Explaining a complex living system: dynamics, multi-scaling and emergence | Zendy

Irun R. Cohen | Zendy; David Harel | Zendy

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Explaining a complex living system: dynamics, multi-scaling and emergence

Author(s) -

Irun R. Cohen,

David Harel

Publication year - 2006

Publication title -

journal of the royal society interface

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.655

H-Index - 139

eISSN - 1742-5689

pISSN - 1742-5662

DOI - 10.1098/rsif.2006.0173

Subject(s) - living systems , living cell , complex system , computer science , key (lock) , component (thermodynamics) , scaling law , complex dynamics , statistical physics , scaling , management science , data science , biological system , artificial intelligence , physics , mathematics , engineering , biology , mathematical analysis , geometry , computer security , thermodynamics

Complex living systems are difficult to understand. They obey the laws of physics and chemistry, but these basic laws do not explain their behaviour; each component part of a complex system participates in many different interactions and these interactions generate unforeseeable, emergent properties. For example, microscopic interactions between non-living molecules, at the macroscopic level, produce a living cell. Here we discuss how to explain such complexity in the format of a dynamic model that is mathematically precise, yet understandable. Precise, computer-aided modelling will make it easier to formulate novel experiments and attain understanding and control of key biological processes.

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