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portada The Infinite Iteration Principle: Vol. 2: Evolution and Intelligence (en Inglés)
Formato
Libro Físico
Editorial
Idioma
Inglés
N° páginas
224
Encuadernación
Tapa Blanda
Dimensiones
24.4x17x1.2 cm
ISBN13
9781917403184

The Infinite Iteration Principle: Vol. 2: Evolution and Intelligence (en Inglés)

Capleton, Brian (Autor) · Amarilli Books · Tapa Blanda

The Infinite Iteration Principle: Vol. 2: Evolution and Intelligence (en Inglés) - Capleton, Brian

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Reseña del libro "The Infinite Iteration Principle: Vol. 2: Evolution and Intelligence (en Inglés)"

The IIP-VGF theoretical framework is a mathematically grounded approach to understanding natural phenomena through the deep generative patterns that form them - and that also shape us as human beings. It therefore serves as a route to understanding ourselves. Although the framework is in open form, it offers a unified way of thinking that connects knowledge across many disciplines - physics, biology, cosmology, information theory, and the study of intelligence - using concepts that are compatible with mainstream scientific understanding. At its core, the framework begins from a simple but powerful idea: the principle of infinite iteration, or IIP. The approach asks what happens when the most basic possible operation - an iteration or "repeat" - is allowed to repeat without inherent limit. Rather than assuming predefined structures such as space, particles, forces, quantum correlations or even time, the IIP assumes only nature's capacity to iterate, and asks what kinds of stable patterns or "forms" naturally arise from a simple, abstract rule of repeated iteration. The result of this process is what the framework calls the Vast Generative Field (VGF). The VGF is not a physical substance, but a way of describing how stability, structure, and complexity emerge when very simple iterative rules are allowed to act on themselves repeatedly. The VGF acts as a bridge between abstract mathematical logic and the physical structures we observe in nature. In this sense, the framework does not replace existing physics or biology; instead, it attempts to reinterpret their deep patterns in a common conceptual language.

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