This allows the network to process relative clauses. Without decay, the network could not have correctly processed the sentence, as two role site nodes would have had equal activation. Most other aspect of change have been addressed in the previous section on memory, particularly with regards to the change in the networks weights due to learning. Due to the nature of the semantic network, there is an obvious structure to network representations. The semantic layer of the model is similar to a traditional semantic net.
Most structure only changes through different bindings between nodes.
It is this pattern which dictates the final structure of the representation. There are however, some serious limitations in what the network is able to represent. As alluded to earlier, the model represents propositions in the passive and active voices in an identical manner. However, the model is incapable of processing sentences in the passive voice. Although passive voice sentences are not included in the grammar, the networks inability to process them is concerning due to the heavy reliance on role sequences.