Data processing: artificial intelligence – Knowledge processing system – Knowledge representation and reasoning technique
Reexamination Certificate
2008-03-04
2008-03-04
Knight, Anthony (Department: 2121)
Data processing: artificial intelligence
Knowledge processing system
Knowledge representation and reasoning technique
C706S008000, C706S020000, C706S046000
Reexamination Certificate
active
07340443
ABSTRACT:
A method and computer product is disclosed for arbitrating the outputs of a plurality of recognizers to select a hypothesis associated with a given input from a plurality of hypotheses. Fuzzy membership states are assigned to respective candidate outputs of the plurality of recognizers. At least one rule is selected according to the assigned fuzzy membership states. A selected rule provides a determined amount of support mass for an associated one of the plurality of hypotheses and a determined amount of uncertainty mass. A support value for each hypothesis and an overall uncertainty are determined from the provided mass values. A hypothesis having a highest support value while having an acceptable low level of uncertainty is selected.
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Dugan Peter
Lewis Lori K.
Paradis Rosemary D.
Tillotson Dennis A.
Brown, Jr. Nathan H.
Knight Anthony
Lockheed Martin Corporation
Tarolli, Sundheim Covell & Tummino LLP
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