Improving the Engine of Society

TL;DR

This paper proposes a novel approach to redesign societal and environmental systems by maximizing complex information entropy, aiming to improve climate stability, ecosystem health, and human well-being through a systemic, entropy-based framework.

Contribution

It introduces a new entropy measure for complex systems and redesigns societal engines to optimize for information entropy rather than energy, offering a holistic solution to climate and societal issues.

Findings

Optimizing for complex information entropy improves climate and ecosystems.

Redesigning societal systems reduces useless labor and enhances well-being.

A digital twin with an entropy-based fitness function offers a potential climate solution.

Abstract

This paper is organized into four chapters. The first chapter observes how decoupling labor from ownership of the output produced by that labor is equivalent to building an engine that is incentivized to generate the maximum energy output, which leads to unstoppable climate change and compromised quality of life for many individuals. The second chapter discusses the organization of complex systems into hierarchical objects and functions, and proposes an improved working definition for the information entropy contained in complex systems. Chapter 3 redesigns the engine from Chapter 1 into a system optimized to maximize Complex Information Entropy (CIE) rather than energy expenditure, which leads to improvements in the climate, regrowth of environmental ecosystems, minimization of useless labor, and maximization of the well-being of participants. Chapter 4 examines climate change specifically, and introduces a possible solution in the form of a digital twin with an entropy-based fitness function.