Ecological Quantum Fractal-Assisted Intelligence (EQFAI): A Mathematical and Architectural Framework for Planetary-Scale Environmental Cognition
Year: 2025
Type: conference-paper
Abstract: Contemporary artificial intelligence architectures remain fundamentally constrained by linear processing paradigms, static dataset assumptions, and Euclidean spatial representations, rendering them inadequate for modeling the hyper-complex, non-linear dynamics of planetary ecosystems. This paper introduces the Ecological Quantum Fractal-Assisted Intelligence (EQFAI) framework—a rigorous bio-inspired computational architecture that synthesizes quantum processing cores, fractal data topologies, and distributed biosensormeshes. By modeling ecological feedback loops as scale-invariant, self-similar fractal manifolds processed via probabilistic quantum state spaces, EQFAI transcends classical predictive modeling. We formalize the five-layer architecture of EQFAI, detailing its mathematical foundations, systemic state transitions, and prospective applications in global biodiversitymanagement and climate adaptation.
Author: Patel, Ian
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6893420786
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