Model of intelligent agents’ exploratory behavior in a composition of multiagent robot lunar rovers based on neural networks

In this paper we propose architecture of a complex neural network control system, which allows on the basis of formalization of the intellectual decision process to implement the research behavior of the robot in autonomous multi-agent solve a wide range of tasks in a dynamic stochastic partially observable environment.