On Introspection, Metacognitive Control and Augmented Data Mining Live Cycles

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dc.creatorSonntag, Daniel
dc.date2008-07-28
dc.date2009-01-15
dc.date.accessioned2026-07-07T12:29:24Z
dc.date.available2026-07-07T12:29:24Z
dc.descriptionWe discuss metacognitive modelling as an enhancement to cognitive modelling and computing. Metacognitive control mechanisms should enable AI systems to self-reflect, reason about their actions, and to adapt to new situations. In this respect, we propose implementation details of a knowledge taxonomy and an augmented data mining life cycle which supports a live integration of obtained models.
dc.description10 pages, 3 figures
dc.identifierhttps://arxiv.org/abs/0807.4417
dc.identifierhttp://arxiv.org/abs/0807.4417
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/215862
dc.subjectArtificial Intelligence
dc.subjectI.2.0
dc.titleOn Introspection, Metacognitive Control and Augmented Data Mining Live Cycles
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