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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

Chapter:
(p.183) 12 The Metacognitive Loop and Reasoning about Anomalies
Source:
Metareasoning
Author(s):

Matthew D. Schmill

Michael L. Anderson

Scott Fults

Darsana Josyula

Tim Oates

Don Perlis

Hamid Shahri

Shomir Wilson

Dean Wright

Publisher:
The MIT Press
DOI:10.7551/mitpress/9780262014809.003.0012

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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