Approximation fixpoint theory yields well-behaved paraconsistent semantics for extended fuzzy logic programs containing both by-failure and strong negation, generalizing prior work and producing new variants.
In: Proceedings of the AAAI conference on artificial intelligence
2 Pith papers cite this work. Polarity classification is still indexing.
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AGEL-Comp is a neuro-symbolic framework that builds an explicit causal world model and uses a deduction-abduction cycle to improve compositional generalization in interactive agents over pure LLM baselines.
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Paraconsistent Semantics for Extended Fuzzy Logic Programs via Approximation Fixpoint Theory [Extended Version]
Approximation fixpoint theory yields well-behaved paraconsistent semantics for extended fuzzy logic programs containing both by-failure and strong negation, generalizing prior work and producing new variants.
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AGEL-Comp: A Neuro-Symbolic Framework for Compositional Generalization in Interactive Agents
AGEL-Comp is a neuro-symbolic framework that builds an explicit causal world model and uses a deduction-abduction cycle to improve compositional generalization in interactive agents over pure LLM baselines.