In particular, I consider systematicity as generalization to novel position. This is because of the independence between weights which encode and decode component representations across different positions. This means that internal component representations are constructed independently of their position within a complex object. That is by backpropagation update information though the tensor network and weights which generate internal role and filler representations. However, the Tensor-recurrent network was only designed for flat structures.
Further work is needed to handle recursively structured objects.
Postgraduate Diploma in Education , PGDip.