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Associative network are boxes consisting of a set of nodes joined by weighted connections. Nodes may be fully connected, as in interactive activation networks (i.e., there's no limit on activation to "feed forward"), and weights between nodes may be learnt as in feed-forward networks in response to training signals. Associative networks are a generalised form of Hopfield network, and may be configured by setting the network's size, learning rule, learning rate, activation function, etc.

Associative networks may be sent two types of messages:

In both cases, the argument should be a list of numbers representing activation values of nodes. (If the network has 7 nodes, the list should contain exactly 7 elements.) The function of these messages is as follows: