Generative network automata: A generalized framework for modeling complex dynamical systems with autonomously varying topologies

Hiroki Sayama*

*この研究の対応する著者

研究成果: Conference contribution

18 被引用数 (Scopus)

抄録

We propose a new modeling framework "Generative Network Automata (GNA)" that can uniformly describe both state transitions and autonomous topology transformations of complex dynamical networks. GNA is formulated as an extension of existing complex dynamical network models to include a new set of generative update rules that determine how local network topologies will change based on the current local network states and topologies. This paper introduces basic concepts of GNA, its formal definitions, its generality to represent other dynamical systems models, and some preliminary results of an exhaustive sweep of possible dynamics found in elementary binary GNA with restricted updating rules.

本文言語English
ホスト出版物のタイトルProceedings of the 2007 IEEE Symposium on Artificial Life, CI-ALife 2007
ページ214-221
ページ数8
DOI
出版ステータスPublished - 2007 9月 25
外部発表はい
イベント1st IEEE Symposium on Artificial Life, IEEE-ALife'07 - Honolulu, HI, United States
継続期間: 2007 4月 12007 4月 5

出版物シリーズ

名前Proceedings of the 2007 IEEE Symposium on Artificial Life, CI-ALife 2007

Other

Other1st IEEE Symposium on Artificial Life, IEEE-ALife'07
国/地域United States
CityHonolulu, HI
Period07/4/107/4/5

ASJC Scopus subject areas

  • 計算理論と計算数学
  • 生化学、遺伝学、分子生物学(全般)

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