C.36.RP:5.3 - Learn a strategy discovered by AI

Brinkmann and colleagues studied a machine-discovered strategy in a constrained reward-network task. Learners selected a demonstrator using available performance, watched and repeated its moves, attempted a solution, and then solved other networks. Nine of fifteen human-machine populations retained the strategy through the tested generations; six later lost it. This supports arranging receiving use while keeping later persistence open to observation. See Brinkmann et al., 2026.