Resilient Life: An Exploration of Perturbed Autopoietic Patterns in Conway’s Game of Life

Arta Cika, Elissa Cohen, Germán Kruszewski, Luther Seet, Patrick Steinmann, Wenqian Yin

Research output: Chapter in Book/Report/Conference proceedingConference paperAcademic

1 Citation (Scopus)

Abstract

Complex systems can exhibit autopoiesis–a remarkable capability to reproduce or restore themselves to maintain existence and functionality. We explore the resilience of autopoietic patterns–their ability to recover from shocks or perturbations–in a simplified form in Conway’s Game of Life. We subject a large number of autopoietic patterns in the Game of Life to various perturbations, and record their responses using multiple resilience metrics. Our results show that while resilience is rare, we are able to identify structural features improving patterns’ resilience. We also draw several parallels between the resilience of patterns in the Game of Life to real-world complex systems. Our work may be useful both for improved searching for resilient patterns in the Game of Life, and for exploring resilience in complex systems.

Original languageEnglish
Title of host publicationALIFE 2020: The 2020 Conference on Artificial Life
Place of PublicationMassachusetts
PublisherMassachusetts Institute of Technology Press
Pages656-664
Volume32
DOIs
Publication statusPublished - 1 Jul 2020
EventConference on Artificial Life, 2020 - Online, Canada
Duration: 13 Jul 202018 Jul 2020

Publication series

NameArtificial Life Conference Proceedings

Conference/symposium

Conference/symposiumConference on Artificial Life, 2020
Abbreviated titleALIFE 2020
Country/TerritoryCanada
CityOnline
Period13/07/2018/07/20

Fingerprint

Dive into the research topics of 'Resilient Life: An Exploration of Perturbed Autopoietic Patterns in Conway’s Game of Life'. Together they form a unique fingerprint.

Cite this