Thus, as the number of concepts grows, more concept nodes must be added to the system. Time Time is used in Hadley's model as a sequencing agent only. Input is presented, in the form of a sequence of words. From the sequence of input words, the model must deduce the end of sentences - there are no explicit sentence delimiters in the input. However, on recognition of the end of a sentence, the network activations are externally reset to zero.
Processing is performed in a distinct sequence.
Initially, the activations of all nodes are set to zero. The master p-node core is externally activated causing it to fire, spreading activation to its thematic site nodes. Assuming successful training, the agent site wins a WTA competition, and is activated. Next, an input node is activated, and activation flows to the semantic layer. This should activate the associated concept node.