The Study of Robot Interaction Algorithms Using Intelligent Simulation Agents

The paper presents a study of robot interaction algorithms. The study of algorithms that control the behavior of robots is relevant due to the development of robotic means and their wide application in various fields: in manufacturing, medicine, military. The paper considers the application of nanorobot swarms in medicine. The study is performed using simulation methods. The simulation system NetLogo is used as a toolkit. The Netlogo simulation system is agent-based system. In the first part of the article, experiments using reactive agents are performed. Next, we consider intelligent agents that can make decisions related to the optimization of the algorithms by which they act. A series of experiments were carried out with intelligent agents and the values of parameters that affect the time of destruction of “bad” cells were determined.