Abstract
The representation of and reasoning with spatial and temporal information are central to spatial sciences. Formalizations of both allow the design of efficient computer programs that enable artificial intelligence (AI). The area of knowledge representation, as a subfield of AI but with contributions from the spatial sciences, is playing a leading role in these developments, and a strong subfield exists that is dedicated to qualitative spatial and temporal representation and reasoning (QSTR). The focus on qualitative approaches to reasoning is inspired by an interest in understanding how humans represent, think, and reason with spatial and temporal information from a commonsense, that is, intuitive, perspective. This entry provides an overview on the motivation behind QSTR, with explanations of central concepts such as qualitative calculi and conceptual neighborhood, as well as on cognitive evaluations of proposed approaches and current trends in this area of research.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
