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INDUCING KNOWLEDGE

Unknown authors · 2 citations
Open access Sep 2026

A General Form of Cautious Approximate Reasoning for Symbolic and Complex Data

Abstract Decision-makers are increasingly confronted with the problem of data imprecision. Thereby,the representation and manipulation of such knowledge play a crucial role in the performance of intelligent systems. Among the well-known logics for imprecise data, we can find symbolic multi-valued logic. This logic exte...

Saoussen Bel Hadj Kacem · 0 citations
#artificial intelligence Preprint Oct 2026

Cognitive Schemas, Laws and Tasks

A structural framework in which schemas are organized by the information and relations required for their use, rather than introduced as unrelated primitives is developed, which supports the reuse and stabilization of derived knowledge while remaining independent of the particular mechanism used to generate candidate s...

A. Jakovác, András Telcs · 0 citations

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