# Questions for SSE

If the current state-of-the-art robots are considered in the framework described here, e.g. the winners of the robot football world cup or the autonomous vehicle DARPA challenge, then what is [math]n[/math] for these robots, i.e. what is the dimensional space in which they are working (to the nearest order of magnitude) and how many sensory+motivational contexts are they able to recognise?

- How hard is it to translate the way a current state-of-the-art robot is programmed into the framework described here?

- If very different programming principles are used, why is this? Is there evidence that a strategy along the lines described here would inevitably fail when applied to a complex, unpredictable situation like playing football?

If the strategies used by today’s robots *can* be related to the type of ‘multiple reflex’ approach advocated here, then it would be interesting to trace the rise of [math]n[/math] over time as more complex robots have been developed. Assuming the same thing could be done with animals (and plants), it would be interesting to compare the two plots.