AUTONOMY OF IA AND THE EFFECT OF THE NOISE FUNCTIONS OF SPACE ON MULTIPLE-AGENT SYSTEMS IN MODELING ANN

In this paper, we explore the biological explanation of Intelligent Autonomous multiple-agent systems. In real environments, there are noises in the form continuous functions that are dependent to the time and affect on incoming data from the environment. In this article we study the effect of noise on the input data and based on it we design the activities of the artificial neural network. Under these circumstances, we can say that the behavior becomes more intelligent (or copes with more ecological pressures).

کلیدواژه ها:

autonomy ، intelligent agent( IA) ، multi-agent systems ، artificial neural networks ، noise function