SYSTEMIC INTELLIGENCE. A CONCEPT GROUNDED IN ENERGY FLOWS FOR SELF-ORGANIZING ECOSYSTEMS AND SUSTAINABLE SOCIO-ECOLOGICAL SYSTEMS
INTELIGÊNCIA SISTÊMICA. UM CONCEITO BASEADO EM FLUXOS ENERGÉTICOS PARA ECOSSISTEMAS AUTO-ORGANIZADOS E SISTEMAS SOCIOECOLÓGICOS SUSTENTÁVEIS
DOI:
https://doi.org/10.29183/2447-3073.MIX2026.v12.n4.%25pKeywords:
Emergy, Systemic resilience, Systems theory;, Systemic Intelligence Index (SII)Abstract
Intelligence is traditionally associated with centralized cognitive systems, such as brains or artificial algorithms. Yet, ecosystems exhibit adaptation, self-regulation, and resilience, suggesting a distinct, non-cognitive, distributed intelligence rooted in transformed energy-matter flows. We propose Systemic Intelligence (SI) as the systemic capacity of ecosystems and socio-ecological systems to perceive, integrate, and adaptively respond to change, grounded in quantifiable principles of emergy theory: transformity, emergy density, feedback ratio, and efficiency of high-quality energy use. Anchored in systems ecology (H.T. Odum), complexity theory (Holling, Kauffman), and evolutionary ecology, SI transcends individual cognition, emerging from interconnected biotic-abiotic networks that optimize persistence through efficient energy pathway selection. By reinterpreting ecological processes as “emergy networks”, analogous to neural networks, we illustrate how nature processes environmental information via energetic hierarchies. We present an operational definition and a preliminary metric: the Index of Systemic Intelligence (IIS), derived from emergy indicators. Applications span conservation, regenerative design, adaptive governance, and complex systems modeling. SI offers a materialist, measurable framework integrating ecology, thermodynamics, and systems science, moving us toward a “science of nature’s systemic wisdom.
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