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Filtering as a reasoning-control strategy: An experimental assessmentIn dynamic environments, optimal deliberation about what actions to perform is impossible. Instead, it is sometimes necessary to trade potential decision quality for decision timeliness. One approach to achieving this trade-off is to endow intelligent agents with meta-level strategies that provide them guidance about when to reason (and what to reason about) and when to act. We describe our investigations of a particular meta-level reasoning strategy, filtering, in which an agent commits to the goals it has already adopted, and then filters from consideration new options that would conflict with the successful completion of existing goals. To investigate the utility of filtering, a series of experiments was conducted using the Tileworld testbed. Previous experiments conducted by Kinny and Georgeff used an earlier version of the Tileworld to demonstrate the feasibility of filtering. Results are presented that replicate and extend those of Kinny and Georgeff and demonstrate some significant environmental influences on the value of filtering.
Document ID
Document Type
Conference Paper
Pollack, Martha E.
(Pittsburgh Univ. Pittsburgh, PA, United States)
Date Acquired
September 6, 2013
Publication Date
January 1, 1994
Publication Information
Publication: NASA. Johnson Space Center, The Seventh Annual Workshop on Space Operations Applications and Research (SOAR 1993), Volume 1
Subject Category
Accession Number
Funding Number(s)
CONTRACT_GRANT: F49620-92-J-0422
CONTRACT_GRANT: F49620-91-C-0005
CONTRACT_GRANT: F30602-93-C-0038
Distribution Limits
Work of the US Gov. Public Use Permitted.
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