Cormorant Foraging Framework: A Multi-Layered Architecture for Intelligence Systems

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Authors: Michael Shatny
Cited by: 0

Abstract

The Cormorant Foraging Framework presents a multi-layered architecture for categorizing and designing intelligence systems using observable physical dimensions—Sound, Space, and Time. Inspired by cormorant foraging behavior, the framework demonstrates how natural metaphors map directly to information processing paradigms, extending from three-dimensional sensing through gap measurement (DRIFT), action determination (Fetch), and adaptive optimization (GESA). Rather than being imposed top-down, this framework emerged empirically from three independently deployed production systems (ChirpIQX, PerchIQX, WakeIQX), revealing convergent design principles aligned with fundamental physics.

Fields of Study & Subjects

Cognitive Computing and Networks AI-based Problem Solving and Planning Psychiatry Mental Health Neuroscience

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
7 March 2026