“…Interacting agent models are at the basis of the microscopic description of the rich variety of collective, emergent phenomena that high dimensional complex systems often exhibit. Common applications of such models range from synchronisation of nonlinear oscillators [1][2][3][4][5][6][7][8], see also the recent special issue [9], phase transitions in complex energy landscapes [10,11] to opinion dynamics and consensus formation [12,13], socio-economic sciences [14,15], life sciences [16], the dynamics of the brain [17], formation of swarms [18,19], dynamical networks [20], self-gravitating systems [21,22] and algorithms for optimisation and training of neural networks [23][24][25]. In the thermodynamic limit, such systems can exhibit phase transitions resulting from the interplay between the interaction among the agents, their internal dynamics and the noise.…”