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What puts the “meta” in metacognition?

Published online by Cambridge University Press:  23 April 2009

Michael L. Anderson
Affiliation:
Department of Psychology, Franklin & Marshall College, Lancaster, PA 17604michael.anderson@fandm.eduhttp://www.agcognition.org Institute for Advanced Computer Studies, University of Maryland, College Park, MD 20742
Don Perlis
Affiliation:
Institute for Advanced Computer Studies, University of Maryland, College Park, MD 20742 Department of Computer Science, University of Maryland, College Park, MD 20742perlis@cs.umd.eduhttp://www.activelogic.org

Abstract

This commentary suggests an alternate definition for metacognition, as well as an alternate basis for the “aboutness” relation in representation. These together open the way for an understanding of mindreading that is significantly different from the one advocated by Carruthers.

Type
Open Peer Commentary
Copyright
Copyright © Cambridge University Press 2009

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References

Anderson, M. L. & Oates, T. (2007) A review of recent research in metareasoning and metalearning. AI Magazine 28(1):716.Google Scholar
Anderson, M. L., Oates, T., Chong, W. & Perlis, D. (2006) The metacognitive loop, I: Enhancing reinforcement learning with metacognitive monitoring and control for improved perturbation tolerance. Journal of Experimental and Theoretical Artificial Intelligence 18(3):387411.CrossRefGoogle Scholar
Anderson, M. L. & Perlis, D. (2005a) Logic, self-awareness and self-improvement: The metacognitive loop and the problem of brittleness. Journal of Logic and Computation 15:2140.CrossRefGoogle Scholar
Anderson, M. L. & Perlis, D. (2005b) The roots of self-awareness. Phenomenology and the Cognitive Sciences 4(3):297333.CrossRefGoogle Scholar
Anderson, M. L. & Rosenberg, G. (2008) Content and action: The guidance theory of representation. Journal of Mind and Behavior 29 (1–2):5586.Google Scholar
Dunlosky, J. (2004) Metacognition. In: Fundamentals of cognitive psychology, 7th edition, ed. Hunt, R. R. & Ellis, H. C.. McGraw-Hill College.Google Scholar
Dunlosky, J. & Bjork, R.A. (2008) Handbook of memory and metamemory. Psychology Press.Google Scholar
Dunlosky, J. & Metcalfe, J. (2009) Metacognition. Sage.Google Scholar
Gallagher, S. (2004) Understanding interpersonal problems in autism: Interaction theory as an alternative to theory of mind. Philosophy, Psychiatry, and Psychology 11(3):199217.CrossRefGoogle Scholar
Gallagher, S. (2005) How the body shapes the mind. Oxford University Press.CrossRefGoogle Scholar
Metcalfe, J. (1993) Novelty monitoring, metacognition, and control in a composite holographic associative recall model: Implications for Korsakoff amnesia. Psychological Review 100:322.CrossRefGoogle Scholar
Metcalfe, J. & Shimamura, A., eds. (1994) Metacognition: Knowing about knowing. MIT Press.CrossRefGoogle Scholar
Nelson, T. O. & Narens, L. (1990) Metamemory: A theoretical framework and some new findings. In: The psychology of learning and motivation, vol. 26, ed. Bower, G. H. pp. 125–73. Academic Press.CrossRefGoogle Scholar
Perlis, D. (1985) Languages with self-reference: I. Foundations. Artificial Intelligence 25:301–22.CrossRefGoogle Scholar
Perlis, D. (1988) Languages with self-reference: II. Knowledge, belief, and modality. Artificial Intelligence 34:179212.CrossRefGoogle Scholar
Perlis, D. (1997) Consciousness as self-function. Journal of Consciousness Studies 4 (5–6):509–25.Google Scholar
Perlis, D. (2000) What does it take to refer? Journal of Consciousness Studies 7(5):6769.Google Scholar
Perlis, D. & Subrahmanian, V. S. (1994) Metalanguages, reflection principles and self-reference. In: Handbook of logic in artificial intelligence and logic programming, vol. 2: Deduction methodologies, ed. Gabbay, D., Hogger, C. J. & Robinson, J. A.. Oxford University Press.Google Scholar