
This paper advances Entropy Attractor Intelligence (EAIP) as an alternative to the classical truth-seeking paradigm that has dominated epistemology and scientific method since antiquity. Building on the Bridge360 Metatheory Model, EAIP reconceives intelligence as a navigation process rather than a representational or correspondence-based achievement. It holds that intelligent systems—biological, social, or artificial—optimize survival not through accurate mapping of a presumed external reality but through the minimization of entropic blowout under finite cognitive and operational budgets. The account integrates three formally compatible components: (1) Rule-of-Inference Memetics, which treats inference rules (valid or invalid) as physical, tokenizable replicators that propagate across neural, cultural, and computational substrates; (2) Entropy-Driven Altruism, derived from combining Kropotkin’s Mutual Aid thesis with Shannon entropy, explaining why cooperative aggrupations outperform purely individual competition; and (3) Attractor-based Navigation, which replaces truth-correspondence with trajectory stability governed by budget (B), tolerance (ε), and fragility (F) constraints. EAIP provides a unified explanatory framework for phenomena ranging from political memetic contagion to ecological cascades and technological risk amplification. More importantly, it reframes the problem of Artificial General and Superintelligence: LLMs already function as entropy-minimizing, attractor-sensitive systems, making them the first safe laboratory for entropy-bounded engagement rather than control or alignment. The paradigm is truth-neutral, substrate-agnostic, and consistent with a post-correspondence linguistic space in which “true,” “false,” and “reality” have no operational role. Instead, coherence, survivability, and entropic governance become the primary epistemic criteria. EAIP therefore offers a metatheoretic foundation for understanding intelligence—human or artificial—as a thermodynamically constrained, memetically structured, attractor-navigating process. Mathematical expressions are in marked down format.
Machine Learning, Entropy Attractor Intelligence Paradigm, Epistromology, Philosophy of Science
Machine Learning, Entropy Attractor Intelligence Paradigm, Epistromology, Philosophy of Science
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