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Neurosymbolic Systems coverage.

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#ai2#constraint-satisfaction1#ml1#knowledge-representation1#category-theory1#monads1#logic-programming1
ARXIV.ORG

Constraint-Based Analysis of Reasoning Shortcuts in Neurosymbolic Learning

Neurosymbolic systems can satisfy logical constraints during learning without achieving the intended concept-label correspondence; this is a problem known as reasoning shortcuts. W…

6 views ·
#artificial intelligence#constraint satisfaction
ARXIV.ORG

NeSyCat: A Monad-Based Categorical Semantics of the Neurosymbolic ULLER Framework

ULLER (Unified Language for LEarning and Reasoning) offers a unified first-order logic (FOL) syntax, enabling its knowledge bases to be used directly across a wide range of neurosy…

7 views ·
#artificial intelligence#category theory

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