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UAL Research Online

Advances in complexity engineering

Frei, Regina and Di Marzo Serugendo, Giovanna (2011) Advances in complexity engineering. International journal of bio-inspired computation, 3 (4). 199 - 212. ISSN 1758-0366

Type of Research: Article
Creators: Frei, Regina and Di Marzo Serugendo, Giovanna
Description:

Complexity science has seen increasing interest in the recent years. Many engineers have discovered that traditional methods come to their limits when coping with complex adaptive systems or autonomous agents. To find alternatives, complexity science can be applied to engineering, resulting in a quickly growing field, referred to as complexity engineering. Most current efforts come either from scientists who are interested in bio-inspired methods and working in computer science or mobile robots, or they come from the area of systems engineering. This article is the second part of a set of two articles on this topic; the first one reviewed the definitions of the most important concepts such as emergence and self-organisation from an engineer’s perspective, and analysed different types of nature-inspired technology. This article provides a survey of the currently existing approaches to complexity engineering. In the end, challenges ahead are indicated.

Official Website: https://www.inderscienceonline.com/doi/abs/10.1504/IJBIC.2011.041144
Keywords/subjects not otherwise listed: Applied and Computational Mathematics;Artificial Intelligence and Intelligent Systems;Biosciences and Bioinformatics;COMPUTING JOURNALS;Computing Science, Applications and Software;TECHNICAL JOURNALS
Publisher/Broadcaster/Company: Inderscience
Date: 12 July 2011
Digital Object Identifier: 10.1504/IJBIC.2011.041144
Date Deposited: 26 Jul 2024 16:00
Last Modified: 14 Aug 2024 13:51
Item ID: 22324
URI: https://ualresearchonline.arts.ac.uk/id/eprint/22324

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