Consciousness on Rails: Temporal Self-Location, Maintained Organization, and the Persistent Observer
Year: 2026
Type: article
Abstract: This paper asks what architecture could support a temporally persistent observer and how that architecture could be distinguished from a convincing narrative of persistence. It develops an earlier proposal involving temporal self-location and organization maintained across transitions. Functional registration of the current situation, preserved task-relevant organization, and incorporation of prior interaction into present dispositions are separated; none is equated with phenomenal experience. A history-blind carryover assay compares supplied and authenticated records with history-dependent state formation. A second proposed study intervenes on current-situation registration to ask whether it contributes to organization-preserving adaptation. Ordinary belief-state estimation and adaptive controllers provide competing explanations. Exact-state equivalence limits historical provenance to its effects on present causal structure. Pauses, migration, forks, and merges are treated as state and ancestry relations rather than settled answers to personal identity. The contribution is a source-grounded argument, an untested functional hypothesis, and proposed study designs. No experiment was executed, no candidate architecture was implemented for this manuscript, and no independent peer review or detection of consciousness is claimed. Michael S. Moniz is author of record; ChatGPT assisted with synthesis, literature comparison, drafting, and criticism. Source documents retain their original assistance credits. This version was approved for release on 10 November 2026. It develops the April–August source lineage and acknowledges related work by Joscha Bach and Hikari Sorensen. Independent development is the author's account, not a claim of precedence over their September 2025 publication. The historical source files are preserved separately from the November synthesis. Source record: https://suposystem.ai/tube-universe-working-structure-and-first-equations/consciousness-on-rails-source-record/ CC BY-NC-SA 4.0 applies to the author's original material; cited third-party works retain their own rights.
Author: Moniz, Michael S.
Language: English
Subfield: Philosophy
Field: Arts and Humanities
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7225730321
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