Santos, Paulo E.Cabalar, PedroFalomir, ZoeTenbrink, Thora2024-10-112024-10-112024-10-06Santos, P. E., Cabalar, P., Falomir, Z., & Tenbrink, T. (2024). Representing and solving spatial problems. Spatial Cognition & Computation, 1–14. https://doi.org/10.1080/13875868.2024.2411052http://hdl.handle.net/2183/39567[Abstract]: Everyday life unfolds in both space and time, with our spatialexperiences playing a central role in our interactions with theworld. To grasp human cognition, it s essential to understandhow we perceive spatial relationships and tackle spatio-temporalchallenges. Over the past few decades, research in spatial cogni-tion has made significant strides, particularly in developing com-putational 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 tocontextualize the three contributions featured in this issue.engAtribución-NoComercial-SinDerivadas 3.0 Españahttp://creativecommons.org/licenses/by-nc-nd/3.0/es/Knowledge representationLanguage analysis and cognitive processesProblem solvingSpatial reasoningjournal articleopen access10.1080/13875868.2024.2411052