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Cognitive Core Architectures: Engineering Real-Time AI Decision Grids for Sovereign Digital Economies
Subject area: Science,Engineering and Technology · Area of research: AI-Native Platforms & Real-Time Decisioning
Abstract
This paper introduces the Cognitive Core Architecture (CCA), a new paradigm for real-time AI-native decision platforms in regulated digital economies. The architecture comprises three principal layers?Decision Spine, AI Execution Grid, and Regulatory Trust Fabric?designed to balance intelligent automation with audibility and compliance. The proposed model is aligned to GTV-level impact in sovereign digital systems such as credit grids, trade platforms, and public infrastructure orchestration. It also presents the RAIL Framework (Resilient, Adaptive, Intelligent, Layered) to ensure modular, secure, and explainable architecture delivery at national scale.
How to cite this paper
@article{1709906,
author = {Gopichand Ranshevare},
title = {Cognitive Core Architectures: Engineering Real-Time AI Decision Grids for Sovereign Digital Economies},
journal = {Iconic Research And Engineering Journals},
year = {2022},
volume = {6},
number = {5},
pages = {277-278},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1709906.pdf},
abstract = {This paper introduces the Cognitive Core Architecture (CCA), a new paradigm for real-time AI-native decision platforms in regulated digital economies. The architecture comprises three principal layers?Decision Spine, AI Execution Grid, and Regulatory Trust Fabric?designed to balance intelligent automation with audibility and compliance. The proposed model is aligned to GTV-level impact in sovereign digital systems such as credit grids, trade platforms, and public infrastructure orchestration. It also presents the RAIL Framework (Resilient, Adaptive, Intelligent, Layered) to ensure modular, secure, and explainable architecture delivery at national scale.},
month = {November},
}