The Illusion of Fatalism: Distinguishing Causal Determinism from Pre-Destination in Complex Systems

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Authors: Djeff Bee
Cited by: 0

Abstract

Abstract The fast convergence of predictive artificial intelligence and neurobiological mapping has brought back Hard Determinism, leading to the common assumption that since biological systems are lawful, human agency is an illusion and the future is a static "block universe". This paper argues that this conclusion—what we call Causal Nihilism—is actually a category error in system modeling. We show that even if we strictly assume a causally closed, deterministic manifold, the long-term future of a complex system remains Informationally Inaccessible. By integrating Chaos Theory with Landauer’s Principle of thermodynamic information, we demonstrate that the computational cost of predicting a complex agent quickly exceeds what any physically embedded observer can feasibly handle. We propose the "Unpredictability Horizon" as a clear boundary where outside prediction breaks down. We therefore move past the binary definition of Free Will into a scalar metric we call Agency Depth, suggesting that growing this internal complexity is the main functional scope of action for living agents. We conclude that because the future is computationally irreducible for any complex agent, the agent's internal processing becomes the Salient Cause of the outcome, upholding the dignity of agency as a necessary thermodynamic process. Keywords: Causal Nihilism, Chaos Theory, Hard Determinism, Compatibilism, Agency Depth, Unpredictability Horizon, Computational Irreducibility, Information Theory, Free Will, Cognitive Sovereignty, Physics of Mind. Metadata & Implementation The official human-readable LaTeX code for this paper is maintained at the public repository:https://github.com/MeaningfulnessMediaGroup/MMG-Technical-Reports Protocol ID: MMG-TR-001License: CC-BY-4.0 Authorship & IdentityWriting as Djeff Bee, Dominic Branchaud (ORCID: 0009-0008-2046-4378) applies 25 years of systems engineering methods to philosophical modeling.

Fields of Study & Subjects

Free Will and Agency Philosophy and Theoretical Science Chaos Complexity and Education

Publication details

Journal / source
PhilPapers (PhilPapers Foundation)
Publication date
2 February 2026
Language
EN