Document Detail


An information typology for understanding living systems.
MedLine Citation:
PMID:  9648678     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
It is argued that we can improve our understanding of living systems by focusing on their informational processes. Recent developments, primarily in evolutionary biology, cybernetics and systems theory, suggest that informational processes are of at least two, and probably three, different types; and that the interaction of these types can be seen as a basis for the self-construction of living systems. Following the work of Csanyi and Kampis, a distinction is drawn between referential and nonreferential information. This typology is further extended to include statereferential information. The statereferential type serves to lend stability to informational arrangements (organization) that are viable so that they may be propagated in space and time.
Authors:
B A Banathy
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Bio Systems     Volume:  46     ISSN:  0303-2647     ISO Abbreviation:  BioSystems     Publication Date:  1998 Apr 
Date Detail:
Created Date:  1998-09-17     Completed Date:  1998-09-17     Revised Date:  2000-12-18    
Medline Journal Info:
Nlm Unique ID:  0430773     Medline TA:  Biosystems     Country:  IRELAND    
Other Details:
Languages:  eng     Pagination:  89-93     Citation Subset:  IM    
Affiliation:
International Systems Institute, Salinas, CA 93908, USA.
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MeSH Terms
Descriptor/Qualifier:
Information Science*
Life*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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