Formas persistentes: de Pitágoras a la Teoría de Kolmogorov

A theoretical framework called KT-ESP models an agent as an algorithmic entity that compresses incoming information into internal representations, akin to ZIP compression, and acts according to structured experiential valence. Drawing on algorithmic information theory, Shannon's information theory, Kolmogorov complexity, Church-Turing computability, and thermodynamic limits of computation, the work argues that genuine mental content and structured experience can be formally and computably described. The framework synthesizes philosophy of mind, computational theory, and cognitive science into a unified account of the algorithmic agent, and it extends toward quantifying qualia, suggesting subjective experiential qualities are amenable to rigorous formalization.

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Abstract

This work presents a structured theoretical framework for understanding mind, agency, and experience through the lens of algorithmic information theory, tracing a philosophical lineage from Pythagoras and Aristotle through Kant and Turing to Kolmogorov. The framework, designated KT-ESP, proposes that an agent can be modeled as an algorithmic entity that receives information, constructs compressed internal representations analogous to ZIP compression, and acts in accordance with structured experiential valence. Drawing on Shannon's information theory, Kolmogorov complexity, Church-Turing computability, and Wolpert's thermodynamic limits of computation, the work argues that genuine mental content and structured experience are amenable to formal, computable description. The scope is primarily theoretical and position-oriented, synthesizing philosophy of mind, computational theory, and cognitive science into a unified account of the algorithmic agent. A concluding section extends the framework toward the quantification of qualia, suggesting that subjective experiential qualities need not remain beyond the reach of rigorous formalization.