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Proceedings of the 3rd Workshop on Models and Representations in Spatial Cognition (MRSC-3) at 11th International Conference on Spatial Cognition 2018

Authors Tyler Thrash
Simon Dobnik
John D. Kelleher
Publication year 2018
Published at Department of Philosophy, Linguistics and Theory of Science
Language en
Keywords spatial cognition, models
Subject categories Cognitive science, Linguistics, Computational linguistics


As scientists who study spatial cognition, we ultimately want to explain how people acquire and use spatial information. Many explanations in spatial cognition rely on descriptive theories. However, lack of formal specification sometimes causes these theories to be imprecise and difficult to falsify. Computational modelling can be used to formalise and test theories in spatial cognition. In turn, spatial cognition provides new challenges to computational modelling such as the abstraction of spatial data into representations conceivable by humans (e.g., spatial language, spatial images) and the translation of abstracted spatial data (i.e., spatial models and representations) into behaviour among constantly changing environmental conditions. Whether models and representations of spatial cognition focus on linguistic or visual perspectives, they should eventually converge on some scientific truth. Addressing these challenges requires the combination of knowledge from various disciplines, including linguistics, psychology, neuroscience, computer science, architecture, transport engineering, and geography.

Page Manager: Webmaster|Last update: 9/11/2012

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