Evolutionary expert systems and methods using meta-rules...

Details Evolutionary expert systems and methods using meta-rules... Evolutionary expert systems and methods using meta-rules...

2011-04-12

2011-04-12

Sparks, Donald (Department: 2129)

Data processing: artificial intelligence

Knowledge processing system

Knowledge representation and reasoning technique

Reexamination Certificate

active

07925605

ABSTRACT:
In various embodiments, evolutionary expert systems and methods are disclosed. For example, a method for evolving a rule base of an expert system includes creating a set of meta-rules from a set of first rules associated with the expert system, creating a set of one or more generalized virtual rule candidates based on the set of first rules and the set of meta-rules, filtering the set of generalized virtual rule candidates to remove generalized virtual rule candidates that conflict with at least one rule of the set of first rules to form a set of virtual rules, and incorporating at least one virtual rule of the set of virtual rules into the set of first rules to evolve the first set of rules.

REFERENCES:
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Rubin et al. “KASER: Knowledge Amplification by Structured Expert Randomization”, IEEE SMC—Part B, vol. 34, No. 6, 2004, pp. 2317-2329.
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Srikant et al. “Mining Quantitative Association Rules in Large Relational Tables”, SIGMOD, '96, pp. 1-12.
Stuart H. Rubin, Shu-Ching Chen, and James B. Law, T2K2: A Type II KASER, symposium, Sep. 16-18, 2006, pp. 147-153, The 2006 IEEE International Conference on Information Reuse and Integration (IEEE IRI-2006), Hawaii, USA.

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