Meta-analysis for Validation and Strategic Planning

  • Authors:
  • David A. Ostrowski

  • Affiliations:
  • System Analytics and Environmental Sciences Research and Advanced Engineering Ford Motor Company,

  • Venue:
  • RuleML '08 Proceedings of the International Symposium on Rule Representation, Interchange and Reasoning on the Web
  • Year:
  • 2008

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Abstract

This paper presents framework to support design of meta-rule constructs. A prototype is described towards the application of credit analysis. The focus of this system is to define a higher level of inference that will guide pre-established object-level rule constructs. This architecture is supported by the incorporation of machine-learning (ML) techniques to support the acquisition of business rule-based knowledge. This knowledge is applied to specific parameters that ultimately guide an object level decision making process. By developing this process of automated knowledge acquisition, we are interested in up front actions including validation and support of intended responses. We also intend to further classify and categorize this acquired knowledge to support future policy modifications.