On Introspection, Metacognitive Control and Augmented Data Mining Live Cycles
arXiv:0807.4417
Abstract
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