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

Natural language from artificial life.

Simon Kirby1

  • 1Language Evolution and Computation Research Unit, Department of Theoretical and Applied Linguistics, University of Edinburgh, Adam Ferguson Bldg., 40 George Square, Edinburgh EH8 9LL, Scotland. simon@ling.ed.ac.uk

Artificial Life
|August 13, 2002
PubMed
Summary
This summary is machine-generated.

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

Language models do not yet achieve explanatory adequacy because language is more than incremental prediction.

The Behavioral and brain sciences·2026
Same author

Children's narrow learning bottleneck accelerates the emergence of statistical properties of language.

Cognition·2026
Same author

Cultural Transmission Promotes the Emergence of Statistical Properties That Support Language Learning.

Cognitive science·2025
Same author

With or Without a System: How Category-Specific and System-Wide Cognitive Biases Shape Word Order.

Cognitive science·2025
Same author

What enables human language? A biocultural framework.

Science (New York, N.Y.)·2025
Same author

Linguistic Rule Generalisation Creates the Same Distributional Structure That Feeds It.

Open mind : discoveries in cognitive science·2025
Same journal

If Turing Played Piano With an Artificial Partner.

Artificial life·2026
Same journal

Discovering Partial Differential Equations With Neural Cellular Automata.

Artificial life·2026
Same journal

Book Review: Exploring the Boundaries of Life-as-It-Is.

Artificial life·2026
Same journal

System 0/1/2/3: Quad-Process Theory for Multitimescale Embodied Collective Cognitive Systems.

Artificial life·2025
Same journal

To Engineer an Angel, First Validate the Devil: Analyzing the "Could Be" in Artificial Life's "Life as-It-Could-Be".

Artificial life·2025
Same journal

Untapped Potential in Self-Optimization of Hopfield Networks: The Creativity of Unsupervised Learning.

Artificial life·2025
See all related articles

Linguistics, especially lexico-syntactic study, offers a strong foundation for artificial life (ALife) modeling. ALife techniques can significantly advance explanatory theories of language by simulating complex adaptive systems.

Area of Science:

  • Computational Linguistics
  • Artificial Life (ALife)
  • Theoretical Linguistics

Background:

  • Language structure is influenced by learning, culture, and biological evolution.
  • Artificial life (ALife) modeling offers novel approaches to understanding complex systems.
  • Linguistics provides a rich domain for computational simulation and theoretical exploration.

Purpose of the Study:

  • To demonstrate the utility of artificial life (ALife) modeling in linguistics.
  • To explore the intersection of lexico-syntactic language aspects and ALife techniques.
  • To showcase how ALife can contribute to explanatory theories of language.

Main Methods:

  • Surveying ALife models developed over the last 1.5 decades.
  • Applying computational simulation informed by theoretical linguistics.

Related Experiment Videos

  • Analyzing the interaction of learning, culture, and biological evolution in language structure.

    • Main Results:

    • ALife techniques offer valuable tools for linguistic theory.
    • The lexico-syntactic study of language is highly compatible with ALife modeling.
    • Computational simulations can explain linguistic data through underlying processes.

    Conclusions:

    • The integration of linguistics and ALife provides a powerful framework for understanding language.
    • ALife modeling is crucial for explaining language as a product of complex adaptive systems.
    • Future research should leverage computational simulation to bridge theoretical linguistics and empirical data.