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・ Robert L. Rose
・ Robert L. Rutherford
・ Robert L. Sack
・ Robert L. Saucy
・ Robert L. Savage
・ Robert L. Schulz
・ Robert L. Selman
・ Robert L. Shafer
・ Robert L. Shaw
・ Robert L. Shepherd Desert Arboretum
・ Robert L. Shevin
・ Robert L. Shook
・ Robert L. Short
・ Robert L. Simpson (film editor)
・ Robert L. Simpson (Mormon)
Robert L. Simpson, Jr.
・ Robert L. Smith
・ Robert L. Smith (recording engineer)
・ Robert L. Smith District Park (Charlotte, North Carolina)
・ Robert L. Spencer
・ Robert L. Spotswood House
・ Robert L. Stanton
・ Robert L. Stark
・ Robert L. Stephens
・ Robert L. Stevens
・ Robert L. Stewart
・ Robert L. Stone
・ Robert L. Stovall
・ Robert L. Strayer
・ Robert L. Stuart


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Robert L. Simpson, Jr. : ウィキペディア英語版
Robert L. Simpson, Jr.

Dr. Robert L. Simpson, Jr., whose primary research interest is in applied artificial intelligence, was Chief Scientist at Applied Systems Intelligence, Inc. (ASI), a small business focused on applied artificial intelligent solutions to government and industry. He is responsible for ASI core technology called PreAct. PreAct Software is a hierarchical suite of intelligent software components that deliver efficient design, development and tracking of associate systems projects
==Background==
Prior to his joining ASI, Simpson was at IET where he was the Principal Investigator (PI) for a DARPA sponsored project evaluating cognitive systems under the Personalized Assistants that Learn program. Before joining IET Simpson worked at the Georgia Tech Research Institute (GTRI) as a Principal Research Scientist where he was Co-PI on an ARDA funded GTRI research project called “Case-Based Reasoning for Knowledge Discovery. This project discovered and made explicit in software the knowledge discovery plans and meta-information about those plans that intelligence analyst implicitly use in performing their analysis tasks. Another project at GTRI was a study of Internet Voting that included technical as well as policy issues such as data privacy and security. In addition, Simpson has investigated the representation and use of meta-data in a DARPA interoperability program called FastC2AP. The Fast Connectivity for Coalition and Agents Project (FastC2AP) proved that agent-based technology can provide key capabilities identified by users as critical for dynamic interoperability in military architectures. The goal of the FastC2AP program was to extend agent-based technologies developed in the DARPA CoABS program, to accommodate secure web services and user-level implementations.

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