Anticipatory synchronization in artificial agents

Abstract

By integrating theories and methodologies from a diverserange of scientific disciplines (e.g., physics, neuroscience,cognitive science, psychology and robotics engineering) thepresent work is aimed at harnessing self-organizedanticipatory synchronization in order to advance human-robotic interaction (HRI). This phenomenon is characterizedby the emergence of anticipatory behavior by one systemcoupled to the chaotic behavior of another, following theintroduction of short self-referential delays in the coordinatingsystem. The current set of studies involved the creation of anartificial agent based on a time-delayed, low-dimensionaldynamical model capable of behaving prospectively during aninteraction with a human actor performing complex,unpredictable behaviors. By achieving characteristics similarto those observed during natural human interaction andcoordination, the time-delayed modeling approachedadvocated here provides the potential for considerable futureadvancements in HRI.