Partial global planning: a coordination framework for distributed hypothesis formation

Partial global planning is used to provide a framework for coordinating multiple AI systems that are cooperating in a distributed sensor network. By combining a variety of coordination techniques into a single, unifying framework, partial global planning enables separate AI systems to reason about t...

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Bibliographic Details
Published in:IEEE transactions on systems, man, and cybernetics man, and cybernetics, 1991-09, Vol.21 (5), p.1167-1183
Main Authors: Durfee, E.H., Lesser, V.R.
Format: Article
Language:English
Subjects:
Applied sciences
Artificial intelligence
Condition monitoring
Contracts
Exact sciences and technology
Fuses
Operational research and scientific management
Operational research. Management science
Planning. Forecasting
Process planning
Sensor fusion
Sensor phenomena and characterization
Sensor systems
Sensor systems and applications
Vehicles
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Summary:Partial global planning is used to provide a framework for coordinating multiple AI systems that are cooperating in a distributed sensor network. By combining a variety of coordination techniques into a single, unifying framework, partial global planning enables separate AI systems to reason about their roles and responsibilities as part of group problem solving, and to modify their planned processing and communication actions to act as a more coherent team. Partial global planning is uniquely suited for coordinating systems that are working in continuous, dynamic, and unpredictable domains because it interleaves coordination with action and allows systems to make effective decisions despite incomplete and possibly obsolete information about network activity. The authors implement and evaluate partial global planning in a simulated vehicle monitoring application and identifying promising extensions to the framework.< >
ISSN:0018-9472
2168-2909
DOI:10.1109/21.120067