Complexity: Metrics and Modules

Research output: Contribution to journalArticle

Abstract

Complex systems are of vast importance in the practical world as well as presenting many theoretical challenges. The measurement of system complexity is still imprecise. For many systems, their modular construction brings challenges in understanding how modules form and the emergent behavior which may result. In other systems, it is the development of encodings and communication protocols which allow complexity to increase dramatically. We take a broad view of these issues and then consider the nature of the system space which generates complexity. We show examples from cellular automata and applications of neural networks to data mining which suggest that complex systems often occupy simple structured sub-spaces. Finally, we look at the way modularity relates to networks and the implications for understanding human cognitive processing.
Original languageEnglish
Pages (from-to)313-329
Number of pages17
JournalAdvances in Complex Systems
Volume6
Issue number3
DOIs
Publication statusPublished - 2003

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