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dc.contributor.authorBesold, Tarek R.
dc.date2016-10-01
dc.date.accessioned2018-01-08T09:23:21Z
dc.date.available2018-01-08T09:23:21Z
dc.date.issued2016
dc.identifier.issn1610-1987
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/11551
dc.description.abstractThe PhD thesis 'On Cognitive Aspects of Human-Level Artificial Intelligence' summarises several connected lines of work from the field of human-level artificial intelligence (HLAI) research. Among others, complexity and approximation properties of the heuristic-driven theory projection analogy engine have been examined, and the framework has been applied to modelling tasks in cognitive psychology and the learning sciences. Additionally, the general importance and applicability of formal methods as potential guidance for research and development of systems in AI/HLAI has been outlined and exemplified. Finally, questions for the scientific status of AI/HLAI and for means of assessing or measuring progress in the field have been discussed.
dc.publisherSpringer
dc.relation.ispartofKI - Künstliche Intelligenz: Vol. 30, No. 0
dc.relation.ispartofseriesKI - Künstliche Intelligenz
dc.subjectCognitive artificial intelligence
dc.subjectCognitive science
dc.subjectCognitive systems
dc.subjectEducation and learning science
dc.subjectPhilosophy of artificial intelligence
dc.titleOn Cognitive Aspects of Human-Level Artificial Intelligence
dc.typeText/Journal Article
mci.reference.pages343-346
gi.identifier.doi10.1007/s13218-016-0435-y


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