Home
Global Journal of Engineering and Technology Advances
International Peer reviewed Engineering Journal || Crossref DOI || Impact Factor 8.6 || ISSN: 2582-5003

Main navigation

  • Home
    • Journal Information
    • Editorial Board Members
    • Reviewer Panel
    • Abstracting and Indexing
    • Journal Policies
    • Our CrossMark Policy
    • Publication Ethics
    • Issue in Progress
    • Current Issue
    • Past Issues
    • Instructions for Authors
    • Article processing fee
    • Track Manuscript Status
    • Get Publication Certificate
    • Join Editorial Board
    • Join Reviewer Panel
  • Contact us
  • Downloads

Research & review articles are invited for publication in September 2026 (Vol. 28, Issue 3) || Submission: up to 28th September || Editorial decision: within 48 hrs.

Decentralized neuro-symbolic cognitive architectures: Integrating federated reasoning, governance, and causal inference for trustworthy, resilient Artificial Intelligence

Breadcrumb

  • Home
  • Decentralized neuro-symbolic cognitive architectures: Integrating federated reasoning, governance, and causal inference for trustworthy, resilient Artificial Intelligence

Oyegoke Oyebode *

Visa Inc. USA.
 
Research Article
Global Journal of Engineering and Technology Advances, 2025, 24(03), 096–114.
Article DOI: 10.30574/gjeta.2025.24.3.0266
DOI url: https://doi.org/10.30574/gjeta.2025.24.3.0266
Received on 29 July 2025; revised on 06 September 2025; accepted on 08 September 2025
 
Artificial intelligence (AI) is increasingly central to solving complex societal, economic, and scientific problems, yet prevailing models remain constrained by their opacity, vulnerability to adversarial inputs, and reliance on centralized infrastructures. These limitations underscore the urgent need for approaches that combine the adaptability of neural networks with the interpretability and rule-based precision of symbolic systems. At the same time, decentralization has emerged as a critical paradigm for enhancing trust, resilience, and accountability in intelligent systems. Together, these threads converge on the concept of decentralized neuro-symbolic cognitive systems, which integrate distributed inference, symbolic reasoning, and governance mechanisms to create secure and transparent frameworks for machine intelligence. This article presents a comprehensive methodology for the design and operation of such systems, advancing beyond conventional hybrid AI by embedding causal intent routing, federated cognitive capsules, encrypted episodic memory, and immutable epistemic ledgers. These elements are supported by governance innovations such as the NeuroConstitution™, which enables tokenized, evolvable norms and ensures accountability through transparent dispute resolution. The framework is evaluated across key application domains, including healthcare, finance, governance, and climate modeling, with comparative benchmarks demonstrating gains in robustness, interpretability, and systemic trust. By uniting symbolic reasoning, neural inference, and decentralized governance, this research outlines a pathway toward AI systems that are not only technically powerful but also socially aligned and ethically defensible. The article concludes that decentralized neuro-symbolic architectures provide a sustainable foundation for advancing trustworthy AI capable of supporting critical infrastructures and decision-making in a rapidly evolving world.
 
Neuro-Symbolic AI; Decentralized Cognition; Federated Cognitive Capsules; Causal Intent Routing; Governance In AI; Trustworthy Artificial Intelligence
 
https://gjeta.com/sites/default/files/fulltext_pdf/GJETA-2025-0266.pdf

Preview Article PDF

Oyegoke Oyebode. Decentralized neuro-symbolic cognitive architectures: Integrating federated reasoning, governance, and causal inference for trustworthy, resilient Artificial Intelligence. Global Journal of Engineering and Technology Advances, 2025, 24(3), 096-114. Article DOI: https://doi.org/10.30574/gjeta.2025.24.3.0266

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


All statements, opinions, and data contained in this publication are solely those of the individual author(s) and contributor(s). The journal, editors, reviewers, and publisher disclaim any responsibility or liability for the content, including accuracy, completeness, or any consequences arising from its use.

Get Certificates

Get Publication Certificate

Download LoA

Check Corssref DOI details

Issue details

Issue Cover Page

Editorial Board

Table of content

          

 

Copyright © 2026 Global Journal of Engineering and Technology Advances - All rights reserved

Developed & Designed by VS Infosolution