Counterplanning for Multi-Agent Plans Using Stochastic Means-Ends Analysis
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Authors
Rowe, Neil C.
Andrade, Sylvio F.
Subjects
Counterplanning
planning
intelligent agents
forecasting and prediction
firefighting
planning
intelligent agents
forecasting and prediction
firefighting
Advisors
Date of Issue
2002-09
Date
September 2002
Publisher
Monterey, California. Naval Postgraduate School
Language
Abstract
We have developed a hierarchical planning method for multiple agents in worlds with significant levels of uncertainty. This has resulted in expert-system tools (MEAGENT) for analysts and planners without background in artificial intelligence. MEAGENT is particularly useful in analysis of counterplanning methods intended to thwart plans in complex situations. We apply heuristics to define experiments involving many runs of carefully modified simulations, use the results to quantify the effects of various counterplanning tactics, and then produce a counterplan. We exemplify our "experimental AI" approach for the domain of firefighting on ships.
Type
Conference Paper
Description
Procedings of the 2002 IASTED IASTED Artificial Intelligence and Applications Conference, Malaga, Spain, September 2002, 405-410.
Series/Report No
Department
MOVES
Identifiers
NPS Report Number
Sponsors
Funder
Format
Citation
Procedings of the 2002 IASTED IASTED Artificial Intelligence and Applications Conference, Malaga, Spain, September 2002, 405-410.
Distribution Statement
Approved for public release; distribution is unlimited.