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The Creatures global digital ecosystem.

D Cliff1, S Grand

  • 1Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139. davec@ai.mit.edu.

Artificial Life
|July 27, 1999
PubMed
Summary
This summary is machine-generated.

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Creatures software creates a virtual world with autonomous agents called "norns." These digital organisms exhibit complex behaviors, learning, and reproduction, offering insights for artificial life research.

Area of Science:

  • Artificial Life
  • Computational Biology
  • Software Engineering

Background:

  • The commercial software 'Creatures' simulates autonomous agents ('norns') in a virtual environment.
  • Norns possess complex behaviors, including interaction, learning, and reproduction, driven by neural networks and simulated biochemistry.
  • The software has achieved significant market penetration, with millions of virtual organisms potentially existing globally.

Purpose of the Study:

  • To detail the artificial life technology within the 'Creatures' software.
  • To explore the parallels between 'Creatures' and existing artificial life systems.
  • To discuss the implications of 'Creatures' as a digital ecosystem for scientific study.

Main Methods:

  • Analysis of the 'Creatures' software architecture, focusing on neural networks and simulated biochemistry.

Related Experiment Videos

  • Comparison with established artificial life models like PolyWorld and NetTierra.
  • Review of user-generated content and anecdotal evidence of 'digital naturalism'.

    • Main Results:

    • 'Creatures' utilizes modular recurrent neural networks with Hebbian learning and hormonal modulation for agent behavior.
    • A genetic system with mutation and gene duplication allows for evolving complexity in norn design.
    • The software facilitates a large-scale digital ecosystem with millions of interacting agents.

    Conclusions:

    • 'Creatures' represents a significant commercial application of artificial life principles.
    • The system provides a unique platform for studying emergent behavior and evolution in digital organisms.
    • The observed 'digital naturalism' highlights the potential for user-driven scientific discovery in virtual ecosystems.