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Resource List:  DARPA CALO
CALO, or Cognitive Assistant that Learns and Organizes is a DARPA artificial intelligence project with an extremely ambitious scope. Even the anagram, CALO is derived from the Latin word "calonis," which means "soldier?s servant."

The goal of CALO is to create cognitive AI 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 learns 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 impossible to automate. The hope is that even if CALO's ambitions are not fully realised, parts of the work will be invaluable in lessening the 'stupidity' of computer systems, which need to be told what to do each step of the way.

To focus research on real problems and ensure the software meets requirements such as privacy, security, and trust, the CALO project researchers themselves are using the technology during its development.

The size and scope of CALO is so huge, that the initial phase, lasting five years, and due to complete in 2009, has been spread around 22 institutions:

SRI International

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