2026-04-14T02:16:39Zhttps://recercat.cat/oai/request

oai:recercat.cat:2445/1196162025-12-04T20:43:24Zcom_2072_1057col_2072_478822col_2072_478917

00925njm 22002777a 4500 dc Baronchelli, A author Díaz Guilera, Albert author 2018-02-06T11:58:38Z 2018-02-06T11:58:38Z 2012-01-23 2018-02-06T11:58:38Z Populations of mobile and communicating agents describe a vast array of technological and natural systems, ranging from sensor networks to animal groups. Here, we investigate how a group-level agreement may emerge in the continuously evolving network defined by the local interactions of the moving individuals. We adopt a general scheme of motion in two dimensions and we let the individuals interact through the minimal naming game, a prototypical scheme to investigate social consensus. We distinguish different regimes of convergence determined by the emission range of the agents and by their mobility, and we identify the corresponding scaling behaviors of the consensus time. In the same way, we rationalize also the behavior of the maximum memory used during the convergence process, which determines the minimum cognitive/storage capacity needed by the individuals. Overall, we believe that the simple and general model presented in this paper can represent a helpful reference for a better understanding of the behavior of populations of mobile agents. Xarxes de sensors Sensor networks Consensus in networks of mobile communicating agents