world problems are characterized by ongoing change and the fact that the whole problem space is dynamically changing all the time. Nevertheless, this is the kind of problem space that biological system can often excel at due to their highly developed fluid adaptivity. We think that the example of six legged walking can help to demonstrate this point and want to explain in which ways coping strategies for highly dynamic environments in insects, well-investigated hexapod walkers, differ from the above considered types of a learned behavior performance map. Central to the approach in [@cully_robots_2015] is how the behavioral space factorizes the state space. Describing temporal coordination appears as a meaningful representation. Such temporal patterns are traditionally used, in order, to describe how animals move (often plotted over time as footfall patterns, see Figure). While we agree that these patterns provide a highly suitable observational space we want to argue this space might not be used for motor control. Central to our argument is that, especially in six-legged walking animals, fixed gait patterns are typically not observed, but gaits showing high levels of variability. Fixed patterns can mostly be observed during running or walking with a high speed and, in particular, 