Informational Initial Conditions and Convergent Imagery: A Phenomenological Illustration of Dual-Layered Reality
August 15, 2026 DOI: 10.17605/osf.io/q9a5h (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper |
|---|---|
| Key points | Argues that the Dual-Layered Reality framework can interpret reported convergence of structural or symbolic patterns across independent life-paths as consistent with stable informational initial conditions shaped by prior compatibility-guided mixing, while distinguishing this from persistence of autobiographical identity. The discussion is presented as illustrative rather than evidential, with structural necessity derived from the External Reference Paradox and Asymmetric Persistence. |
Abstract
This note presents a limited phenomenological illustration of the Dual-Layered Reality (DLR) framework. It examines recurring patterns reported in clinical observations of the dying process, near-death experiences, contemplative traditions, and practices such as Jung's active imagination. Within the DLR architecture, these experiences are interpreted as potentially consistent with informational initial conditions, dual-mode information, and the Isolation Principle operating near the boundaries of embodied realization. Particular attention is given to the reported convergence of structural or symbolic patterns across otherwise independent life-paths. The framework distinguishes such convergence from persistence of autobiographical identity and proposes that relatively stable informational initial conditions, shaped through prior compatibility-guided mixing and progressive organization, could provide a structural basis for convergence while still permitting highly divergent individual trajectories. In contrast, informationally unconstrained initialization would require additional shared constraints to account for comparable population-level convergence, while a simple regress of intact individual lineages would more readily predict lineage-specific continuity. The discussion is strictly illustrative rather than evidential. The structural necessity of informational persistence derives exclusively from the External Reference Paradox and the principle of Asymmetric Persistence developed in the main DLR framework. Stochastic modeling is proposed as a future conceptual tool for comparing alternative assumptions about informational initial conditions, with the primary purpose of identifying classes of hypotheses that are incompatible with observed convergence rather than confirming the DLR framework.