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Barney Pell
Researcher at Ames Research Center
Publications - 42
Citations - 3327
Barney Pell is an academic researcher from Ames Research Center. The author has contributed to research in topics: Autonomous agent & NASA Deep Space Network. The author has an hindex of 22, co-authored 42 publications receiving 3239 citations. Previous affiliations of Barney Pell include Microsoft & Research Institute for Advanced Computer Science.
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Journal ArticleDOI
Remote Agent: to boldly go where no AI system has gone before
TL;DR: The Remote Agent is described, a specific autonomous agent architecture based on the principles of model-based programming, on-board deduction and search, and goal-directed closed-loop commanding, that takes a significant step toward enabling this future of space exploration.
Book ChapterDOI
The Belief-Desire-Intention Model of Agency
TL;DR: Within the ATAL community, the belief-desire-intention (BDI) model has come to be possibly the best known and best studied model of practical reasoning agents.
Journal ArticleDOI
General Game Playing: Overview of the AAAI Competition
TL;DR: An overview of the technical issues and logistics associated with this summer's competition, as well as the relevance of general game playing to the long range-goals of artificial intelligence, are overviewed.
Adjustable Autonomy for Human-Centered Autonomous Systems on Mars
TL;DR: On-going research at the NASA Ames Research Center and the Johnson Space Center in developing human-centered autonomous systems that can be used for a manned Mars mission are discussed.
Proceedings ArticleDOI
Design of the Remote Agent experiment for spacecraft autonomy
Douglas Bernard,Gregory A. Dorais,Chuck Fry,Edward B. Gamble,Bob Kanefsky,James Kurien,William Millar,Nicola Muscettola,P. Pandurang Nayak,Barney Pell,Kanna Rajan,Nicolas Rouquette,Brett Smith,Brian C. Williams +13 more
TL;DR: The experiment integrates several spacecraft autonomy technologies developed at NASA Ames and the Jet Propulsion Laboratory: on-board planning, a robust multi threaded executive, and model-based failure diagnosis and recovery.