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June 2, 20260 citationsOpen Access

The Research Architecture: How a System Can Know What It Knows

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RKRoman Kir

Key Points

  • The aim is to explore how a system effectively understands and manages its own knowledge.
  • Proposes a framework that includes a structured agent configuration, an operational logic for divergence management, and a stratified memory system.
  • Details the roles of multilogue, isomorphism of CDSA and orchestration, and epistemological stack in knowledge management.
  • Identifies the necessity of an architectural framework for effective knowledge management in systems involving human and AI.
  • Demonstrates that all three components must operate under a cohesive schema for optimal performance.

Abstract

Version 2. Updated structure and clarifications. This version supersedes v1.A research programme involving multiple human and AI participants faces a structural problem: how does the system know what it knows? This note argues the answer requires an architecture — a structured agent configuration (multilogue), an operational logic for managing divergence (isomorphism of CDSA and orchestration), and a stratified memory system (epistemological stack). All three components operate by the same schema.

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Cite This Study

Roman Kir (2026) studied this question.

synapsesocial.com/papers/6a1e72cb30b38c64201b5ffchttps://doi.org/10.5281/zenodo.20472893
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