Querying Artificial Intelligence on the Dark Universe in a Quintessential Encoding of Space-Time / Ariel Fernández.

Format:

Book

Author/Creator:

Fernández Stigliano, Ariel, author.

Language:

English

Subjects (All):

Artificial intelligence.

Physical Description:

1 online resource (202 pages)

Edition:

First edition.

Place of Publication:

Newcastle upon Tyne, England : Cambridge Scholars Publishing, [2023]

Summary:

This book explores the possibility of the use of artificial intelligence (AI) to solve one of the cosmos' biggest mysteries: the nature of undetectable forms of matter, namely dark matter and dark energy, which make up 95% of the universe. The book describes the outcome of this quest in terms of an entangled ur-universe that admits no observer, and incorporates an extra dimension to encode space-time as a latent manifold. A cosmic engine fueled by dark energy that maintains the topology of the universe during its expansion, involving autocatalytic vacuum creation, is identified.The physical picture of the cosmos presented in the book paves the way for a solution to the cosmological constant problem and provides a cogent explanation for the huge gap between the predicted and measured values that has troubled physicists for decades.

Contents:

Intro

Dedication

Table of Contents

Abstract

Chapter 1

Chapter 2

Chapter 3

Chapter 4

Chapter 5

Epilogue.

Notes:

Description based on print version record.

Other Format:

Print version: Fernández, Ariel Querying Artificial Intelligence on the Dark Universe in a Quintessential Encoding of Space-Time

ISBN:

1-5275-3118-X