This theoretical framework proposes an informational field influencing biological complexity, suggesting implications for artificial intelligence and quantum biology.
Understanding how biological systems maintain their extraordinary complexity remains a major challenge in science. This paper presents a highly speculative theoretical framework: a hypothetical informational field—analogous in spirit to dark matter—that may influence biological and possible future artificial systems through hidden attractors operating at the quantum level. These attractors are hypothesized to modulate probability distributions beyond the standard Born rule, potentially guiding processes such as protein folding, DNA repair, or neural coherence. The framework connects concepts from quantum biology, complexity theory, and dynamical systems, and offers testable predictions using current spectroscopic and quantum sensing techniques. It also outlines implications for artificial intelligence, suggesting that future self-organizing architectures may require integration of non-classical informational dynamics.
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Pavel Straňák (2025) studied this question.
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