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Transformation Based Endorsement Systems

By Thomas Sudkamp

Abstract

Evidential reasoning techniques classically represent support for a hypothesis by a numeric value or an evidential interval. The combination of support is performed by an arithmetic rule which often requires restrictions to be placed on the set of possibilities. These assumptions usually require the hypotheses to be exhausitive and mutually exclusive. Endorsement based classification systems represent support for the alternatives symbolically rather than numerically. A framework for constructing endorsement systems is presented in which transformations are defined to generate and update the knowledge base. The interaction of the knowledge base and transformations produces a non-monotonic reasoning system. Two endorsement based reasoning systems are presented to demonstrate the flexibility of the transformational approach for reasoning with ambiguous and inconsistent information

Topics: Applications Programs (Computers), Classifications, Expert Systems, Heuristic Methods, Knowledge Representation, Principal Components Analysis, Support Systems, Transformations, Data Acquisition, Data Bases, Hypotheses, Rules, Computer Sciences, Engineering, Mathematics, Physical Sciences and Mathematics
Publisher: CORE Scholar
Year: 1988
OAI identifier: oai:corescholar.libraries.wright.edu:cse-1461
Provided by: CORE
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