Four classes of morphogenetic collective systems

Hiroki Sayama*

*この研究の対応する著者

研究成果

7 被引用数 (Scopus)

抄録

We studied the roles of morphogenetic principles - heterogeneity of components, dynamic differentiation/redifferentiation of components, and local information sharing among components - in the self-organization of morphogenetic collective systems. By incrementally introducing these principles to collectives, we defined four distinct classes of morphogenetic collective systems. Monte Carlo simulations were conducted using an extended version of the Swarm Chemistry model that was equipped with dynamic differentiation/re-differentiation and local information sharing capabilities. Self-organization of swarms was characterized by several kinetic and topological measurements, the latter of which were facilitated by a newly developed network-based method. Results of simulations revealed that, while heterogeneity of components had a strong impact on the structure and behavior of the swarms, dynamic differentiation/re-differentiation of components and local information sharing helped the swarms maintain spatially adjacent, coherent organization.

本文言語English
ホスト出版物のタイトルArtificial Life 14 - Proceedings of the 14th International Conference on the Synthesis and Simulation of Living Systems, ALIFE 2014
編集者Hiroki Sayama, John Rieffel, Sebastian Risi, Rene Doursat, Hod Lipson
出版社MIT Press Journals
ページ320-327
ページ数8
ISBN(電子版)9780262326216
出版ステータスPublished - 2014
外部発表はい
イベント14th International Conference on the Synthesis and Simulation of Living Systems, ALIFE 2014 - Manhattan, United States
継続期間: 2014 7 302014 8 2

出版物シリーズ

名前Artificial Life 14 - Proceedings of the 14th International Conference on the Synthesis and Simulation of Living Systems, ALIFE 2014

Conference

Conference14th International Conference on the Synthesis and Simulation of Living Systems, ALIFE 2014
国/地域United States
CityManhattan
Period14/7/3014/8/2

ASJC Scopus subject areas

  • 生化学、遺伝学、分子生物学(全般)
  • 人工知能
  • モデリングとシミュレーション

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