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- W2152890816 abstract "The author compares strategies of learning from failures to learning from successes in the context of a generate-and-test problem solver. One result is fairly straightforward: failure-driven learning creates rules which distinguish between failures. This is demonstrated by the fact that the number of hypotheses decreases after learning. A more subtle result is that the performance of the system, measured in terms of logical inferences, decreased with failure-driven learning more than it did with two variants of success driven learning. Diagnosis results are presented for ACES designed to process telemetry data from a satellite and isolate the cause of problems with the attitude control system. >" @default.
- W2152890816 created "2016-06-24" @default.
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- W2152890816 date "2003-01-07" @default.
- W2152890816 modified "2023-09-24" @default.
- W2152890816 title "Explanation-based learning of diagnostic heuristics: a comparison of learning from success and failure" @default.
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- W2152890816 doi "https://doi.org/10.1109/aisig.1989.47320" @default.
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