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This paper argues that, contrary to the expectations of researchers, academics and practitioners, current expert systems (ES) for business information and decision making applications arc actually quite primitive and fall disturbingly short of claims of intelligence. The focus of the article is a discussion of the problems with expert systems and a realistic assessment of the narrow spectrum of ES successes. The problems seriously detract from the prospects of expert systems as practical enhancements to most present-day business information systems.
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Stored only when both papers are in the corpus — 15 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.