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The constrained disorder principle accounts for quantum effects in biological systems
1Department of Medicine, Hadassah Medical Center, Faculty of Medicine, Hebrew University, Jerusalem, Israel.
Journal of Medicine and Life
|March 12, 2026
Summary
The constrained disorder principle (CDP) explains that variability and noise are essential for biological systems to function and adapt. This principle may be linked to quantum randomness, offering new AI applications for biological systems.
Area of Science:
- Complexity science
- Quantum biology
- Systems biology
Background:
- The constrained disorder principle (CDP) posits that inherent variability is crucial for the proper functioning of all universal systems.
- Biological systems rely on variability and controlled noise within dynamic boundaries for adaptation and resilience.
- Current models struggle to explain complex biological phenomena, suggesting a role for quantum effects.
Purpose of the Study:
- To explore the connection between the constrained disorder principle and quantum randomness.
- To introduce CDP-based second-generation artificial intelligence (AI) systems that leverage variability for biological enhancement.
- To outline potential applications of CDP-based quantum randomness in biological systems.
Main Methods:
- Review of existing data on quantum randomness and its potential attribution to the CDP.
- Conceptualization of CDP-based AI systems designed to introduce controlled variability.
- Exploration of quantifiable variables of quantum randomness for biological applications.
Main Results:
- The CDP provides a framework for understanding the necessity of variability and noise in biological systems.
- Quantum randomness may be a manifestation of the CDP, offering explanations for complex biological phenomena.
- CDP-based AI systems can introduce beneficial variability into biological systems.
Conclusions:
- The constrained disorder principle offers a novel perspective on biological system functionality and adaptation.
- Quantum randomness presents a promising avenue for developing advanced AI applications in biology.
- Leveraging CDP-based quantum randomness can potentially address biological malfunctions and enhance system efficiency.
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