title: Autonomous learning by simple dynamical systems with delayed feedback.
abstract: A general scheme for the construction of dynamical systems able to learn generation of the desired kinds of dynamics through adjustment of their internal structure is proposed. The scheme involves intrinsic time-delayed feedback to steer the dynamics towards the target performance. As an example, a system of coupled phase oscillators, which can, by changing the weights of connections between its elements, evolve to a dynamical state with the prescribed (low or high) synchronization level, is considered and investigated.
authors.affiliation: National Scientific and Technical Research Council and Faculty of Exact and Natural Sciences, National University of Cuyo, Padre Contreras 1300, 5500 Mendoza, Argentina and Abteilung Physikalische Chemie, Fritz-Haber-Institut der Max-Planck-Gesellschaft, Faradayweg 4-6, 14195 Berlin, Germany.
authors.forename: Pablo
authors.initials: P
authors.lastname: Kaluza
authors.affiliation: Abteilung Physikalische Chemie, Fritz-Haber-Institut der Max-Planck-Gesellschaft, Faradayweg 4-6, 14195 Berlin, Germany.
authors.forename: Alexander S
authors.initials: AS
authors.lastname: Mikhailov
mesh_terms: D001185:Artificial Intelligence; D005246:Feedback; D008962:Models, Theoretical; D013997:Time Factors