Federated Cognition Stack

Abstract

The Federated Cognition Stack outlines a layered architecture for distributing intelligence across humans, models, and machines. It proposes a framework where cognition is no longer centralized in a single model but federated across specialized agents that coordinate through shared context, memory, and protocols.

Key Concepts

• Cognition as a layered, distributed stack rather than a single model
• Shared memory and context protocols across federated agents
• Specialization over scale as the path to general capability
• Human-in-the-loop coordination as a first-class architectural layer

Summary

This paper introduces a multi-layer model for federated cognition: perception, reasoning, memory, and coordination layers operating across distributed nodes. It argues that the next leap in AI capability will come not from larger monolithic models, but from orchestrated networks of specialized cognitive systems sharing a common substrate.

Citation

Montrel Hutto. (2025). Federated Cognition Stack. Eziah AI. https://eziah.ai/research/federated-cognition-stack

Author

Montrel Hutto

Publisher

Eziah AI

Year

2025

Format

White Paper (PDF)

Canonical URL

https://eziah.ai/research/federated-cognition-stack