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Spatially Constrained Grammars for Mobile Intention Recognition
[chapter]
Lecture Notes in Computer Science
Mobile intention recognition is the problem of inferring a mobile agent's intentions from her spatio-temporal behavior. The intentions an agent can have in a specific situation depend on the spatial context, and on the spatially contextualized behavior history. We introduce two spatially constrained grammars that allow for modeling of complex constraints between space and intentions, one based on Context-Free, one based on Tree-Adjoining Grammars. We show which of these formalisms is suited
doi:10.1007/978-3-540-87601-4_26
fatcat:bdos6bnpu5cwpov5wm2ke4jgeu