CITATION.cff

cff-version: 1.2.0
title: "Synaptic Intelligence Engine (SIE): A Self-Evolving Cognitive Data Architecture with Usage-Weighted Synaptic Entity Connections and AI-Driven Governance"
message: "If you use or reference this work, please cite it using the metadata below."
type: software
authors:
  - family-names: "Gaur"
    given-names: "Siddhartha"
date-released: "2026-06-20"
license: CC-BY-4.0
abstract: >
  SIE is a proposed cognitive data architecture where every data entity carries its own
  intelligence through four concentric layers (Core Entity, Metadata, Context, Guardrail),
  entities are connected via usage-telemetry-weighted Synaptic Connections governed by a
  Hebbian strengthening mechanism, each connection carries a Micro-AI that feeds back to
  connected entities, and a Central Governance Engine continuously restructures the network.
  SIE is proposed as a replacement for the Medallion Architecture for AI-first data platforms.
keywords:
  - data architecture
  - cognitive data architecture
  - AI-governed data
  - Hebbian learning
  - data mesh
  - self-evolving systems
  - knowledge graphs
  - enterprise AI
  - data engineering