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Spatially Constrained Grammars for Mobile Intention Recognition

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Spatial Cognition VI. Learning, Reasoning, and Talking about Space (Spatial Cognition 2008)

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Abstract

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 best for frequently occurring intentional patterns. We argue that our grammars are cognitively comprehensible, while at the same time helping to prune the search space for intention recognition.

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Authors and Affiliations

  1. Laboratory for Semantic Information Technologies, Otto-Friedrich-University Bamberg, 96045, Bamberg, Germany

    Peter Kiefer

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  1. Peter Kiefer
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Christian Freksa Nora S. Newcombe Peter Gärdenfors Stefan Wölfl

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Kiefer, P. (2008). Spatially Constrained Grammars for Mobile Intention Recognition. In: Freksa, C., Newcombe, N.S., Gärdenfors, P., Wölfl, S. (eds) Spatial Cognition VI. Learning, Reasoning, and Talking about Space. Spatial Cognition 2008. Lecture Notes in Computer Science(), vol 5248. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87601-4_26

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  • DOI: https://doi.org/10.1007/978-3-540-87601-4_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-87600-7

  • Online ISBN: 978-3-540-87601-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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