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The Limits of the Plannable

Stability and Complexity in Planning and Planned Systems

Bibliographic Data

ID4139088
AuthorsG F Chadwick (1 Cedar Way, Fulshaw Park, Wilmslow, Cheshire, England), George Chadwick (Thomas Cole Historic House, corresponding author)
Year1977
Volume9
Issue10
Pages1189-1192
Publication date1977-10-01
Open AccessYes
TypeARTICLE
VenueEnvironment and Planning A Economy and Space (JOURNAL)
Journal identifiersISSN: 0308-518X • E-ISSN: 1472-3409
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1068/a091189
OpenAlexW2055048687
LanguageEN
Citations received2
References cited7

The paper considers work by Gardner and Ashby on the relationship between the connectivity of large systems and their stability, which suggests that all large complex dynamic systems will have a critical level of connectance beyond which they will go suddenly unstable. Further evidence by May on ecological systems supports this view. Reliability in systems, that is maintenance of stability of critical values over long periods of time, is held by Ashby to flow from such systems not being fully joined or connected. It is suggested that these considerations must apply also to attempts to plan and control the future of socioeconomic systems, both in relation to the planned system itself, and to the planning system which tries to invoke requisite variety to control the planned system. Stable systems in planning are thus seen as small, probably subsystemic in nature, not fully-joined, and hence hierarchical in structure. 'Central' planning results in instability because of size and complexity of control systems needed, and 'equality' is not a sustainable concept, as it requires or implies full connectedness. Finally, three kinds of system situations are put forward as representing gradations of stability and thus of 'plannability' or design possibility. These situations tend to show the limits of the plannable

Complex system · Control system · Geography · Operations research · Social connectedness · Complex Systems and Decision Making · Computer Science · Ecosystem dynamics and resilience · Engineering · Mathematics · Psychology · Sustainability and Ecological Systems Analysis · Artificial Intelligence

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Citations per year0.05
Citation span1987 - 2018 (32)
Highly citedNo

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