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Representing and solving spatial problems
PrioriAnalytica, Adelaide, Australia.
University of A Coruña, A Coruña, Spain.
Umeå University, Faculty of Science and Technology, Department of Computing Science.
School of Arts, Culture and Languge, Bangor University, Bangor, United Kingdom.
2025 (English)In: Spatial Cognition and Computation, ISSN 1387-5868, E-ISSN 1573-9252, Vol. 25, no 1, p. 1-14Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
Taylor & Francis Group, 2025. Vol. 25, no 1, p. 1-14
Keywords [en]
knowledge representation, language analysis and cognitive processes, problem solving, spatial reasoning
National Category
Computer Sciences General Language Studies and Linguistics
Identifiers
URN: urn:nbn:se:umu:diva-230837DOI: 10.1080/13875868.2024.2411052ISI: 001326651300001Scopus ID: 2-s2.0-85205720615OAI: oai:DiVA.org:umu-230837DiVA, id: diva2:1906617
Funder
Wallenberg AI, Autonomous Systems and Software Program (WASP)Available from: 2024-10-18 Created: 2024-10-18 Last updated: 2025-01-13Bibliographically approved

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Falomir, Zoe

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CiteExportLink to record
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  • apa
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  • en-GB
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