Events and event prediction are pivotal concepts across much of cognitive science, as demonstrated by the papers in this special issue. We first discuss how the study of events and the predictive processing framework may fruitfully inform each other. We then briefly point to some links to broader philosophical questions about events.

Hebblewhite, Hohwy, and Drummond view the special issue from a machine learning perspective drawing close relations to model‐based, hierarchical reinforcement learning.