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MetareasoningThinking about Thinking$
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Michael T. Cox and Anita Raja

Print publication date: 2011

Print ISBN-13: 9780262014809

Published to MIT Press Scholarship Online: August 2013

DOI: 10.7551/mitpress/9780262014809.001.0001

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The Metacognitive Loop and Reasoning about Anomalies

The Metacognitive Loop and Reasoning about Anomalies

(p.183) 12 The Metacognitive Loop and Reasoning about Anomalies

Matthew D. Schmill

Michael L. Anderson

Scott Fults

Darsana Josyula

Tim Oates

Don Perlis

Hamid Shahri

Shomir Wilson

Dean Wright

The MIT Press

This chapter describes an architecture for generalized metacognition—called the metacognitive loop (MCL)—aimed at making artificial intelligence (AI) systems more robust. The key to this enhancement is to characterize a system by its expectations each time it engages in activity, to watch for violations of system expectations, and to attempt to reason in an application-general way about the violation to arrive at a diagnosis and plan for recovery.

Keywords:   metacognition, artificial intelligence, cognitive systems, metacognitive loop

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