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Evolution has produced a multi-scale mosaic of interacting adaptive units.Innovations arise when perturbations push parts of the system away from stableequilibria into new regimes where previously well-adapted solutions no longerwork. Here we explore the hypothesis that multi-agent systems sometimes displayintrinsic dynamics arising from competition and cooperation that provide anaturally emergent curriculum, which we term an autocurriculum. The solution ofone social task often begets new social tasks, continually generating novelchallenges, and thereby promoting innovation. Under certain conditions thesechallenges may become increasingly complex over time, demanding that agentsaccumulate ever more innovations.

Autocurricula and the Emergence of Innovation from Social Interaction: A Manifesto for Multi-Agent Intelligence Research