Literature DB >> 443402

Complementarity vs. reduction as explanation of biological complexity.

H H Pattee.   

Abstract

The classical structure-function relation is presented as an example of an epistemological complementarity. Complementarity implies that a satisfactory explanation requires two modes of description, neither derivable from nor reducible to the other, as well as mutual incompatibility in a formal logical sense. Complementarity arose from the difficulty in describing conditional measurement processes in the language of causal microscopic laws of physics. Biological structure is associated with description in the language of physical laws, whereas biological function is associated with description of informational processes, i.e., measurement and control, that are complementary in the above sense. An explicit incompatibility between these two modes of description is that laws are expressed as rate-dependent equations, whereas informational processes are expressed as rate-independent nonintegrable constraints. The functional mode allows a simplification of structurally complex organization that is essential, not only for explanation, but for self-description at all levels of biological organization.

Mesh:

Substances:

Year:  1979        PMID: 443402     DOI: 10.1152/ajpregu.1979.236.5.R241

Source DB:  PubMed          Journal:  Am J Physiol        ISSN: 0002-9513


  4 in total

Review 1.  Psychoneuroimmunology: the problem of the situatedness of illness and the conceptualization of healing.

Authors:  M L Lyon
Journal:  Cult Med Psychiatry       Date:  1993-03

Review 2.  Three subsets of sequence complexity and their relevance to biopolymeric information.

Authors:  David L Abel; Jack T Trevors
Journal:  Theor Biol Med Model       Date:  2005-08-11       Impact factor: 2.432

3.  Dynamic systems approaches and levels of analysis in the nervous system.

Authors:  David Parker; Vipin Srivastava
Journal:  Front Physiol       Date:  2013-02-05       Impact factor: 4.566

Review 4.  The capabilities of chaos and complexity.

Authors:  David L Abel
Journal:  Int J Mol Sci       Date:  2009-01-09       Impact factor: 6.208

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.