What question did this study set out to answer?

The aim is to explore how a system effectively understands and manages its own knowledge.

June 2, 2026Open Access

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

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.

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

Key Points

Abstract

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