Because these are self-organizing developmental processes, they generate not onlystrong regularities but also diversity across individual developmental trajectories. Forexample, in most runs, one observes successively unorganized body babbling, thenfocused exploration of head movements, then exploration of touching an object, thengrasping an object, and finally vocalizing toward a peer robot (pre-programmed to imi-tate). This can be explained as gradual exploration of new progress niches, and thosestages and their ordering can be viewed as a form of attractor in the space of develop-mental trajectories. Yet, with the same mechanism and same initial parameters, individualtrajectories may invert stages, or even generate qualitatively different behaviors. This isdue to stochasticity, to even small variability in the physical realities and to the fact thatthis developmental dynamic system has several attractors with more or less extended andstrong domains of attraction (characterized by amplitude of learning progress)
🔥🔥🔥 can reproduce classic learnings sequences. plus some variety.