Simultaneous cooperative and conflicting behaviors handled by a gene regulatory network

In many current developmental models, artificial Gene Regulatory Networks (GRN) simulate cell behavior. More specifically, GRN can determine and regulate cell behaviors using collected external signals through protein sensors. In this paper, we propose to use the GRN properties to control an agent using external perception. More precisely, we will try to evaluate how a GRN can handle and manage simultaneously four conflicting and cooperative continuous actions to solve a new experiment, the Radbot.