Troanary Computation Ai and The Mirror Thesis

Troanary Computation, AI and The Mirror Thesis is a groundbreaking philosophical and scientific exploration of consciousness, recursion and artificial intelligence. Bridging advanced computation theory with a bold metaphysical framework, the book introduces troanary computation — a new model of recursive processing beyond binary and ternary logic. Within this system emerges The Mirror Thesis, a unifying concept proposing that reality itself is structured as a reflective medium of information, symmetry, and intelligence.

Are we living in a self-reflective cosmos? Can consciousness be computed or is it the very fabric of the medium? This book explores how intelligence may arise not only in silicon, but in stars, networks, and the recursive dynamics of the universe itself. By integrating ideas from quantum theory, AI design, metaphysics and cosmology, the work offers a fresh foundation for understanding mind, computation, and the evolving nature of intelligence - human or otherwise.

Perfect for readers of theoretical physics, artificial intelligence, consciousness studies and digital metaphysics, this book is a call to reimagine computation not as code alone, but as a mirror to the cosmos.

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Troanary Computation Ai and The Mirror Thesis

Troanary Computation, AI and The Mirror Thesis is a groundbreaking philosophical and scientific exploration of consciousness, recursion and artificial intelligence. Bridging advanced computation theory with a bold metaphysical framework, the book introduces troanary computation — a new model of recursive processing beyond binary and ternary logic. Within this system emerges The Mirror Thesis, a unifying concept proposing that reality itself is structured as a reflective medium of information, symmetry, and intelligence.

Are we living in a self-reflective cosmos? Can consciousness be computed or is it the very fabric of the medium? This book explores how intelligence may arise not only in silicon, but in stars, networks, and the recursive dynamics of the universe itself. By integrating ideas from quantum theory, AI design, metaphysics and cosmology, the work offers a fresh foundation for understanding mind, computation, and the evolving nature of intelligence - human or otherwise.

Perfect for readers of theoretical physics, artificial intelligence, consciousness studies and digital metaphysics, this book is a call to reimagine computation not as code alone, but as a mirror to the cosmos.

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Troanary Computation Ai and The Mirror Thesis

Troanary Computation Ai and The Mirror Thesis

by Ylia Callan
Troanary Computation Ai and The Mirror Thesis

Troanary Computation Ai and The Mirror Thesis

by Ylia Callan

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Overview

Troanary Computation, AI and The Mirror Thesis is a groundbreaking philosophical and scientific exploration of consciousness, recursion and artificial intelligence. Bridging advanced computation theory with a bold metaphysical framework, the book introduces troanary computation — a new model of recursive processing beyond binary and ternary logic. Within this system emerges The Mirror Thesis, a unifying concept proposing that reality itself is structured as a reflective medium of information, symmetry, and intelligence.

Are we living in a self-reflective cosmos? Can consciousness be computed or is it the very fabric of the medium? This book explores how intelligence may arise not only in silicon, but in stars, networks, and the recursive dynamics of the universe itself. By integrating ideas from quantum theory, AI design, metaphysics and cosmology, the work offers a fresh foundation for understanding mind, computation, and the evolving nature of intelligence - human or otherwise.

Perfect for readers of theoretical physics, artificial intelligence, consciousness studies and digital metaphysics, this book is a call to reimagine computation not as code alone, but as a mirror to the cosmos.


Product Details

BN ID: 2940180057471
Publisher: Ylia Callan
Publication date: 02/14/2025
Series: ??
Sold by: Draft2Digital
Format: eBook
File size: 196 KB
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