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Identifying qualitatively different outcomes of actions: gaining autonomy through learning., , and . Agents, page 110-111. ACM, (2000)Tools for detecting dependencies in AI systems., , and . ICTAI, page 148-155. IEEE Computer Society, (1995)Detecting Complex Dependencies in Categorical Data., , , and . AISTATS, page 185-195. Springer, (1995)Efficient mining of statistical dependencies., , , and . AISTATS, Society for Artificial Intelligence and Statistics, (1999)Toward Domain-Neutral Human-Level Metacognition., , , , , , and . AAAI Spring Symposium: Logical Formalizations of Commonsense Reasoning, page 1-6. AAAI, (2007)The Metacognitive Loop and Reasoning about Anomalies., , , , , , , , and . Metareasoning, MIT Press, (2011)Contextualizing the global relevance of local land change observations., , , and . CoRR, (2013)Learning What Is Relevant to the Effects of Actions for a Mobile Robot., , , and . Agents, page 247-253. ACM, (1998)A motivational system that drives the development of activity., and . AAMAS, page 358-359. ACM, (2002)A Method for Clustering the Experiences of a Mobile Robot that Accords with Human Judgments., , and . AAAI/IAAI, page 846-851. AAAI Press / The MIT Press, (2000)