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.
Nature Machine Intelligence2(7), 369–375 (2020)
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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.
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