  Recently, a boxology (graphical language) with design patterns for hybrid AI
was proposed, combining symbolic and sub-symbolic learning and reasoning. In
this paper, we extend this boxology with actors and their interactions. The
main contributions of this paper are: 1) an extension of the taxonomy to
describe distributed hybrid AI systems with actors and interactions; and 2)
showing examples using a few design patterns relevant in multi-agent systems
and human-agent interaction.
