The analysis of distributed control and information processing in adaptive systems: a biologically motivated approach.

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.

[1]  Jay R. Galbraith.  Organization Design: An Information Processing View , 1974 .

[2]  Roberto R. Kampfner.  A hierarchical model of organizational control for the analysis of information systems requirements , 1987, Inf. Syst..

[3]  Michael L. Tushman,et al.  Information Processing as an Integrating Concept in Organizational Design. , 1978 .

[4]  M Conrad,et al.  Complementary molecular models of learning and memory. , 1976, Bio Systems.

[5]  M. Mesarovic,et al.  Theory of Hierarchical, Multilevel, Systems , 1970 .

[6]  M. Conrad.  Evolutionary learning circuits. , 1974, Journal of theoretical biology.

[7]  Stafford Beer,et al.  The Viable System Model : its provenance , development , methodology and pathology * Stafford Beer = President of the World Organization for Systems and Cybernetics , 2000 .

[8]  John L. Casti,et al.  Newton, Aristotle, and the Modeling of Living Systems , 1989 .

[9]  M. Conrad.  Bootstrapping on the adaptive landscape. , 1979, Bio Systems.

[10]  M. Conrad.  Force, Measurement, and Life , 1989 .

[11]  R R Kampfner,et al.  Biological information processing: the use of information for the support of function. , 1989, Bio Systems.

[12]  Robert Rosen,et al.  Chapter 4 – SOME RELATIONAL CELL MODELS: THE METABOLISM-REPAIR SYSTEMS , 1972 .

[13]  Michael Conrad,et al.  On design principles for a molecular computer , 1985, CACM.

[14]  J. R. Sampson,et al.  Biological Information Processing. , 1987 .

[15]  W. Ashby,et al.  An Introduction to Cybernetics , 1957 .