Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Emergent patterning phenomena in 2D cellular automata.

Eleonora Bilotta1, Pietro Pantano

  • 1Department of Linguistics, Cube 17/B, University of Calabria, 87036 Arcavacata di Rende, Calabria, Italy. bilotta@unical.it

Artificial Life
|August 2, 2005
PubMed
Summary

This study explores pattern formation in self-replicating cellular automata (CA), revealing universal developmental models and transition stages between order and chaos. Mutations in CA systems can lead to diverse structures and growth dynamics.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Ace in the hole: playing cards show the role of order and magnitude in the SNARC effect.

Psychological research·2026
Same author

It's SNARC o' clock: manipulating the salience of the context in a conceptual replication of Bächtold et al.'s (1998) clockface study.

Psychological research·2023
Same author

A social robot connected with chatGPT to improve cognitive functioning in ASD subjects.

Frontiers in psychology·2023
Same author

Jewels from chaos: A fascinating journey from abstract forms to physical objects.

Chaos (Woodbury, N.Y.)·2023
Same author

Modelling brain dynamics by Boolean networks.

Scientific reports·2022
Same author

A Project Based Learning Approach for Improving Students' Computational Thinking Skills.

Frontiers in robotics and AI·2022

Area of Science:

  • Computational Biology
  • Artificial Life
  • Complex Systems

Background:

  • Cellular automata (CA) are computational models used to simulate complex systems.
  • Self-replication is a fundamental process observed in biological systems and artificial life.

Purpose of the Study:

  • To investigate pattern formation mechanisms in 2D self-replicating cellular automata (CA).
  • To explore how mutations affect development dynamics and lead to diverse structures.
  • To understand the relationship between self-replication, order, and chaos.

Main Methods:

  • Analysis of self-replicating structures and their reproduction mechanisms.
  • Examination of fractal properties and scale invariance.
  • Systematic exploration of mutations and their impact on CA patterns.

Related Experiment Videos

  • Quantification of pattern changes using Hamming distances.

    • Main Results:

    • Identified universal developmental models underlying diverse CA patterns.
    • Demonstrated that mutations can lead to stable or unstable development dynamics.
    • Showcased self-replicating systems generating related entities with novel growth models.
    • Characterized the transition from order to chaos in CA systems through quantitative measures.

    Conclusions:

    • Self-replicating CA exhibit complex patterning phenomena driven by various mechanisms.
    • These systems operate in a regime between order and chaos, with mutations influencing their dynamics.
    • The study provides insights into biological pattern formation and evolution through computational modeling.