Eptistomological Aspects of Knowledge-Based Decision Support Systems

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/1940 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/1940 http://eprints.org/relation/isCoversheetVersionOf https://pure.iiasa.ac.at/id/document/1940 archive 351 disk0/00/00/19/38 2016-01-15 01:51:16 2021-08-27 17:10:48 2016-01-15 01:51:16 monograph show 2 Lee R.M. AL12021 Eptistomological Aspects of Knowledge-Based Decision Support Systems pub iis_mnt iis_sys iis_cmp prog_mmt Knowledge-based decision support applications differ from those typical of artificial intelligence expert systems in their open-ended, evolutionary character and need to coordinate with other systems resources, such as organizational databases and quantitative analysis routines. While knowledge representation machinery is becoming available, the corresponding formalization of managerial/administrative knowledge needed for DSS application is still lacking. This entails problems of an epistomological nature, identifying the foundational concepts of business. An abstract framework based on formal languages and denotational semantics is proposed, and ontological issues are identified. 1982-07 published WP-82-078 WP-82-078 2665 public working_paper IIASA, Laxenburg, Austria 19 FALSE info:eu-repo/semantics/book