| An information typology for understanding living systems. | |
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MedLine Citation:
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PMID: 9648678 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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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. |
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Authors:
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B A Banathy |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Bio Systems Volume: 46 ISSN: 0303-2647 ISO Abbreviation: BioSystems Publication Date: 1998 Apr |
Date Detail:
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Created Date: 1998-09-17 Completed Date: 1998-09-17 Revised Date: 2000-12-18 |
Medline Journal Info:
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Nlm Unique ID: 0430773 Medline TA: Biosystems Country: IRELAND |
Other Details:
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Languages: eng Pagination: 89-93 Citation Subset: IM |
Affiliation:
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International Systems Institute, Salinas, CA 93908, USA. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Information Science* Life* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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