Defining and detecting emergence in complex networks

Fabio Boschetti; Mikhail Prokopenko; Ian Macreadie; Anne Marie Grisogono

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 proceeding › Conference proceeding contribution › peer-review

31 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 language	English
Title of host publication	Knowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings
Place of Publication	Berlin ; Heidelberg
Publisher	Springer, Springer Nature
Pages	573-580
Number of pages	8
Volume	3684 LNAI
ISBN (Print)	354028897X, 9783540288978
Publication status	Published - 2005
Externally published	Yes
Event	9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005 - Melbourne, Australia Duration: 14 Sept 2005 → 16 Sept 2005

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3684 LNAI
ISSN (Print)	03029743
ISSN (Electronic)	16113349

Other

Other	9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005
Country/Territory	Australia
City	Melbourne
Period	14/09/05 → 16/09/05

Cite this

Boschetti, F., Prokopenko, M., Macreadie, I., & Grisogono, A. M. (2005). Defining and detecting emergence in complex networks. In Knowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings (Vol. 3684 LNAI, pp. 573-580). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3684 LNAI). Springer, Springer Nature.

Boschetti, Fabio ; Prokopenko, Mikhail ; Macreadie, Ian et al. / Defining and detecting emergence in complex networks. Knowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings. Vol. 3684 LNAI Berlin ; Heidelberg : Springer, Springer Nature, 2005. pp. 573-580 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Defining and detecting emergence in complex networks",

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.",

author = "Fabio Boschetti and Mikhail Prokopenko and Ian Macreadie and Grisogono, \{Anne Marie\}",

year = "2005",

language = "English",

isbn = "354028897X",

volume = "3684 LNAI",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer, Springer Nature",

pages = "573--580",

booktitle = "Knowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings",

address = "United States",

note = "9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005 ; Conference date: 14-09-2005 Through 16-09-2005",

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Boschetti, F, Prokopenko, M, Macreadie, I & Grisogono, AM 2005, Defining and detecting emergence in complex networks. in Knowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings. vol. 3684 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3684 LNAI, Springer, Springer Nature, Berlin ; Heidelberg, pp. 573-580, 9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005, Melbourne, Australia, 14/09/05.

Defining and detecting emergence in complex networks. / Boschetti, Fabio; Prokopenko, Mikhail; Macreadie, Ian et al.
Knowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings. Vol. 3684 LNAI Berlin ; Heidelberg: Springer, Springer Nature, 2005. p. 573-580 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3684 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

TY - GEN

T1 - Defining and detecting emergence in complex networks

AU - Boschetti, Fabio

AU - Prokopenko, Mikhail

AU - Macreadie, Ian

AU - Grisogono, Anne Marie

PY - 2005

Y1 - 2005

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/33745326150

M3 - Conference proceeding contribution

AN - SCOPUS:33745326150

SN - 354028897X

SN - 9783540288978

VL - 3684 LNAI

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 573

EP - 580

BT - Knowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings

PB - Springer, Springer Nature

CY - Berlin ; Heidelberg

T2 - 9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005

Y2 - 14 September 2005 through 16 September 2005

ER -

Boschetti F, Prokopenko M, Macreadie I, Grisogono AM. Defining and detecting emergence in complex networks. In Knowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings. Vol. 3684 LNAI. Berlin ; Heidelberg: Springer, Springer Nature. 2005. p. 573-580. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

Defining and detecting emergence in complex networks

Abstract

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