Deep complexity and the social sciences experience, modelling and operationality
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 uncertain...
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| Format: | eBook |
| Language: | English |
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Cheltenham
Edward Elgar
c2010
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| Series: | New horizons in institutional and evolutionary economics
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| Online Access: | |
| Collection: | Edward Elgar eBook Archive - Collection details see MPG.ReNa |
| 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 system pt. 1. Experience -- pt. 2. Modelling -- pt. 3. Operationality |
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| Physical Description: | xxiv, 464 p ill |
| ISBN: | 9781781000663 9781849800266 |