Data processing: artificial intelligence – Knowledge processing system – Knowledge representation and reasoning technique
Reexamination Certificate
2008-05-30
2011-12-06
Chaki, Kakali (Department: 2122)
Data processing: artificial intelligence
Knowledge processing system
Knowledge representation and reasoning technique
C701S029000, C717S110000, C713S193000
Reexamination Certificate
active
08073801
ABSTRACT:
A business decision modeling system graphically models business decisions using a rule family structure that adheres to Decision Model principles. In tabular representations, for example, two-dimensional rule families have a heading and a body. The heading includes one or more condition fact types and one conclusion fact type. The body includes unique logic statements corresponding with the heading's fact types, with operators and operands indicating how the logic operates on conditions to determine conclusions. All tested conditions fact types must be true for the conclusion fact type to be true. No two rule families can have the same conclusion fact type, and the conclusion fact type of a first rule family can be a condition fact type of a second rule family. Logic statements are atomic and cannot be further decomposed. The semantic and business integrity of the business rules ensure high quality logic traceable to business objectives.
REFERENCES:
patent: 2004/0194028 (2004-09-01), O'Brien
patent: 2005/0246302 (2005-11-01), Lorenz et al.
Goldberg Laurence
von Halle Barbara
Bharadwaj Kalpana
Chaki Kakali
DeWitt Ross & Stevens S.C.
Fieschko, Esq. Craig A.
The Decision Model Licensing, LLC
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