EJ205
333 Ravenswood Avenue
Menlo Park, CA 94025-3493
USA

Phone:  (650) 859-4411
Fax:  (650) 859-3735

Email: 

Home Page: http://www.ai.sri.com/~gervasio

   Current Projects

CALO

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).
 

Integrated Learning

Integrated Learning
The Integrated Learning project is focused on developing machine learning technology that would enable a system to learn general planning knowledge from user demonstrations of processes.
 

   Publications

The following are in reverse chronological order of publication.

Showing most recent 5 out of 10  [View All]

  • Gervasio, M. and Myers, K. L. Question Asking to Inform Procedure Learning, in Proceedings of the AAAI-08 Workshop "Metarereasoning: Thinking about Thinking", July 2008.  [PDF, Details]

  • Gervasio, M. and Lee, T. J. and Eker, S. Learning Email Procedures for the Desktop, in AAAI 2008 Workshop on Enhanced Messaging, Chicago, IL, July 2008.  [PDF, Details]

  • Berry, P. M. and Gervasio, M. and Peintner, B. and Yorke-Smith, N. A Preference Model for Over-Constrained Meeting Requests, in Proceedings of AAAI 2007 Workshop on Preference Handling for Artificial Intelligence, Vancouver, Canada, pp. 7–14, Jul 2007.  [PDF, Details]

  • Berry, P. and Gervasio, M. and Peintner, B. and Yorke-Smith, N. Balancing the Needs of Personalization and Reasoning in a User-Centric Scheduling Assistant, Technical Note 561. Artificial Intelligence Center, SRI International, 333 Ravenswood Ave, Menlo Park, CA 94025, Feb 2007.  [PDF, Details]

  • Berry, P. and Conley, K. and Gervasio, M. and Peintner, B. and Uribe, T. and Yorke-Smith, N. Deploying a Personalized Time Management Agent, in Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS’06) Industrial Track, Hakodate, Japan, pp. 1564-1571, May 2006.  [PDF, Details]

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