Year: 2018
Type: dissertation
Abstract: 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.i
Author: Hani Louie Francisco
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2971723915