[eng] A simple model for an idiotypic network is used to look at memory
in the immune system. In the model, a network node corresponds
to an idiotype, and the links represent idiotypic interactions. A different updating scheme called asynchronous updating was proposed, and
it yielded similar results with synchronous updating but with an extended range of influx probability values that does not result to chaotic
dynamics. The choice of influx probability remains to affect the system
significantly. Memory was observed in the system, especially when
the influx probability is low, although no memory cells were incorporated in the network. Time evolution shows the system losing some of
its memory, and for systems with high influx probabilities, most of the
information is forgotten after some time. Systems with low influx probability continue to hold residual information even after a long time.