SCTAG: A Mildly Context-Sensitive Formalism For Modeling Complex Intentions in Spatially Structured Environments

Peter Kiefer

The way we represent intentions, behaviors, and the spatial context, is crucial for any approach to mobile intention recognition. Formal grammars are cognitively comprehensible and make expressiveness properties explicit. By adding spatial domain knowledge to a grammar we can reduce parsing ambiguities. We argue that there are a number of mobile intention recognition problems which require the expressiveness of a mildly context-sensitive grammar and discuss Spatially Constrained Tree-Adjoining Grammars.


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