 The argument does not say that neural networks are unable to model systematicity. One can certainly build a neural network that is systematic. For example, one might build a neural network that can represent that John loves Mary only if it can represent that Mary loves John. The problem is that one might just as well build a neural network that can represent that John loves Mary but cannot represent that Mary loves John. Hence, nothing about the connectionist framework per se guarantees systematicity. For that reason, the framework does not explain the nomic necessity of systematicity. It does not explain why all the minds we find are systematic. In contrast, the classical framework mandates systematicity, and so it explains the nomic necessity of systematicity. The only apparent recourse for connectionists is to adopt the classical explanation, thereby becoming implementationist rather than eliminative connectionists.