Defining and detecting emergence in complex networks

Fabio Boschetti*, Mikhail Prokopenko, Ian Macreadie, Anne Marie Grisogono

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

27 Citations (Scopus)

Abstract

Emergence is seen as the most significant feature discriminating "complex" from "non complex" systems. Nevertheless, no standard definition of emergence is currently available in the literature. This lack of a shared view affects the development of tools to detect and model emergence for both scientific and engineering applications. Here we review some definitions of emergence with the aim to describe how they can be implemented in algorithms to detect and model emergence in sensor and communication networks.

Original languageEnglish
Title of host publicationKnowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings
Place of PublicationBerlin ; Heidelberg
PublisherSpringer, Springer Nature
Pages573-580
Number of pages8
Volume3684 LNAI
ISBN (Print)354028897X, 9783540288978
Publication statusPublished - 2005
Externally publishedYes
Event9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005 - Melbourne, Australia
Duration: 14 Sep 200516 Sep 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3684 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005
CountryAustralia
CityMelbourne
Period14/09/0516/09/05

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