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Conference papers

Qualitative Reasoning with Story-Based Motion Representations: Inverse and Composition

Abstract : Representations of motion that are story-based constitute a promising tool to categorise the motion of entities, because they can be generated using any qualitative spatial representation, and they consider explicitly the speed of the entities. Up to the present, mainly categorisation properties of the story-based representations have been presented. In this paper we show how story-based representations allow for the reasoning operations that the qualitative calculi possess, namely, inverse and composition—We provide a method to compute the inverse, and a method that notably simplifies the computation of the composition.
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Submitted on : Friday, July 20, 2018 - 10:57:51 AM
Last modification on : Thursday, January 6, 2022 - 11:38:05 AM
Long-term archiving on: : Sunday, October 21, 2018 - 4:29:20 PM


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  • HAL Id : hal-01845166, version 1


Juan Arrufi, Alexandra Kirsch. Qualitative Reasoning with Story-Based Motion Representations: Inverse and Composition. 31st International Workshop on Qualitative Reasoning, co-located at Int'l Joint Conference on Artificial Intelligence (IJCAI'18), Jul 2018, Stockholm, Sweden. ⟨hal-01845166⟩



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