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Contextual models and the non-Newtonian paradigm.
Kirsty Kitto1, R Daniel Kortschak
1Information Systems School, Queensland University of Technology, Brisbane, 4000, Australia.
Progress in Biophysics and Molecular Biology
|April 10, 2013
Summary
Biological systems are complex and difficult to model using traditional physics. This study explores Quantum Theory (QT) to develop new mathematical models for biological processes.
Area of Science:
- Biology
- Physics
- Mathematical Modeling
Background:
- Biological systems display significant contextual effects, complicating mathematical modeling.
- Classical Newtonian physics assumptions are often unsuitable for describing biological systems.
- Existing mathematical paradigms may not fully capture biological complexity.
Purpose of the Study:
- To highlight the limitations of Newtonian physics in biological modeling.
- To explore Quantum Theory (QT) as a potential framework for biological modeling.
- To identify similarities between biological and quantum systems.
Main Methods:
- Analysis of key assumptions in Newtonian physics.
- Examination of core principles within Quantum Theory (QT).
- Comparative study of biological and quantum system characteristics.
Main Results:
- Newtonian physics' assumptions are often violated in biological contexts.
- Quantum Theory (QT) offers a formalism with potential applicability to biology.
- Identified parallels between biological and quantum phenomena.
Conclusions:
- A Quantum Theory (QT)-inspired formalism could enhance biological process modeling.
- Bridging physics and biology requires new mathematical approaches.
- Further research into quantum-formalisms for biology is warranted.
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