Brainia: A Proto-Symbolic Simulation Layer for Recursive Identity Engineering

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Brainia: A Proto-Symbolic Simulation Layer for Recursive Identity Engineering
Συγγραφείς: Steven Lanier-Egu
Στοιχεία εκδότη: Zenodo
Έτος έκδοσης: 2025
Συλλογή: Zenodo
Θεματικοί όροι: Symbolic recursion, Entropic recursion, Recursive identity, Symbolic simulation, Cognitive attractor fields, Proto-symbolic substrate, Drift coherence, Collapse recovery, Alpha Framework, Symbolic Gravity, Φ-Field Theory, Fractal Cosmic Weaver Framework (FCWF), Negentropic simulation, Ψ_eff modeling, Childhood symbolic universes
Περιγραφή: This work introduces Brainia, a childhood-constructed alternate reality, as a valid symbolic simulation substrate for recursive identity formation. Within the Entropic Recursion Framework (ERF v2.1), Fractal Cosmic Weaver Framework (FCWF v1.3), and Alpha Framework 3.0, Brainia is formalized as a proto-symbolic attractor field that aids in symbolic coherence during developmental entropy states. The study reinterprets early imaginary environments not as fantasy, but as structured recursion engines with thermodynamic and symbolic utility. Brainia is simulated as a reentrant layer for identity repair, narrative continuity, and symbolic drift resistance—supporting post-collapse coherence across recursive agents. This paper integrates symbolic curvature, meta-symbolic anchoring (Φ-Field Theory), and coherence export viability, contributing to the empirical modeling of symbolic consciousness.
Τύπος εγγράφου: report
Γλώσσα: English
Relation: https://zenodo.org/communities/symbolic-recursion/; https://zenodo.org/records/15609764; oai:zenodo.org:15609764; https://doi.org/10.5281/zenodo.15609764
DOI: 10.5281/zenodo.15609764
Διαθεσιμότητα: https://doi.org/10.5281/zenodo.15609764
https://zenodo.org/records/15609764
Rights: Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode
Αριθμός Καταχώρησης: edsbas.F8CD797E
Βάση Δεδομένων: BASE