Revisiting Classic Thought Experiments to Measure Consciousness for Artificial Intelligence Safety

arXiv cs.AIen

Revisiting Classic Thought Experiments to Measure Consciousness for Artificial Intelligence Safety

arXiv:2608.00001v1 Announce Type: new Abstract: This research note revisits Leibniz's mill, Turing's imitation game, and Searle's Chinese Room through the Conservation-Congruent Encoding (CCE) framework. It formalises a toy symbolic setting in which successful behaviour is measured by task performance ($W_{causal,T}$), while the efficiency with which preserved internal structure supports that behaviour is measured by operational consciousness ($\kappa_T$). Within this setup, an uncompressed lookup system and a compact generative system can in principle achieve comparable behavioural success, yet diverge sharply in $\kappa_T$: the former relies on an expanding standing store of unreused mappi

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