Effect of thermodynamic coupling on abductive performance

Determine whether introducing thermodynamic coupling—so that a predictive system’s internal cost or uncertainty signal increases with epistemic error—improves abductive performance as causal demand and world-model complexity increase.

Background

The paper proposes that a predictive architecture may require a physical mechanism coupling epistemic error to computational cost in order to revise erroneous rules and generate genuinely new axioms. It suggests evaluating such a coupled architecture on tasks involving increasing causal difficulty and world-model complexity, but the proposed experiments are not conducted in the paper. The unresolved issue is whether thermodynamic coupling would improve abduction itself, rather than merely improve uncertainty calibration.