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Title: Lessons learned from Autonomous Sciencecraft Experiment
Authors: Chien, Steve A.
Sherwood, Rob
Tran, Daniel
Cichy, Benjamin
Rabideau, Gregg
CastaƱo, Rebecca
Davies, Ashley
Mandl, Dan
Frye, Stuart
Trout, Bruce
D'Agostino, Jeff
Boyer, Darrell
Shulman, Seth
Hayden, Sandra
Sweet, Adam
Christa, Scott
Keywords: Autonomous Sciencecraft Experiment (ASE)
Issue Date: 25-Jul-2005
Publisher: Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2005.
Citation: International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), Utrecht, The Netherlands, July 25-29, 2005.
Abstract: An Autonomous Science Agent has been flying onboard the Earth Observing One Spacecraft since 2003. This software enables the spacecraft to autonomously detect and responds to science events occurring on the Earth such as volcanoes, flooding, and snow melt. The package includes AI-based software systems that perform science data analysis, deliberative planning, and run-time robust execution. This software is in routine use to fly the EO-l mission. In this paper we briefly review the agent architecture and discuss lessons learned from this multi-year flight effort pertinent to deployment of software agents to critical applications.
Appears in Collections:JPL TRS 1992+

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