Visualizing evolutionary dynamics of self-replicators using graph-based genealogy

Chris Salzberg, Antony Antony, Hiroki Sayama

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

We present a general method for evaluating and visualizing evolutionary dynamics of self-replicators using a graph-based representation for genealogy. Through a transformation from the space of species and mutations to the space of nodes and links, evolutionary dynamics are understood as a flow in graph space. Mapping functions are introduced to translate graph nodes to points in an n-dimensional visualization space for interpretation and analysis. Using this scheme, we evaluate the effect of a dynamic environment on a population of self-reproducing loops. Resulting images visually reveal the critical role played by genealogical graph space partitioning in the evolutionary process.

本文言語English
ホスト出版物のタイトルAdvances in Artificial Life
編集者Wolfgang Banzhaf, Jens Ziegler, Thomas Christaller, Peter Dittrich, Jan T. Kim
出版社Springer Verlag
ページ387-394
ページ数8
ISBN(印刷版)3540200576, 9783540200574
出版ステータスPublished - 2003 1 1
外部発表はい
イベント7th European Conference on Artificial Life, ECAL 2003 - Dortmund, Germany
継続期間: 2003 9 142003 9 17

出版物シリーズ

名前Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
2801
ISSN(印刷版)0302-9743

Other

Other7th European Conference on Artificial Life, ECAL 2003
国/地域Germany
CityDortmund
Period03/9/1403/9/17

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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