ReplaySCM introduces a replay-based benchmark for executable causal mechanism induction that reveals sharp drops in LLM performance on held-out interventions when variable order or root structure is hidden, even after support audits eliminate inconsistent alternatives.
Inductive Logic Programming , volume =
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Supervised learning across AI systems vindicates a uniform error-driven associationism for cognition, though operating inside advanced computational structures beyond classical associationist models.
citing papers explorer
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ReplaySCM: A Benchmark for Executable Causal Mechanism Induction from Interventions
ReplaySCM introduces a replay-based benchmark for executable causal mechanism induction that reveals sharp drops in LLM performance on held-out interventions when variable order or root structure is hidden, even after support audits eliminate inconsistent alternatives.
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The New Associationism: Lessons from Deep Learning
Supervised learning across AI systems vindicates a uniform error-driven associationism for cognition, though operating inside advanced computational structures beyond classical associationist models.