ResearchResearch paperRobotics & Embodied AI · Agents & Tool Use · Reinforcement Learning1 source · Oct 16, 2026

Preservation and loss of algorithmic structure in experimental diffusion of joint-action norms

These results demonstrate that interactive reasoning mediates selective pressures on structural complexity during cultural evolution of procedural norms.

Key points

  • Everyday norms of social interaction - e.g. norms of sharing space, taking turns, or queuing - are essential to large societies, offering structured procedures for common interactions.
  • However, it remains unclear how the underlying algorithms of these implicit joint plans evolve as they diffuse through populations.
  • Here we show that this process of diffusion can select against complex algorithms in the earliest stages.
  • We conducted a large-scale study of experimental diffusion of novel social norms among human participants, leveraging advances in program synthesis to characterize the procedures people developed in independent populations.

Sources (1)

  • [1]Preservation and loss of algorithmic structure in experimental diffusion of joint-action norms
    arXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 16, 07:22 PM
    These results demonstrate that interactive reasoning mediates selective pressures on structural complexity during cultural evolution of procedural norms.
    Everyday norms of social interaction - e.g. norms of sharing space, taking turns, or queuing - are essential to large societies, offering structured procedures for common interactions.

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