Biological Quantum-Analogous Cognition (BQAC) Consciousness as Adaptive Possibility Management

Consciousness may be understood as a biologically evolved process for managing unresolved possibilities under uncertainty. The Biological Quantum-Analogous Cognition (BQAC) framework does not claim the brain is literally quantum mechanical or that cognition requires exotic physical substrates. Instead, it uses the quantum analogy cautiously and structurally: cognition evolved to generate, maintain, weight, suppress, and selectively stabilize multiple candidate trajectories before behavioral commitment. Conscious awareness emerges when one trajectory becomes sufficiently coherent, salient, and stable to dominate behavior and report. The framework integrates predictive processing, active inference, hippocampal replay, and other approaches, positioning unresolved multiplicity and thresholded stabilization as central to cognitive function.

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Abstract

Biological Quantum-Analogous Cognition (BQAC) is a theoretical framework proposingthatconsciousnessisbestunderstoodasabiologicallyevolvedprocessformanagingunresolvedpossibilities under conditions of uncertainty. BQAC does not claim that the brain is literallyquantum mechanical, that cognition depends on macroscopic quantum computation, or thatconsciousness requires exotic physical substrates. It is not a quantum-consciousness theory.Rather, it is a biologically grounded organisational framework that uses the quantum analogycautiously and structurally: as a comparison to systems that formally represent unresolvedalternatives prior to outcome selection.The central claim of BQAC is that cognition evolved not merely to react to present stimuli,but to generate, maintain, weight, suppress, and selectively stabilise multiple candidatetrajectories before behavioural commitment. On this view, imagination, subconsciousprocessing, selfhood, dreaming, planning, symbolic reasoning, and adaptive action underuncertainty are all related expressions of a broader possibility-management architecture.Conscious awareness emerges when one trajectory becomes sufficiently coherent, salient, andstable to dominate behaviour, report, and flexible inferential control.BQAC integrates work from predictive processing, active inference, hippocampal replay,default-mode network research, action-selection neuroscience, stress physiology, symboliccognition, and extended cognition. It is positioned not as a replacement for these frameworksbut as a higher-level organisational account that places unresolved multiplicity and thresh-olded stabilisation at the centre of cognitive function. A failure-mode taxonomy is offered inwhich selected psychiatric conditions may be interpreted as distortions of weighting, entropyregulation, threshold control, or collapse stability. A computational scaffold is proposedusing multi-alternative drift-diffusion and race-accumulator models, with explicit mappingsbetween BQAC constructs and formal parameters. BQAC is presented not as a final theoryof consciousness but as a falsifiable, non-metaphysical framework for understanding cognitionas adaptive possibility management under metabolic and temporal constraint.