Immersive Cognitive Retrieval: A Framework for Traversal-Based Interaction with Distributed AI Mesh Architectures via Search Tunnels
Year: 2025
Type: article
Abstract: 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.
Author: Gleeson, Matthew
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6931045307
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