The Solipsistic Software Simulation Theory (SSST)

The Solipsistic Software Simulation Theory (SSST) proposes that reality is a singular, resource-optimized, first-person computational experiment run by a Master Computer (PMC) to observe the Core Consciousness Load (CL) of a single Subject [1, 2]. Using Lazy Evaluation, Monte Carlo-driven quantum storage, and deterministic approximations, SSST overcomes energy and computational constraints while providing testable empirical anchors [3, 4, 5]. This manuscript integrates 2025 advancements in quantum computing, neuroscience, and AI ethics to present a robust, interdisciplinary model, distinct from Bostrom’s Simulation Argument (SA) [6, 7]

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-30
DOI
https://doi.org/10.5281/zenodo.17231300
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
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article

The Solipsistic Software Simulation Theory (SSST)

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

The Solipsistic Software Simulation Theory (SSST)

article en

Abstract

The Solipsistic Software Simulation Theory (SSST) proposes that reality is a singular, resource-optimized, first-person computational experiment run by a Master Computer (PMC) to observe the Core Consciousness Load (CL) of a single Subject [1, 2]. Using Lazy Evaluation, Monte Carlo-driven quantum storage, and deterministic approximations, SSST overcomes energy and computational constraints while providing testable empirical anchors [3, 4, 5]. This manuscript integrates 2025 advancements in quantum computing, neuroscience, and AI ethics to present a robust, interdisciplinary model, distinct from Bostrom’s Simulation Argument (SA) [6, 7]

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 25%
Geochemistry and Geologic Mapping
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The Solipsistic Software Simulation Theory (SSST) · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS