Toward a Physical Theory of Intelligence
Peter David Fagan

TL;DR
This paper introduces a physical, substrate-neutral framework called Conservation-Congruent Encoding (CCE) that unifies the study of intelligence, measurement, and spacetime geometry through thermodynamic and quantum principles.
Contribution
It presents a novel physical theory linking intelligence, measurement, and gravity, extending Landauer's principle and deriving bounds on computation and consciousness.
Findings
Derives a universal bound for macroscopic computation.
Models quantum measurement as active coarse-graining.
Suggests gravity emerges from measurement-induced dissipation.
Abstract
While often treated as abstract algorithmic properties, intelligence and computation are ultimately physical processes constrained by conservation laws. We introduce the Conservation-Congruent Encoding (CCE) framework as a unified, substrate-neutral physical framework for studying intelligence. We propose that information processing emerges when open systems undergo irreversible transitions, carving out macroscopic states from underlying reversible micro-dynamics. Generalizing Landauer's principle to arbitrary conserved quantities via metriplectic flows, we derive a universal bound for macroscopic computation. This yields physical metrics for intelligence and an operational analogue for consciousness, quantifying an agent's ability to extract work from the environment while minimizing its own dissipative dynamics. Applying CCE to the limits of physical observation, we model measurement…
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Taxonomy
TopicsOrigins and Evolution of Life · Cellular Automata and Applications · Computability, Logic, AI Algorithms
