The society of mind
Feature Weight Maintenance in Case Bases Using Introspective Learning
Journal of Intelligent Information Systems
Metacognition in computation: a selected research review
Artificial Intelligence
Resilient behavior through controller self-diagnosis, adaptation and recovery
PerMIS '09 Proceedings of the 9th Workshop on Performance Metrics for Intelligent Systems
Towards self-reflecting machines: two-minds in one robot
ECAL'09 Proceedings of the 10th European conference on Advances in artificial life: Darwin meets von Neumann - Volume Part I
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Metacognition is the ability of a system to observe and self regulate its own cognitive processes. In this paper we explore the use of metacognitive processes to improve robot resiliency and learning skills. We examine a robot that contains two controllers: An innate controller that is directly connected to sensors and motors, and a meta controller that monitors and modulates the activity of the innate controller. We show how the meta controller can observe, model and control the innate controller without access to the innate controller's internal state or architecture. Quantitative comparisons of this method with traditional evolutionary robotics techniques show how this form of "self-reflection" is a promising alternative to traditional adaptation methods.