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Past Projects

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FAUST (Flexible Acquisition and Understanding System for Text)

SRI is developing an automated reading system that makes the information in text accessible to a range of formal reasoning systems.


Future Force Warrior

The FFW program is developing an individual warrior / small combat team system of systems to complement the Future Combat System (FCS) program to achieve Army transformation objectives.


Genoa: The Structured Evidential Argumentation System

Under this effort, we developed the concept of structured argumentation applied to intelligence analysis, a corporate memory of structured arguments that accumulates over time constituting an historic record of anlytic thinking, and an asynchronous collaborative environemnt for collective reasoning.


HARP: Human Augmented Reasoning through Patterning

This project developed: 1) cognitive aids that allow humans and machines to "think together" in real-time about complicated problems; 2) techniques to overcome the biases and limitations of the human cognitive system; 3) "cognitive amplifiers" that help teams of people rapidly and fully comprehend complicated and uncertain situations; and, 4) the means to rapidly and seamlessly cut across and complement existing hierarchical organizational structures.


High Performance Knowledge Bases

The goal of the project is to enable rapid construction of knowledge bases by knowledge engineers.


Inferring Intent of Attackers

CAPRE uses plan recognition techniques to automatically determining the intent behind a cluster of security alerts. This allows us to prioritize and explain alert clusters to users.


Integrated Battle Command Rolling Start

DARPA’s Integrated Battle Command program (IBC) aims to support the commander’s intuition, judgment, and creativity using flexible, intelligent decision aids. Unlike some previous efforts, IBC will focus on interactive methods that enable humans to guide the search for solutions.

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.


Intelligent Question Answering in the HIV Domain

Natural language technology and deductive inference are applied to allow a researcher to access online HIV databases through English queries.


Intelligent Question-Answering Systems

This report summarizes two years of research effort that included studies of computer memory organization, formal theorem-proving techniques, the application of theorem-proving techniques to new problem domains, and the use of limited natural language input to a question-answering system.

This website does not contain information on all of our past or present projects.
For further information please contact us.

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