AGI Submission Doc Toward a Modular Cognitive Architecture for Collective Intelligence: A P2P Platform for Distributed Epistemology, Semantic Processing, and Scalable Memory

Abstract

This paper proposes a modular cognitive architecture designed to support distributed collective intelligence through peer-to-peer (P2P) coordination, federated memory systems, and semantic knowledge integration. Building on theories of distributed cognition, epistemology, and scalable learning systems, the proposed platform introduces an integrated framework for contextual reasoning, decentralized memory federation, and adaptive knowledge structuring. The architecture features Virtual Cognitive Agents (VCAs) equipped with dynamic memory graphs and semantic reasoning capabilities, capable of associating and reclassifying knowledge across multiple domains. These agents interact through a shared semantic layer that enables faceted classification, contextual tagging, and inter-agent negotiation. The system is designed to preserve epistemic traceability, adapt across conceptual domains, and maintain semantic coherence at scale.Emphasizing explainability, ethical modularity, and interoperability, the system incorporates privacy-aware protocols and contextual metadata at every level. It enables agents-human and artificial-to co-create, refine, and align knowledge across domains while supporting participatory sensemaking and distributed reasoning. We demonstrate how this architecture facilitates the co-emergence of shared knowledge and contributes to the development of general-purpose cognitive infrastructures capable of operating within multi-agent epistemic environments, thereby advancing the evolution of Artificial General Intelligence (AGI).