  This short paper presents an architectural overview of an agent-based
framework called iv4XR for automated testing that is currently under
development by an H2020 project with the same name. The framework's intended
main use case of is testing the family of Extended Reality (XR) based systems
(e.g. 3D games, VR sytems, AR systems), though the approach can indeed be
adapted to target other types of interactive systems. The framework is unique
in that it is an agent-based system. Agents are inherently reactive, and
therefore are arguably a natural match to deal with interactive systems.
Moreover, it is also a natural vessel for mounting and combining different AI
capabilities, e.g. reasoning, navigation, and learning.
