The analysis of distributed control and information processing in adaptive systems: a biologically motivated approach
dc.contributor.author | Kampfner, Roberto R. | en_US |
dc.date.accessioned | 2006-04-10T15:24:23Z | |
dc.date.available | 2006-04-10T15:24:23Z | |
dc.date.issued | 1992 | en_US |
dc.identifier.citation | Kampfner, Roberto R. (1992)."The analysis of distributed control and information processing in adaptive systems: a biologically motivated approach." Biosystems 26(3): 139-153. <http://hdl.handle.net/2027.42/30310> | en_US |
dc.identifier.uri | http://www.sciencedirect.com/science/article/B6T2K-49NY235-5S/2/f3824779587ee1bb5096aacd079eaa6b | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/30310 | |
dc.identifier.uri | http://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=1567993&dopt=citation | en_US |
dc.description.abstract | Biological systems have evolved hierarchical, distributed control structures that greatly enhance their adaptability. Two important determinants of biological adaptability considered here are: (i) the pattern of distribution of self-control capabilities; (ii) the degree of programmability of information processing. In this paper we model organizations as goal-oriented, adaptive systems, possessing properties similar to those of biological systems. We use the notion of implicit control (defined as the capability of self-control that is embedded in a system's own dynamics) in the analysis of the impact of specific patterns of distribution of control and information processing on the adaptability of organizations. A principle of design of organizational information systems, that captures important aspects of adaptability-preserving strategies of information processing in biological systems, is stated in terms of the implicit control concept. | en_US |
dc.format.extent | 1305921 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 | The analysis of distributed control and information processing in adaptive systems: a biologically motivated approach | 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 | Computer and Information Science, School of Engineering, The University of Michigan-Dearborn, Dearborn, MI 48128, USA | en_US |
dc.identifier.pmid | 1567993 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/30310/1/0000712.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1016/0303-2647(92)90073-8 | en_US |
dc.identifier.source | Biosystems | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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