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Deep complexity and the social sciences : experience, modelling and operationality / Robert Delorme (emeritus professor, Universite de Versailles, France)

By: Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: New horizons in institutional and evolutionary economics | Edward Elgar E-Book ArchivePublisher: Cheltenham, U.K ; Northampton, Mass, USA : Edward Elgar, 2010Description: 1 Online-Ressource (xxiv, 464 pages) : diagramsISBN:
  • 9781781000663
Subject(s): Additional physical formats: 9781849800266. | Erscheint auch als: Deep complexity and the social sciences. Druck-Ausgabe Cheltenham [u.a.] : Elgar, 2010. XXIV, 464 S.DDC classification:
  • 300.15118
RVK: RVK: MR 2800 | QP 230LOC classification:
  • H61.25
DOI: DOI: 10.4337/9781781000663Online resources: Production credits:
  • In this innovative work, Robert Delorme comprehensively explores uncertainty (the irreducibility to numerically measurable probabilities) and ignorance in economics, management and the social sciences through an alternative, systematically built analytical framework. -- This unique book takes uncertainty and ignorance seriously and addresses them as instances of ‘deep complexity’ (problem situations so deeply ill-structured that they cannot be grasped with the concepts and tools of classical science). Building on the works of Herbert Simon, Heinz von Foerster and John von Neumann, the author develops an alternative framework that encompasses, rather than rejects, the classical framework. The outcome of this novel approach is ‘effective deep complexity’, comprising three aspects: an effective alternative framework, which brings an answer to a fundamental issue on the implications of uncertainty for scientific reasoning; a behavioural theory of deeply ill-structured problem-situations; and a decision-and-action support system.
Summary: pt. 1. Experience -- pt. 2. Modelling -- pt. 3. Operationality.Summary: In this innovative work, Robert Delorme comprehensively explores uncertainty (the irreducibility to numerically measurable probabilities) and ignorance in economics, management and the social sciences through an alternative, systematically built analytical framework. This unique book takes uncertainty and ignorance seriously and addresses them as instances of ‘deep complexity (problem situations so deeply ill-structured that they cannot be grasped with the concepts and tools of classical science). Building on the works of Herbert Simon, Heinz von Foerster and John von Neumann, the author develops an alternative framework that encompasses, rather than rejects, the classical framework. The outcome of this novel approach is effective deep complexity, comprising three aspects: an effective alternative framework, which brings an answer to a fundamental issue on the implications of uncertainty for scientific reasoning; a behavioural theory of deeply ill-structured problem-situations; and a decision-and-action support systemPPN: PPN: 1023442639Package identifier: Produktsigel: ZDB-1-EWE
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