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Computational method and system to perform empirical induction

  • US 6,317,700 B1
  • Filed: 12/22/1999
  • Issued: 11/13/2001
  • Est. Priority Date: 12/22/1999
  • Status: Expired due to Term
First Claim
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1. A computational method to perform empirical induction, the method comprised of utilizing a computer or computer system programmed to:

  • convert any dimensional series of repeated measures data into sets of dichotomous series, the data being obtained by repeatedly measuring attributes or events for an individual entity or the individual'"'"'s environment on two or more occasions over an interval of time, at least one variable functioning as an independent variable and being used to define independent events and at least one variable functioning as a dependent variable and being used to define dependent events;

    apply at least one feature to any dichotomous series or any set of dichotomous series to form additional dichotomous series of events that may be associated longitudinally, wherein the at least one feature is selected from the group consisting of episode length, episode criterion, persistence, Boolean events, Boolean event scope, Boolean event criterion, delay after Boolean events, and persistence after Boolean events;

    compute a longitudinal association score (LAS) for each selected combination of one dichotomous series of independent events with one dichotomous series of dependent events, each LAS and any array of LASs being descriptive of the amount of evidence and the positive or negative direction of any longitudinal association that may obtain between the independent variable(s) and the dependent variable(s) for the individual.

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