Data processing: artificial intelligence – Knowledge processing system
Reexamination Certificate
2011-08-02
2011-08-02
Vincent, David R (Department: 2129)
Data processing: artificial intelligence
Knowledge processing system
C706S026000, C706S027000, C706S022000, C706S021000, C707S771000, C707S778000
Reexamination Certificate
active
07991722
ABSTRACT:
A sensor manager comprising: a situation information expected value network and an information instantiator. The situation information expected value network includes a probabilistic network configured to generate situation probabilities using situation data; and an expected information gain determination module configured to generate an information request using expected changes in the situation probabilities. The information instantiator is configured to generate a sensor observation request utilizing the information request and the situation data. The situation data includes at least one of the following: a goal lattice structure data; a goal lattice value; a kinematic state estimate; a non-kinematic state estimate; a search probability mass function; a sensor applicable function table; or any combination of the above. The probabilistic network includes: at least one managed evidence node; at least one unmanaged evidence node; and at least one situation evidence node.
REFERENCES:
Hintz et al., “Dynamic goal instantiation in goal lattices for sensor management”, Apr. 2005.
Schaefer et al. , “Sensor Management in a Sensor Rich Environment”, 2000.
Pearl, “Bayesian Networks:A Model of Self-Activated Memory for Evidential Reasoning”, 1985.
Kreucher et al., “Information Based Sensor Management for Multitarget Tracking”, 2003.
K. Hintz Publications, Latest update: Apr. 9, 2009.
Brown, Jr. Nathan H
George Mason Intellectual Properties, Inc.
Grossman David
Vincent David R
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