Activation Function of Hopfield Neural Network in Agent Based Modeling

In recent years, most of the researchers in the field of artificial intelligence focused on developing the Agent Based Modelling in order to simplified their learning algorithms. This version of simplification is useful to find a provable criterion for convergence in a dynamic system. In this paper, an agent based modelling (ABM) was developed by using NETLOGO as a platform for activation functions to carry out logic programming in Hopfield network. The developed model seems to illustrate the task of doing logic programming in a simple, flexible and user friendly manner.

Keywords: Hopfield network, NETLOGO, Agent Based Modelling , Logic Program.