Developing agent based modelling for doing logic programming in Hopfield network

In recent studies on artificial intelligence, logic program occupies asignificant position because of its attractive features. Neural networks aredynamic systems in the learning and training phase of their operation andconvergence is an essential feature, so it is necessary for the researchersdeveloping the models and their learning algorithms to find a provablecriterion for convergence in a dynamic system. In this paper, an agent basedmodelling (ABM) was developed by using NETLOGO as a platform tocarry out logic programming in Hopfield network. The developed modelseems to illustrate the task of doing logic programming in a simpler anduser friendly manner.