Biological information processing: the use of information for the support of function
dc.contributor.author | Kampfner, Roberto R. | en_US |
dc.date.accessioned | 2006-04-07T20:57:27Z | |
dc.date.available | 2006-04-07T20:57:27Z | |
dc.date.issued | 1989 | en_US |
dc.identifier.citation | Kampfner, Roberto R. (1989)."Biological information processing: the use of information for the support of function." Biosystems 22(3): 223-230. <http://hdl.handle.net/2027.42/28155> | en_US |
dc.identifier.uri | http://www.sciencedirect.com/science/article/B6T2K-49N97VH-3R/2/a7f8dfe3eab58058c398ea1468f70dda | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/28155 | |
dc.identifier.uri | http://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=2706322&dopt=citation | en_US |
dc.description.abstract | In biological systems, the processing and use of information has evolved out of the need for survival in the face of an uncertain environment. As a consequence, the information-function relationship in these systems is shaped by their adaptability characteristics. In contrast, the information-function relationship in man-designed, goal-oriented organizational systems depends on the ability of the information processing system to support the achievement of the organization's goals. In this paper we use results from adaptability theory in the analysis of control-related aspects of the information-function relationship in man-designed organizational systems. In particular, we use a conceptual model of organizational control to characterize features of functional and control structures and their effect on the adaptability of these systems. The concept of implicit control and a design principle for adaptability-enhancing information systems are derived for this analysis. | en_US |
dc.format.extent | 631766 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Elsevier | en_US |
dc.title | Biological information processing: the use of information for the support of function | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Natural Resources and Environment | en_US |
dc.subject.hlbsecondlevel | Molecular, Cellular and Developmental Biology | en_US |
dc.subject.hlbsecondlevel | Ecology and Evolutionary Biology | en_US |
dc.subject.hlbtoplevel | Health Sciences | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | School of Management and Computer and Information Science, University of Michigan-Dearborn, Dearborn, MI 48128, U.S.A. | en_US |
dc.identifier.pmid | 2706322 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/28155/1/0000607.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1016/0303-2647(89)90063-4 | en_US |
dc.identifier.source | Biosystems | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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