PACE is a modular neuro-symbolic system that uses Answer Set Programming to enforce domain constraints when generating actionable counterfactuals for an MLP classifier on the Adult Income dataset.
Neurosymbolic ai: The 3 rd wave.Artificial Intelligence Review, 56(11):12387–12406
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Explicit provenance across the full agentic AI lifecycle is the necessary condition for making responsibility computable and actionable.
citing papers explorer
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PACE: A Neuro-Symbolic Framework for Plausible and Actionable Counterfactual Explanations
PACE is a modular neuro-symbolic system that uses Answer Set Programming to enforce domain constraints when generating actionable counterfactuals for an MLP classifier on the Adult Income dataset.
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Responsible Agentic AI Requires Explicit Provenance
Explicit provenance across the full agentic AI lifecycle is the necessary condition for making responsibility computable and actionable.