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Cognitive Assistant that Learns and Organizes

CALO  Principal Investigators:  William Mark , Raymond Perrault

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

AIC Program:  AIC

Project home page at

   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

Name Title E-mail
Acharya, Girish Engineering Director
Appelt, Doug E Alumnus
Arnold, Jim Program Director
Berry, Pauline M Alumnus
Bui, Hung H Senior Computer Scientist
Chaudhri, Vinay K Program Director
Cheyer, Adam Former Program Director
Conley, Kenneth W Alumnus
Connolly, Christopher I Principal Scientist
Evans, Colin Alumnus
Gervasio, Melinda Principal Scientist
Ginn, Michael Alumnus
Glass, Alyssa Computer Scientist
Gutelius, David Alumnus
Hardt, Steve L Alumnus
Harris, Zaz Alumnus
Jarrold, William Alumnus
Marker , Mei Alumnus
Martin, David L Alumnus
Mishra, Sunil Computer Scientist
Morley, David N Alumnus
Murdock, Janet Senior Computer Scientist
Myers, Karen Lab Director & Principal Scientist
Onalan, Ayse Alumnus
Peintner, Bart Sr. Computer Scientist
Pound, Leslie Alumnus
Rauenbusch, Timothy W Computer Scientist
Thomere, Jerome F Computer Scientist
Tyson, Mabry Senior Computer Scientist
Uribe, Tomas E Computer Scientist
von Hessling, Andreas Alumnus
Wolverton, Michael J Senior Computer Scientist
Yin, Min Senior Software Engineer
Yorke-Smith, Neil Computer Scientist
Yu, Jiye Computer Scientist

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 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.

PAL Framework
PAL (Personalized Assistant that Learns) Framework website.

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

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


Showing most recent 5 out of 81  [View All]

  • Yorke-Smith, N. and Saadati, S. and Myers, K. and Morley, D. The Design of a Proactive Personal Agent for Task Management. International Journal on Artificial Intelligence Tools, vol. 21, no. 1, pp. 90-119, February 2012.  [PDF, Details]

  • Berry, P. M. and Gervasio, M. and Peintner, B. and Yorke-Smith, N. PTIME: Personalized assistance for calendaring. ACM Transactions on Intelligent Systems and Technology, vol. 2, no. 4, pp. 40:1-40:22, July 2011.  [PDF, Details]

  • Refanidis, I. and Alexiadis, A. and Yorke-Smith, N. Beyond Calendar Mashups: Intelligent Calendaring, in Proceedings of ICAPS'11 System Demonstrations, Freiburg, Germany, June 2011.  [Details]

  • Madani, O. and Yu, J. Discovery of Numerous Specific Topics via Term Co-Occurrence Analysis, Technical Note 569. AI Center, SRI International, 569, March 2011.  [PDF, Details]

  • Myers, K. and Kolojejchick, J., and Angiolillo, C. and Cummings, T. and Garvey, T. and Gervasio, M. and Haines, W. and Jones, C. and Knittel, J. and Morley, D. and Ommert, W. and Potter, S. Learning by Demonstration Technology for Military Planning and Decision Making: A Deployment Story, in Proceedings of the Conference on Innovative Applications of Artificial Intelligence (IAAI-11), 2011.  [PDF, Details]

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