On Introspection, Metacognitive Control and Augmented Data Mining Live Cycles
Abstract
Description
We 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.
10 pages, 3 figures
10 pages, 3 figures