A subtelty
	• The obvious way to implement a relational graph in a neural net is to treat a neuron as a node in the graph and a connection as a binary relationship. But this will not work: – We need many different types of relationship • Connections in a neural net do not have labels. – We need ternary relationships as well as binary ones. e.g. (A is between B and C) – Its just naïve to think neurons are concepts.