Expert system

Data processing: artificial intelligence – Knowledge processing system – Knowledge representation and reasoning technique

Reexamination Certificate

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Details

C706S045000, C706S046000

Reexamination Certificate

active

06850923

ABSTRACT:
An expert system and a method of providing automated advice are described. The system is regularly updated by advice (or diagnosis, recommendation etc.) given by practitioners in the relevant field. The combination of the underlying facts and the consequent (human) advice is used to update a ruleset that is then used to provide automated advice.An example of financial advice is given. A database contains the details for the customers of a financial institution together with advice and recommendations given previously by the institution's human advisors. This database is used to derive a ruleset which is then applied to a subsequent customer's details in an automated manner, possibly at the user's own PC via the World Wide Web. Frequent updating using data from the human advisors' work means that the database (and hence the ruleset) are kept up to date. Consistent advice can thus be provided with minimum human interaction.

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Qiang Shen, Alexios Chouchoulas, “A Modular Approach to Generating Fuzzy Rules with Reduced Attributes for the Monitoring of Complex Systems” (May 2000), Division of Informatics, Informatics Research Report EDI-INF-RR-0122.*
Incremental Feature Selection Bases on Rough Set Theory, Alexiios Chouchoulas, PhD. Proposal, Centre for Intelligent Systems and their Applications Division of Informatics, The University of Edinburgh, (2001).*
“Patterns in plain English”, URL:http:/
cr.knowledgelba.com/Projects/579972638AM.html, from NCR's “Financial Services Knowledge Lab” Web site at URL: http:/
cr.knowledgelab.com/top.html.*
The Web adviser, URL: http:/
cr.knowledgelab.com/Projects/22071998110946.html, from NCR's “Financial Services Knowledge Lab” Web site at URL:http:/
cr.knowledgelab.com/top.html.*
Shen et al., A Modular Approach to Generating Fuzzy Rules with Reduces Attributes for the Monitoring of Complex Systems, May 2000, Division of Informatics, The University of Edinburgh, Informatics Research Report EDI-INF-RR-0122.*
Chouchoulas, Incremental Feature Selection Based on Rough Set Theory, PhD Proposal, Centre for Intelligent Systems and their Applications, Division of Informatics, The University of Edinburgh, 2001.*
“Patterns in plain English”, URL: http:/
cr.knowledgelba.com/Projects/579972638AM.html, from NCR's “Financial Services Knowledge Lab” Web site at URL: http:/
cr.knowledgelab.com/top.html.
“The Web adviser”, URL: http:/
cr.knowledgelab.com/Projects/22071998110946.html, from NCR's “Financial Services Knowledge Lab” Web site at URL: http:/
cr.knowledgelab.com/top.html.

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