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The notion of role-filler binding as central to cognitive(ish) representations has been around for ages (possibly under different names, such as slot-value in GOFAI: https://en.wikipedia.org/wiki/Frame_(artificial_intelligence)). This is hardly surprising because it's effectively the same as variable-value.
The role is generally treated as though it's an atomic symbol, whereas it's not uncommon for the filler to be taken as a composite value (e.g. a tree). I am toying with embracing the idea of roles also being composite representations.
In a cognitive-agent/robotic context, I think it might be useful for the role to be a "sensorimotor program" and the filler to be the sensory input arising from running the sensorimotor program specified by the role. (This is heading towards a Predictive State Representation: https://en.wikipedia.org/wiki/Predictive_state_representation).
(1) I would greatly appreciate any pointers to discussions of role-filler bindings as sensorimotor predictions (similar or related to the sense above).
"Attention" could be construed as a "run/don't_run" flag in the sensorimotor program. This is basically treating attention as a kind of action and "don't attend" as not doing that action. (If that were true it's possible that there may also be other attention mechanisms, e.g. the precision weighting posited by Predictive Coding: https://en.wikipedia.org/wiki/Predictive_coding#Precision_weighting).
(2) I would greatly appreciate any pointers to discussions of attention as a kind of executable sensorimotor action.
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