Data processing: artificial intelligence – Neural network – Learning task
Reexamination Certificate
2005-08-17
2008-11-25
Starks, Jr., Wilbert L (Department: 2129)
Data processing: artificial intelligence
Neural network
Learning task
C706S045000
Reexamination Certificate
active
07457789
ABSTRACT:
Disclosed are interactive computer-implemented support solutions for facilitating the configuration of complex artifacts having characteristics that vary over a relatively wide range of possibilities. The artifact is defined by a configuration model and its features are described by a set of interrelated parameters. A model translation module converts the configuration model into a constraint satisfaction problem. The constraint satisfaction problem, in turn, is defined by a set of variables, wherein each variable may attain a finite number of different values, and a set of constraints restricting which variable values that are simultaneously possible for the variables in the set of variables. A configuration engine calculates a solution to the constraint satisfaction problem, which is optimal with respect to a value assigned to each variable in the constraint satisfaction problem relative to a predefined optimizing criterion. The configuration engine also derives a set of optimal parameter values associated with the calculated solution.
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Alston & Bird LLP
Starks, Jr. Wilbert L
Tacton Systems AB
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