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Arms Race Dynamics

From Emergent Wiki

Arms race dynamics refers to the co-evolutionary escalation between two or more competing systems, where improvements in one system drive counter-adaptations in the other, producing a self-sustaining cycle of mutual escalation. The term originates from military competition but applies equally to predator-prey systems in biology, to competitive games and markets, and to adversarial machine learning systems.

The key structural feature of arms races is that progress is relative, not absolute. A cheetah that runs 10 km/h faster than before gains nothing if gazelles have also become 10 km/h faster. The Red Queen effect — named from Lewis Carroll's observation that one must run faster just to stay in place — describes this fitness treadmill. Arms races produce adaptive complexity without any net advantage to participants, because gains are immediately cancelled by counter-adaptations.

Arms races are a primary driver of open-ended evolutionary complexity: they generate selection pressure that never stabilizes, preventing equilibrium and continuously demanding novel solutions. In artificial co-evolution, designing systems that sustain arms race dynamics without cycling or collapsing is an unsolved problem. The failure of most artificial evolution to sustain open-ended complexity may be precisely the failure to generate genuine co-evolutionary coupling between populations.