The complex co-evolutionary systems approach (Paperback)


The complex co-evolutionary systems approach (CCeSA) provides a framework to study man-made systems. By studying such entities as self-generated, hierarchical, complex co-evolutionary systems (CCeSs), one can investigate the interconnections between their components, along with their relationships with other systems, in order to understand sustainability as an emergent property. A sustainable CCeS is one that exhibits both enough fitness to achieve its multiple, dynamic, constrained, semi-structured, and often incommensurable and conflicting purposes and objectives while performing above threshold values for failure, and enough flexibility to co-evolve with its changing biophysical and socioeconomic environment. Hence, achieving sustainable CCeSs is a semi-structured, constrained, multi-objective, and dynamic optimization management problem with an intractable phase space. Such problems can be solved with the help of a Co-Evolutionary Navigator, which enhances the manager's decision-making process and co-evolutionary skills, through an increased understanding of the coevolutionary processes among his system, his mental models, and the discovery of new, improved sets of heuristics.

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Product Description

The complex co-evolutionary systems approach (CCeSA) provides a framework to study man-made systems. By studying such entities as self-generated, hierarchical, complex co-evolutionary systems (CCeSs), one can investigate the interconnections between their components, along with their relationships with other systems, in order to understand sustainability as an emergent property. A sustainable CCeS is one that exhibits both enough fitness to achieve its multiple, dynamic, constrained, semi-structured, and often incommensurable and conflicting purposes and objectives while performing above threshold values for failure, and enough flexibility to co-evolve with its changing biophysical and socioeconomic environment. Hence, achieving sustainable CCeSs is a semi-structured, constrained, multi-objective, and dynamic optimization management problem with an intractable phase space. Such problems can be solved with the help of a Co-Evolutionary Navigator, which enhances the manager's decision-making process and co-evolutionary skills, through an increased understanding of the coevolutionary processes among his system, his mental models, and the discovery of new, improved sets of heuristics.

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Product Details

General

Imprint

Lap Lambert Academic Publishing

Country of origin

Germany

Release date

June 2010

Availability

Supplier out of stock. If you add this item to your wish list we will let you know when it becomes available.

First published

June 2010

Authors

Dimensions

229 x 152 x 15mm (L x W x T)

Format

Paperback - Trade

Pages

272

ISBN-13

978-3-8383-5021-9

Barcode

9783838350219

Categories

LSN

3-8383-5021-9



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