The paper explores the finitist Wolfram model, positing that the universe functions as a non-terminating linear bounded automaton. It suggests that this framework can be segmented into coordinated finite automata within irreducible classes, which collectively form a multiway state graph. While it provides a brief overview of these concepts, the primary focus is on summarizing existing ideas rather than introducing new theories.
Exploring the concept of Digital Phenomenology, this collection delves into the intersection of phenomenology and digital frameworks. It features significant papers discussing methodological skepticism through Bayesian updating and the finite Wolfram physics model. Additionally, it outlines finite content theory and includes various mathematical notes, emphasizing a finitist approach to understanding discrete phenomenalism. The work aims to clarify and expand on the principles of Digital Phenomenology, offering insights into its theoretical foundations and applications.
Proving digital philosophy and post-Keynesian economics
Focusing on the intersection of digital philosophy and post-Keynesian economics, this technical report presents a comprehensive exploration of a philosophical theory of everything. It delves into foundational principles, making it a valuable resource for professionals in philosophy, mathematics, computer science, physics, economics, and political science.
The paper explores the concept of methodological skepticism through the lens of Bayesian updating, demonstrating that the weakest coherent formal system, analyzed via ordinal methods, matches the strength of a system incorporating intuitionistic logic and finitist set theory. It highlights how this combined formal system is capable of constructing a linear bounded automaton, which effectively computes discrete Bayesian inference, bridging logic and computational theory.
A digital phenomenology and predictive liquid democracy
The book delves into advanced philosophical concepts, focusing on methodological skepticism and its relation to Bayesian updating. It revisits and expands upon previous works, including discussions on the finitist Wolfram physics model. Additionally, it introduces finite content theory and presents mathematical insights across various fields. A key aspect is the exploration of digital phenomenology, emphasizing a finitist and discrete approach to understanding phenomenal experiences.
This is a clarification of and development upon my previous work. It includes "Concerning the weakest coherent formalization of methodological skepticism as a Bayesian updater" and "On the finitst Wolfram physics model", then there is an outline of finite content theory and mathematical notes in various areas. Digital phenomenology itself is the study of a finitist (and therefore discrete) phenomenalism.