Cognitional mechanics establishes a framework linking intelligence to quantum mechanics, implying new AI applications.
Cognitional Mechanics (CM) establishes an axiomatic framework formalizing the structural mechanisms of intelligence. Unlike approaches based on physical dynamics or engineering, CM abstracts intelligence as a self-contained operational system defined by non-commutative operations, convergence of semantic states, and inaccessible domains (Zenodo DOI: https://zenodo.org/records/17993857). The framework positions intelligence as mathematically tractable, substrate-independent, and analyzable without external observation. CM reveals structural correspondences with Quantum Mechanics(QM), including operator non-commutativity, invariance of state vectors, and Planck’s constant analogously represented by the operational limit constant c. This demonstrates that intelligence mechanisms can be generalized and fully axiomatized. By defining a metric space of semantic states with distance functions satisfying non-negativity, symmetry, and the triangle inequality, CM ensures rigor and self-containment. The operational limit c serves as a logical boundary, absorbing measurability criticisms and ensuring convergence and inaccessibility are determined internally. CM provides a foundation for further study of intelligence’s geometric-operational structure, with implications for AI architectures, abstract metrics, and analogies to QM.
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T.O. (2025) studied this question.
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