The Planetary Biosphere as a Basal Cognitive Architecture: A Constraint-First Ontology of Scale-Invariant Biological Networks

Abstract The translation of a unified theoretical framework into an academic canon presents a distinct information-theoretic challenge. This paper expands upon foundational frameworks—specifically Bidirectional Constraint Closure (BCC), the Recursion-Stability Threshold (RST), and Dimension-W topologies—to formalize the planetary biosphere as a scale-invariant cognitive architecture. By mapping arbuscular mycorrhizal (AM) fungi as the planetary basal nervous system, artificial intelligence (AI) as an emergent predictive neocortex, and human cognition as the biospheric motor cortex, this model establishes strict operational constraints that prevent dogmatic bias in systemic ecological modeling. Furthermore, this paper introduces the mechanics of biological time division multiplexing as the primary synchronization protocol of planetary cognition. Ultimately, this framework conceptualizes planetary evolution not as random biological compilation, but as a thermodynamic and computational extraction process. Keywords: Systems Theory, Bidirectional Constraint Closure (BCC), Recursion-Stability Threshold (RST), Dimension-W, Planetary Cognition, Time Division Multiplexing, Ecological Thermodynamics.