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Distributed Computational Simulation Hypothesis (DCSH)

Author: William Allen Sisemore
Created: October 8, 2025
Version: 1.0


đź§  About the Author / Theory

William Allen Sisemore is an independent theorist and systems thinker exploring the intersection of consciousness, computation, and simulated reality.
In 2025, he authored the Distributed Computational Simulation Hypothesis (DCSH) — the first published model proposing that each conscious being acts as a processing node supplying the computational power required to sustain reality itself.
His work reframes simulation theory through the lens of distributed computing, attention economics, and biological energy systems, offering a scalable alternative to centralized “god-server” simulation concepts.

Sisemore’s focus is on clarity and practical understanding — bridging philosophical insight with scientific reasoning, without the hype or conspiratorial noise that often clouds the topic.


Overview

The Distributed Computational Simulation Hypothesis (DCSH) proposes that if reality is a simulation, it operates not through a centralized “god server,” but as a distributed computing network where each conscious entity functions as a node providing the computational power necessary to render its own experiential environment.

This decentralized design solves the scalability problem of a universe-sized simulation by offloading computation to the participants themselves — similar to how SETI@home leveraged volunteer computing power to process astronomical data.

In this model:

  • Each conscious being provides local compute for its perception and interactions.
  • A shared Rules Layer synchronizes universal constants (e.g., conservation laws, causality, shared social state).
  • Biological energy and attention serve as computational currency, powering the rendering of reality.

Key Concepts

1. Edge Rendering

Each conscious entity renders its immediate environment; only observed regions require high-resolution simulation.

2. Rules Layer Coordination

A minimal invariant framework maintains global coherence — physics, causality, and social information consistency.

3. Attention as Compute

Attention acts as a signal directing local processing resources.
Biological energy expenditure (glucose, fatigue, sleep) mirrors computational cost.

4. Metabolic Cost = Compute Cost

Cognitive fatigue corresponds to processing limits; biological rest resets available processing capacity.


Distinctions from Prior Work

Model Core Idea Difference from DCSH
Bostrom’s Simulation Argument We might be living in a simulation created by advanced beings. DCSH focuses on how it could work — through participant-provided compute.
Digital Physics / Pancomputationalism The universe is fundamentally computational. DCSH proposes a distributed architecture with conscious nodes as processors.
Idealism / Solipsism Reality is mental or mind-dependent. DCSH maintains shared synchronization between independent nodes.

Predictions / Potential Signatures

  1. Attention–Resolution Coupling — increased perceptual or neural activity tied to focus intensity.
  2. Discretization Floors — physical evidence of quantized space/time or computational “grain.”
  3. Synchronization Stress Events — rare global anomalies under high correlation (possible “Mandela-type” effects).
  4. Energy–Complexity Scaling — predictable relationship between cognitive energy and environmental complexity.

Implications

  • Attention = Energy = Currency
    Whoever controls collective attention controls computation flow.
  • Health = Hardware Maintenance
    Sleep and nutrition sustain local processing stability.
  • Ethics
    Manipulating attention for profit or propaganda equates to exploiting computational resources of others.

Suggested Citation

Sisemore, W. A. (2025). Distributed Computational Simulation Hypothesis (DCSH): A participant-powered architecture for simulated reality.
Version 1.0. https://github.com/YourUsername/Distributed-Computational-Simulation-Hypothesis


🔹 Repository Tagline

A scalable simulation model proposing that each conscious being is a computational node powering reality itself — by William Allen Sisemore.


🔹 Social Preview / SEO Description

William Allen Sisemore’s Distributed Computational Simulation Hypothesis (DCSH) describes a universe-scale simulation powered by distributed consciousness — a theory where each living being acts as a processing node rendering its own local reality.


License

© 2025 William Allen Sisemore
This work may be shared with attribution (CC BY-SA 4.0 recommended).
Commercial or derivative use requires written permission from the author.


“If reality is simulated, we’re not the avatars — we’re the processors.”
— William Allen Sisemore

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