Characterize evolutionary dynamics in computational systems relative to biological evolution

Characterize the kinds of evolutionary dynamics that arise in computational substrates of interacting, self-modifying programs, and determine whether those dynamics resemble biological evolution or manifest significant differences, using comparative analysis of replicator behavior, adaptation, and ecosystem-level phenomena.

Background

The paper documents ecosystem-like behaviors and multi-stage transitions in several computational substrates, including competition among replicators, parasitism, and successive takeovers by more capable variants. These phenomena invite comparison to biological evolution.

The authors highlight the need to determine whether the observed computational evolutionary dynamics align with biological mechanisms or exhibit distinct patterns, structures, or constraints.

References

Several open questions arise from these investigations that warrant further investigations. Finally, what kind of evolution can arise in these computational systems? Would it be similar to what we observe in nature or would it manifest notable differences?

— Computational Life: How Well-formed, Self-replicating Programs Emerge from Simple Interaction  (2406.19108 - Arcas et al., 2024) in Discussion

Extending the analysis to asymmetric energy, continuous mutation, and external tasks remains an open challenge.

— Tapes Together Strong: The Co-evolution of Computation and Cooperation  (2609.10817 - Jha et al., 9 Sep 2026) in Discussion, Limitations paragraph; Appendix Section “Sufficient Conditions for Autopoietic Cooperation under Endogenous Time and Uniform, Exogenous Energy”