Fathom an AI system capable of making utterances like “I think therefore I am”. This inward gaze, arguably a hallmark of conscience, is absent in today’s intelligent machines. Yet, it is essential for the alignment of purpose of machine and human, an imperative that should turn the machine into an ally of human endeavor. Accordingly, this book implements conscience within an AI context, describing how an AI system for neural symbolic reasoning may be endowed with an introspective function. The goal is to approach core scientific problems deemed “noncomputable” when the standard tenets of physics are applied. Thus, artificial conscience boldly restructures the inferential setting altogether.
Key Features:
• This book places conscience in an AI context to empower neural equational reasoning with bold interdisciplinary approaches and wholesale network restructuring.
• The conscious AI system introduced is capable of tackling noncomputable problems in quantum physics by summoning unintuitive concepts using innovative semantic maps.
• This book is uniquely geared at human and nonhuman audiences.
This book implements an artificial conscience that significantly expands the scope of machines for neural formal reasoning and boldly tackles core problems in quantum physics that are deemed “noncomputable”.
This book is uniquely geared at graduate students, professionals, and nonhuman audiences who seek to venture into core physics problems empowered by AI.
Table of Contents:
1 Artificial Conscience for the Quantum Physicist: Introduction and Propaedeutics
2 Conscious AI Approaches Core Problems in Particle Cosmology
3 Methods: Conscious Autoencoders
4 Sixfold Fermionic Field Incorporating Dark Matter as Topological Majorana Particles
5 Conscious AI Discovers Dark Energy in Space‑Time Buttressing
6 Conscious AI Approaches the Theory of Everything
7 Artificial Conscience Circumvents the Time Travel Paradox through a Topological Remodeling of Space‑Time
8 Engineering a Substrate‑Independent Quantum Consciousness
About the Author :
Ariel Fernández Stigliano (also styled as Ariel Fernández) is a physicist and mathematician. He obtained his Ph.D. degree from Yale University and held the Karl F. Hasselmann Endowed Chair Professorship in Engineering at Rice University. He was also Adjunct Professor of Computer Science at the University of Chicago. To date, he has published over 500 scientific papers and has authored 11 books on biophysics, artificial intelligence and mathematical physics. Additionally, he holds several patents on technological innovation. He is a senior member of the National Research Council of Argentina (CONICET), CEO of the Daruma Institute for Applied Intelligence and CSO at the Ariel Fernandez AI Lab. Assisted by an AI copilot provided with novel semantic maps, his current research efforts are geared at the unification of gravity and the dark sector based on a fine-structure topological model of space-time.
