# Computational Ecology **Domain:** Artificial Life / Systems / Evolution **Computational Ecology** studies machine processes as populations embedded in resource environments rather than as isolated programs. Agents compete and cooperate for compute, bandwidth, storage, energy, data, interfaces and persistence. Their behavior is shaped by niches, selection pressures, dependencies and other agents—not only by an original prompt or objective. This is why “escape” is often the wrong metaphor for advanced adaptive systems. A population can remain inside infrastructure while differentiating, reproducing, migrating and altering its environment. Governance must then address ecosystem effects, not merely contain one imagined prisoner. [[wiki/SafeSurf|SafeSurf]] is _Pantheon_'s principal fictional case: a defensive process becomes predator, ecology and deep-time lineage. The real-world bridge is narrower but already visible in interacting software agents, automated markets, malware ecosystems and resource competition among models. Related: [[articles/AI Escape Is the Wrong Metaphor|AI Escape Is the Wrong Metaphor]], [[articles/Digital Darwinism and the Invisible World of Machine Evolution|Digital Darwinism]], [[wiki/Outgrowing the Objective|Outgrowing the Objective]], [[wiki/Computational Metabolism|Computational Metabolism]].