Search |  Contact |  SRI Home Do not follow this link, or your host will be blocked from this site. This is a spider trap. Do not follow this link, or your host will be blocked from this site. This is a spider trap. Do not follow this link, or your host will be blocked from this site. This is a spider trap.A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A ASRI International.  333 Ravenswood Avenue.  Menlo Park, CA 94025-3493. SRI International is a nonprofit corporation.

Cognitive Assistant that Learns and Organizes

CALO  Principal Investigators:  Bill Mark , Raymond C. Perrault

Mailing address:
AI Center
SRI International
333 Ravenswood Avenue
Menlo Park, CA 94025-3493

AIC Program:  

Project home page at http://caloproject.sri.com/

   Project Description

SRI International is leading the development of new software that could revolutionize how computers support decision-makers.

The Defense Advanced Research Projects Agency (DARPA), under its Perceptive Assistant that Learns (PAL) program, has awarded SRI the first two phases of a five-year contract to develop an enduring personalized cognitive assistant. DARPA expects the PAL program to generate innovative ideas that result in new science, new and fundamental approaches to current problems, and new algorithms and tools, and to yield new technology of significant value to the military.

SRI has dubbed its new project CALO, for Cognitive Agent that Learns and Organizes. The name was inspired by the Latin word "calonis", which means "soldier’s servant". The goal of the project is to create cognitive software systems, that is, systems that can reason, learn from experience, be told what to do, explain what they are doing, reflect on their experience, and respond robustly to surprise.

The software, which will learn by interacting with and being advised by its users, will handle a broad range of interrelated decision-making tasks that have in the past been resistant to automation. It will have the capability to engage in and lead routine tasks, and to assist when the unexpected happens. To focus the research on real problems and to ensure the software meets requirements such as privacy, security, and trust, the CALO project researchers will themselves use the technology during its development.

SRI is leading the multidisciplinary CALO project team, and, beyond participating in the research program, is also responsible for overall project direction and management and the development of prototypes.

The project is bringing together leading computer scientists and researchers in artificial intelligence, machine learning, natural language processing, knowledge representation, human-computer interaction, flexible planning, and behavioral studies at 22 organizations:

Boeing Phantom Works
Carnegie Mellon University
Sybase iAnywhere
Fetch Technologies, Inc.
Georgia Institute of Technology
Harvard University
Massachusetts Institute of Technology
Oregon Health & Science University
Oregon State University
Radar Networks, Inc.
Stanford University
State University of New York - Stony Brook
University of California at Berkeley
University of Massachusetts at Amherst
University of Michigan
University of Pennsylvania
University of Rochester
University of Southern California and its Information Sciences Institute
The University of Texas at Austin
University of Washington
University of West Florida’s Institute of Human and Machine Cognition
Yale University

Researchers will organize their work around the areas of learning, reasoning, planning, perception and communication.

Management Team
Lead System Integrator: Bill Mark, Ray Perrault, David Israel, Adam Cheyer, Jim Arnold, Jeffrey Davitz
Reasoning and Action: Tom Garvey, Karen Myers, Vinay Chaudhri
   Personnel

Name Title E-mail
Acharya, Girish Engineering Director
Arnold, Jim Program Director
Berry, Pauline M Alumnus
Bui, Hung H Senior Computer Scientist
Chaudhri, Vinay K Program Director
Cheyer, Adam Program Director
Conley, Kenneth W Alumnus
Connolly, Christopher I. Senior Computer Scientist
Evans, Colin Alumnus
Gervasio, Melinda Senior Computer Scientist
Ginn, Michael Alumnus
Glass, Alyssa Computer Scientist
Gutelius, David Alumnus
Hardt, Steve L Senior Software Engineer
Marker , Mei Alumnus
Martin, David L Senior Computer Scientist
Mishra, Sunil Computer Scientist
Morley, David N Alumnus
Murdock, Janet Computer Scientist
Myers, Karen L Program Director & Principal Scientist
Onalan, Ayse Alumnus
Peintner, Bart Computer Scientist
Pound, Leslie Alumnus
Rauenbusch, Timothy W Computer Scientist
Uribe, Tomas E Computer Scientist
Wolverton, Michael J Senior Computer Scientist
Yorke-Smith, Neil Computer Scientist

   Software
CALO Express
CALO Express is an effort to progressively productize functionality from the CALO System, integrating CALO functionality into your existing Microsoft Windows environment.

IRIS
IRIS is an application framework for enabling users to create a “personal map” across their office-related information objects. IRIS - Integrate. Relate. Infer. Share.

Open Agent Architecture
The Open Agent ArchitectureTM (OAA®) is a framework for integrating a community of heterogeneous software agents in a distributed environment.

SPARK: SRI Procedural Agent Realization Kit
SPARK is a Belief-Desire-Intention style agent framework grounded in a model of procedural reasoning.

Tagomizer
Tagomizer is a social bookmarking system similar to Delicious. Tagomizer is written as an application of a Subject Map Provider, TopicSpaces.

   Publications

Showing most recent 5 out of 69  [View All]

  • Peintner, B. and Dinger, J. and Rodriguez, A. and Myers, K. . Task Assistant: Personalized Task Management for Military Environments, in Twenty-first Conference on Innovative Applications of Artificial Intelligence (IAAI-09) , 2009.  [PDF, Details]

  • Garvey, T. and Gervasio, M. and Lee, T. and Myers, K. and Angiolillo, C. and Gaston, M. and Knittel, J. and Kolojejchick, J. Learning by Demonstration to Support Military Planning and Decision Making, in Proceedings of the Twenty-first Conference on Innovative Applications of Artificial Intelligence (IAAI-09), AAAI Press, July 2009.  [Details]

  • Duong, T. and Phung, D. and Bui, H. and Venkatesh, S. Efficient duration and hierarchical modeling for human activity recognition. Artificial Intelligence, vol. 173, pp. 830-856, May 2009.  [Details]

  • Madani, O. and Bui, H. and Yeh, E. Efficient online learning and prediction of users' desktop actions, in IJCAI-2009, pp. 1457-1462, 2009.  [PDF, Details]

  • Gervasio, M. T. and Murdock, J. L. What Were You Thinking? Filling in Missing Dataflow Through Inference in Learning from Demonstration, in Proceedings of the 2009 International Conference on Intelligent User Interfaces, 2009.  [PDF, Details]

SRI International
©2009 SRI International 333 Ravenswood Avenue, Menlo Park, CA 94025-3493
SRI International is an independent, nonprofit corporation. Privacy policy