Representing and solving spatial problems

Everyday life unfolds in both space and time, with our spatial experiences playing a central role in our interactions with the world. To grasp human cognition, it s essential to understand how we perceive spatial relationships and tackle spatio-temporal challenges. Over the past few decades, research in spatial cognition has made significant strides, particularly in developing computational methods for knowledge representation and reasoning. This special issue explores various approaches to formalizing, implementing, and automating solutions for spatial problems. In this introduction, we provide a current literature review to contextualize the three contributions featured in this issue.