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Robust monomer-distribution biosignatures in evolving digital biota.

Evan D Dorn1, Christoph Adami

  • 1Computation and Neural Systems, California Institute of Technology, Pasadena, California, USA.

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|November 19, 2011
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Organisms leave a unique chemical signature. Digital life also shows a consistent, anomalous instruction signature, suggesting a potential universal biosignature for detecting life beyond Earth.

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Area of Science:

  • Astrobiology
  • Computational Biology
  • Biochemistry

Background:

  • Organisms synthesize molecules based on adaptive utility.
  • This synthesis creates a chemical signature distinct from the local abiotic environment.
  • This principle may extend to non-biological systems exhibiting life-like properties.

Purpose of the Study:

  • To investigate if evolving digital organisms produce an anomalous signature analogous to biological life.
  • To test the robustness of this digital signature across different system parameters and evolutionary trials.
  • To assess the potential of this signature as a non-Earth-centric life diagnostic.

Main Methods:

  • Simulating evolving populations of digital organisms.
  • Analyzing the distribution of computer instructions used by these digital populations.
  • Modifying system physics and parameters to observe effects on the instruction signature.
  • Conducting multiple evolutionary trials to ensure consistency.

Main Results:

  • A consistent anomaly was observed in the abundance of computer instructions used by digital organisms.
  • This instruction abundance anomaly remained robust despite significant changes in system physics and parameters.
  • The signature showed consistency across numerous evolutionary runs.

Conclusions:

  • Evolving digital populations exhibit an anomalous instruction signature similar to biological chemical signatures.
  • This signature is robust and consistent, making it a candidate for a universal biosignature.
  • The findings support the search for life using non-Earth-centric, physics-based diagnostics.