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Semantic Interpretation of Multi-Modal Human-Behaviour Data

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dc.contributor.authorBhatt, Mehul
dc.contributor.authorKersting, Kristian
dc.date.accessioned2018-01-08T08:13:27Z
dc.date.available2018-01-08T08:13:27Z
dc.date.issued2017
dc.description.abstractThis special issue presents interdisciplinary research—at the interface of artificial intelligence, cognitive science, and human-computer interaction—focussing on the semantic interpretation of human behaviour. The special issue constitutes an attempt to highlight and steer foundational methods research in artificial intelligence, in particular knowledge representation and reasoning, for the development of human-centred cognitive assistive technologies. Of specific interest and focus have been application outlets for basic research in knowledge representation and reasoning and computer vision for the cognitive, behavioural, and social sciences.
dc.identifier.pissn1610-1987
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/11080
dc.publisherSpringer
dc.relation.ispartofKI - Künstliche Intelligenz: Vol. 31, No. 4
dc.relation.ispartofseriesKI - Künstliche Intelligenz
dc.subjectArtificial intelligence
dc.subjectCognitive science
dc.subjectDeep semantics
dc.subjectHuman behaviour studies
dc.subjectMultimodality
dc.subjectSpatial cognition
dc.subjectVisual perception
dc.titleSemantic Interpretation of Multi-Modal Human-Behaviour Data
dc.typeText/Journal Article
gi.citation.endPage320
gi.citation.startPage317

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Künstliche Intelligenz 31(4) - November 2017