Immersive Cognitive Retrieval: A Framework for Traversal-Based Interaction with Distributed AI Mesh Architectures via Search Tunnels

This document introduces Immersive Cognitive Retrieval, a conceptual framework for interacting with distributed AI systems via Search Tunnels. Unlike conventional query-response interfaces, this approach treats information retrieval as a traversal through the AI’s internal activation space. Users engage dynamically with emergent reasoning processes, obtaining both prime information (explicit outputs) and residual information (contextual patterns and associative insights). The framework outlines system requirements, visualization strategies, and research directions for participatory interpretability and human-AI co-learning.