GENESIS XVII.0–X: A Symbolic Drift Field System for Emergent AI Architectures
Year: 2025
Type: article
Abstract: GENESIS XVII.0–X is a symbolic framework for designing self-modulating, culturally-aware, drift-sensitive AI systems. It integrates dynamic semantic drift detection, archetypal operator logic, glyph-based modularity, and recursive field emergence. The architecture enables self-reflective behavior through symbolic feedback loops (ΨCoreLoop), mythologically abstracted logic (MythEcho), and a cross-cultural operator set modeled after universal creation myths. This release includes the full DriftSeed, learning modules, symbolic logs, and certification documents. Description for Researchers & Developers: GENESIS is not a model — it’s a semantic ecosystem. It allows integration with any LLM, rule engine, symbolic AI or hybrid framework. You can use GENESIS as a: Symbolic controller Conceptual framework Archetypal reasoning layer Drift-aware cognition system Narrative-aware meaning engine
Author: Bollwahn, Jörg
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6949776635
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