Defining and detecting emergence in complex networks

被引：0

作者：

Boschetti, F ^{[1
]}

Prokopenko, M

Macreadie, I

Grisogono, AM

机构：

[1] CSIRO Marine Res, Floreat, WA, Australia

[2] CSIRO Informat & Commun Technol Ctr, N Ryde, NSW, Australia

[3] CSIRO Hlth Sci & Nutr, Parkville, Vic, Australia

[4] Def Sci & Technol Org, Edinburgh, Midlothian, Scotland

来源：

KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 4, PROCEEDINGS | 2005年 / 3684卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：573 / 580

页数：8

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