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IDEA: Planning at the Core of Autonomous Reactive AgentsSeveral successful autonomous systems are separated into technologically diverse functional layers operating at different levels of abstraction. This diversity makes them difficult to implement and validate. In this paper, we present IDEA (Intelligent Distributed Execution Architecture), a unified planning and execution framework. In IDEA a layered system can be implemented as separate agents, one per layer, each representing its interactions with the world in a model. At all levels, the model representation primitives and their semantics is the same. Moreover, each agent relies on a single model, plan database, plan runner and on a variety of planners, both reactive and deliberative. The framework allows the specification of agents that operate, within a guaranteed reaction time and supports flexible specification of reactive vs. deliberative agent behavior. Within the IDEA framework we are working to fully duplicate the functionalities of the DS1 Remote Agent and extend it to domains of higher complexity than autonomous spacecraft control.
Document ID
20020087758
Acquisition Source
Ames Research Center
Document Type
Preprint (Draft being sent to journal)
Authors
Muscettola, Nicola
(NASA Ames Research Center Moffett Field, CA United States)
Dorais, Gregory A.
(NASA Ames Research Center Moffett Field, CA United States)
Fry, Chuck
(QSS Group, Inc. United States)
Levinson, Richard
(QSS Group, Inc. United States)
Plaunt, Christian
(NASA Ames Research Center Moffett Field, CA United States)
Clancy, Daniel
Date Acquired
September 7, 2013
Publication Date
January 1, 2002
Subject Category
Cybernetics, Artificial Intelligence And Robotics
Meeting Information
Meeting: Sixth International Conference on AI Planning and Scheduling
Location: Toulouse
Country: France
Start Date: April 23, 2002
End Date: April 27, 2002
Distribution Limits
Public
Copyright
Public Use Permitted.
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