Decomposition, integration, and emergence in complex system design

Efatmaneshnik, Mahmoud and Reidsema, Carl (2009) Decomposition, integration, and emergence in complex system design. Nonlinear Phenomena in Complex Systems, 12 3: 211-231.

Author Efatmaneshnik, Mahmoud
Reidsema, Carl
Title Decomposition, integration, and emergence in complex system design
Journal name Nonlinear Phenomena in Complex Systems   Check publisher's open access policy
ISSN 1561-4085
Publication date 2009
Sub-type Article (original research)
Open Access Status
Volume 12
Issue 3
Start page 211
End page 231
Total pages 21
Place of publication Minsk, Belarus
Publisher Education and Upbringing Publishing
Language eng
Abstract Integrated product development requires that decomposition and integration schemes be congruent and in harmony with each other. This harmony marks a product development project with success. In domain of problem solving one needs to resort to simulation based techniques to gain insight into problem structure, its underlying couplings and complexity. The core idea, however, is around the fact that by using an arbitrary complexity measure that satisfies primary criteria of representing the complexity of a graph, general and useful results may be concluded with regard to problem classification. Here, we refer to the problem structure as the self map of the system. Usually for large scale problems the self needs to be decomposed for tractability purposes the structure of the problem after decomposition is the real structure to be dealt with. We refer to complexity of the system/problem before decomposition as self complexity and complexity of system after decomposition as real complexity. It is reasoned that regardless of type of complexity measure, the real complexity cannot be less than the self complexity. Furthermore, it is noted that emergence laws of weak emergence and strong emergence can be explained by using a justified complexity measure. This would have important implications in problem classification and choosing the right design process that is in congruence with complexity of the problem.
Keyword Complexity
Spectral partitioning
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Unknown

Document type: Journal Article
Sub-type: Article (original research)
Collections: Faculty of Engineering, Architecture and Information Technology Publications
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Created: Wed, 19 Oct 2011, 16:00:42 EST by Viviane Victoria Crosthwaite on behalf of Faculty Of Engineering, Architecture & Info Tech