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Deeply Semantic Inductive Spatio-Temporal Learning
Human-Centred Cognitive Assistance, University of Bremen, Bremen, Germany.
Human-Centred Cognitive Assistance, University of Bremen, Bremen, Germany. (AASS)ORCID-id: 0000-0002-6290-5492
DesignSpace Group, University of Münster, Münster, Germany.
2016 (engelsk)Inngår i: Proceedings of the 26th International Conference on Inductive Logic Programming, CEUR-WS , 2016, s. 73-80Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

We present an inductive spatio-temporal learning framework rooted ininductive logic programming. With an emphasis on visuo-spatial language, logic,and cognition, the framework supports learning with relational spatio-temporalfeatures identifiable in a range of domains involving the processing and interpre-tation of dynamic visuo-spatial imagery. We present a prototypical system, andan example application in the domain of computing for visual arts and computa-tional cognitive science.

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CEUR-WS , 2016. s. 73-80
Serie
CEUR Workshop Proceedings, E-ISSN 1613-0073 ; Vol. 1865
Emneord [en]
Spatio-Temporal Learning; Dynamic Visuo-Spatial Imagery; Declar-ative Spatial Reasoning; Inductive Logic Programming; AI and Art
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Identifikatorer
URN: urn:nbn:se:oru:diva-63599Scopus ID: 2-s2.0-85025121977OAI: oai:DiVA.org:oru-63599DiVA, id: diva2:1168916
Konferanse
26th International Conference on Inductive Logic Programming (Short papers)(ILP 2016), London, UK, September 4-6, 2016
Tilgjengelig fra: 2017-12-21 Laget: 2017-12-21 Sist oppdatert: 2023-05-25bibliografisk kontrollert

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Bhatt, Mehul

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