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March 4, 20260 citationsOpen Access

The Architecture of Conscious Reasoning: A Structural Model of Layered Cognitive Governance

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AKAbhishek Katariya

Key Points

  • The work aims to model conscious reasoning as a multi-layered cognitive framework that interacts dynamically with various cognitive processes.
  • Developed a formal theoretical framework centered on cognitive architecture.
  • Defined interactions among perceptual input, memory structures, and reasoning mechanisms.
  • Outlined a structural model without requiring empirical proof of consciousness.
  • Established a multi-layered approach to understanding conscious reasoning.
  • Highlighted the interplay between internal coherence and cognitive processes.
  • Set the groundwork for future exploration in adaptive coherence regulation.

Abstract

Project Description – (The Architecture of Conscious Reasoning.) The Architecture of Conscious Reasoning (ACR) presents a formal theoretical framework for modeling conscious reasoning as a structured, multi-layered cognitive architecture. The paper proposes that reasoning is not a single process but an organized interaction between perceptual input, memory structures, abstraction mechanisms, and meta-cognitive evaluation. The framework defines how conscious thought stabilizes, evaluates, and restructures information through internal coherence constraints. Rather than treating consciousness as a metaphysical entity, ACR models it as a functional system operating under structural and logical principles. The theory focuses on architecture — the organization and flow of reasoning — rather than attempting to solve the hard problem of consciousness. This paper constitutes Part I of a two-part theoretical framework. It establishes the structural model of conscious reasoning. Part II, Adaptive Coherence Regulation (ACR-II), extends this foundation by formalizing how cognitive systems regulate coherence under uncertainty and perturbation. The aim of this work is not to provide empirical proof of consciousness, nor to reduce subjective experience to computation. Instead, it offers a conceptual and systems-level model designed to stimulate interdisciplinary dialogue across cognitive science, philosophy of mind, artificial intelligence, and theoretical neuroscience. This project is released as a preprint to invite critique, refinement, and collaborative development. Author: Abhishek Katariya Date: 2 March 2026 Read the paper here 🔗 https://drive.google.com/file/d/10RP6k5xwHUae6HdEhXFMVr-tAiQq04zR/view?usp=drivesdk

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Cite This Study

Abhishek Katariya (2026) studied this question.

synapsesocial.com/papers/69a7cd5ed48f933b5eed9b07https://doi.org/10.17605/osf.io/yzpjk
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