Semantic Bayesian hyper-graphs where each of the percepts have strong correlation between each other.
I’d argue you could bind them tighter by giving the corners strong relationships to each other as well.
We find these sorts of dense correlations pleasing because it’s the natural way we discover meaning. Even though in this case the meaning is fairly superficial.
I’d argue you could bind them tighter by giving the corners strong relationships to each other as well.
We find these sorts of dense correlations pleasing because it’s the natural way we discover meaning. Even though in this case the meaning is fairly superficial.