LATIDIA · Robótica

Las interacciones emergentes conducen a la frustración colectiva en materia robótica

arXiv: 2507.22148v3Announce Type: replace-cross Resumen: La inteligencia artificial y los sistemas robóticos se despliegan cada vez más como colectivos interactivos de agentes de aprendizaje. Esto plantea la cuestión de si la m robótica

La noticia

arXiv:2507.22148v3 Announce Type: replace-cross Abstract: Artificial intelligence and robotic systems are increasingly deployed as interacting collectives of learning agents. This raises the question of whether robotic matter, where many learning agents interact, shows the emergence of collective behaviour. Here we study a paradigmatic model of robotic matter and show the emergence of a range of complex, collective behaviours. Specifically, we study systems composed of stochastic interacting particles, each endowed with a deep neural network that optimises transitions based on its environment. In a one-dimensional system, we show that robotic matter exhibits complex phenomena arising from emergent interactions, including self-organisation into distinct temporal learning regimes, particle species, and long-lived frustrated states