This paper addresses the vulnerability of capacity cascade in automated governance systems, proposing Institutional Memory Mechanisms to prevent systemic collapse through memory preservation and knowledge transfer.
Key findings
Capacity cascade is a systemic collapse caused by localized decision-making failures propagating through an organization.
Institutional memory acts as an absorptive buffer against cascade dynamics in automated governance systems.
The architecture integrates episodic, semantic, and procedural memory stores with governance mechanisms.
Theoretical analysis establishes bounds on cascade probability reduction.
A comprehensive experimental validation plan is designed to evaluate resilience, recovery time, and decision quality preservation.
Limitations & open questions
The paper outlines a novel approach but requires experimental validation to confirm its efficacy in real-world scenarios.