Vocabulary Networks: Program-4
This simulation illustrates how a vocabulary network
responds when some of its words turn ON more easily.
It builds a 1000 word network and lets the network
settle into a stable attactor state.
Parameter nEv controls the number of events in the
simulation. Each EVENT activates a single word, and
changes its type from an AND word to an OR word.
THINGS TO DO.
Find a network with a low level of activation. Set
Set nEv to 20 and run the simulation.
How does the network respond to events?
Now increase the value of the nEv parameter. What is
the smallest value of nEv that causes your network to
move to a new attractor state?
QUESTIONS TO ASK.
How many different attractor states can you find?
Do all events have the same effect on your network?
Why do some events have no effect at all?
What implications does this set of behaviours have
for theories of L2 vocabulary acquisition?