Data processing: artificial intelligence – Knowledge processing system – Knowledge representation and reasoning technique
Reexamination Certificate
2005-03-08
2005-03-08
Knight, Anthony (Department: 2121)
Data processing: artificial intelligence
Knowledge processing system
Knowledge representation and reasoning technique
C706S045000, C706S046000
Reexamination Certificate
active
06865566
ABSTRACT:
An approach is described for developing software that executes rules, such as business rules. A group of rule templates defines a rule structure for rules that may be executed by a rules engine. Separate ruleflow templates define tasks that entail the execution of rules. Each of the ruleflow templates associates a task with the group of rule templates. Because the ruleflow templates define the association between the tasks and the group of rule templates, during execution of the tasks a rules engine executes rules defined by the group of templates. User interfaces are automatically generated based on the group of rule templates. A user may interact with the user interfaces to edit the rules defined by the group of templates. After editing the rules, executing the tasks associated with the group of templates will cause execution of the modified rules.
REFERENCES:
patent: 5283856 (1994-02-01), Gross et al.
patent: 5555346 (1996-09-01), Gross et al.
patent: 5627764 (1997-05-01), Schutzman et al.
patent: 5802253 (1998-09-01), Gross et al.
patent: 5835771 (1998-11-01), Veldhuizen
patent: 6442537 (2002-08-01), Karch
patent: 6615198 (2003-09-01), Aldrich
On the relation of order-statistics filters and template matching: optimal morphological pattern recognition Schonfeld, D.; Image Processing, IEEE Transactions on , vol.: 9 , Issue: 5 , May 2000 pp.: 945-949.*
Creating a focused application simulator with flexible decision making capabilites MAzziotti, B.W.; Armstrong, F.B.; Simulation Conference Proceedings, 1994. Winter , Dec. 11-14, 1994 pp.: 1296-1303.*
A multiplier-free fixed-task digital CNN array for video segmentation systemPaasio, A.; Paakkulainen, J.; Isoaho, J.; Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on , vol.: 3 , May 28-31, 2000 □□.*
Straightforward design of robust cellular neural networks for image processingMonnin, D.; Meriat, L.; Koneke, A.; Herault, J.;□□Cellular Neural Networks and Their Applications, 2000. Proceedings of the 6th IEEE International Workshop on ,pp.: 39-44.*
Image segmentation and object recognition by Bayesian grouping Kalitzin, S.N.; Staal, J.J.; Romeny, B.M.terH.; Viergever, M.A.; Image Processing, 2000. Proceedings. 2000 International Conference on , vol.: 3 , Sept. 10-13, 2000, pp.: 580-583 vol. 3.*
Application of fuzzy, GA and hybrid methods to CNN template learningDoan, M.-D.; Halgamuge, S.; Glesner, M.; Braunsforth, S.; Cellular Neural Networks and their Applications, CNNA-96. Fourth IEEE International Workshop on, 24-26, pp.: 327-332.*
Concept-based speech translation Mayfield, L.; Gavalda, M.; Ward, W.; Waibel, A.; Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on , vol.: 1, May 9-12, 1995, pp.: 97-100 vol. 1.*
CAISARTS: a tool for real-time scheduling assistance Humphrey, M.; Stankovic, J.A.; Real-Time Technology and Applications Symposium, 1996. Proceedings., 1996 IEEE, Jun. 10-12, 1996 pp.: 150-159.*
Tsai, JJ.J. P. et al: “Intelligent Support for Specifications Transformation” IEEE Computer Society, Los Alamitos, US vol. 5, No. 6.*
Hsu, L.H. “Configuration Management in HILDA System” Proceeding of the International Conference on Tool for Artifical Intelligence, Nov. 1990, IEEE Computer Society, Conf 2.*
Hsu, L.H. “Configuration Management in HILDA System” Proceedings of the Inernational Conference on Tools for Artifical Intelligence, Nov. 1990, IEEE Computer Society US vol conf 2.
Lerman Marc
Marce Jean-Luc
Mellor David J.
Serrano-Morales Carlos A.
Werner Chris W.
Fair Isaac Corporation
Glenn Michael A.
Glenn Patent Group
Holmes Michael B.
Knight Anthony
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