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Research . 2025
License: CC BY
Data sources: Datacite
ZENODO
Research . 2025
License: CC BY
Data sources: Datacite
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The Autaxic Trilemma: A Theory of Generative Reality

Authors: Quni, Rowan Brad;

The Autaxic Trilemma: A Theory of Generative Reality

Abstract

The Autaxys Framework—from the Greek auto (self) and taxis (arrangement)—posits that reality is not a pre-existing stage but a computational process that perpetually generates itself. This process is driven by the resolution of a fundamental, inescapable paradox known as the Autaxic Trilemma: the irreducible tension between three imperatives that are locally competitive but globally synergistic: Novelty (the drive to create), Efficiency (the drive to optimize), and Persistence (the drive to endure). These imperatives are in a constant, dynamic negotiation that defines the state of the cosmos at every instant. A universe of perfect order (maximum P and E) is sterile (zero N); a universe of pure chaos (maximum N) is fleeting (zero P). The cosmos is a vast computation seeking to navigate this trilemma, where any local gain for one imperative often comes at a cost to the others, yet global coherence and complexity require the contribution of all three. The laws of physics are not immutable edicts but the most stable, emergent solutions forged in this negotiation. The search for a Theory of Everything is therefore the quest to reverse-engineer this cosmic algorithm: to identify the objective function that arbitrates the Trilemma, the primitive operators it employs, and the fundamental data types they act upon.

Keywords

Autaxys

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green