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Position: Reasoning is a Learnable Rule-Based Process
A new arXiv position paper argues that autonomous reasoning in AI must be redefined as a learnable, rule-based process grounded in validity and soundness—challenging dominant generative AI paradigms and proposing operational definitions and communication standards to restore construct validity in reasoning evaluation.
Aug 14, 2026
PACE: A Neuro-Symbolic Framework for Plausible and Actionable Counterfactual Explanations
PACE is a new neuro-symbolic framework that integrates neural prediction with symbolic reasoning to generate counterfactual explanations constrained by real-world domain feasibility — addressing a known weakness in explainable AI where counterfactuals are technically valid but practically implausible.
Published Jul 3, 2026 · Analyzed Jul 6, 2026