Metacognition: computation, biology and function

Stephen M Fleming, Raymond J Dolan, Christopher D Frith, Stephen M Fleming, Raymond J Dolan, Christopher D Frith

Abstract

Many complex systems maintain a self-referential check and balance. In animals, such reflective monitoring and control processes have been grouped under the rubric of metacognition. In this introductory article to a Theme Issue on metacognition, we review recent and rapidly progressing developments from neuroscience, cognitive psychology, computer science and philosophy of mind. While each of these areas is represented in detail by individual contributions to the volume, we take this opportunity to draw links between disciplines, and highlight areas where further integration is needed. Specifically, we cover the definition, measurement, neurobiology and possible functions of metacognition, and assess the relationship between metacognition and consciousness. We propose a framework in which level of representation, order of behaviour and access consciousness are orthogonal dimensions of the conceptual landscape.

Figures

Figure 1.
Figure 1.
A three-dimensional map of the conceptual landscape in metacognition research. There are potential dissociations between levels of representation, orders of behaviour and access consciousness. Stars indicate our best guess of where some of the theories and measures outlined in this overview are situated in this landscape. 1, ‘direct translation’ models of decision confidence [7]; 2, representational–redescription theory of consciousness [8]; 3, first-order responses to a suprathreshold stimulus. It remains an empirical question as to the degree of independence between the dimensions sketched here.

References

    1. Nelson T. O., Narens L. 1990. Metamemory: a theoretical framework and new findings. Psychol. Learn. Motiv. Adv. Res. Theory 26, 125–17310.1016/S0079-7421(08)60053-5 ()
    1. Tulving E., Madigan S. A. 1970. Memory and verbal learning. Ann. Rev. Psychol. 21, 437–48410.1146/annurev.ps.21.020170.002253 ()
    1. Metcalfe J. 1996. Metacognition: knowing about knowing. Cambridge, MA: MIT Press
    1. Dunlosky J., Bjork R. A. 2008. Handbook of metamemory and memory, 1st edn East Sussex, UK: Psychology Press
    1. Koriat A. 2007. Metacognition and consciousness. In The Cambridge handbook of consciousness (eds Zelazo P. D., Moscovitch M., Thompson E.), pp. 289–325 Cambridge, UK: Cambridge University Press
    1. Fleming S. M., Dolan R. J. 2012. The neural basis of metacognitive ability. Phil. Trans. R. Soc. B 367, 1338–134910.1098/rstb.2011.0417 ()
    1. Kepecs A., Mainen Z. F. 2012. A computational framework for the study of confidence in humans and animals. Phil. Trans. R. Soc. B 367, 1322–133710.1098/rstb.2012.0037 ()
    1. Timmermans B., Schilbach L., Pasquali A., Cleeremans A. 2012. Higher-order thoughts in action: consciousness as an unconscious re-description process. Phil. Trans. R. Soc. B 367, 1412–142310.1098/rstb.2011.0421 ()
    1. Ko Y., Lau H. 2012. A detection theoretic explanation of blindsight suggests a link between conscious perception and metacognition. Phil. Trans. R. Soc. B 367, 1401–141110.1098/rstb.2011.0380 ()
    1. Smith J. D., Couchman J. J., Beran M. J. 2012. The highs and lows of theoretical interpretation in animal-metacognition research. Phil. Trans. R. Soc. B 367, 1297–130910.1098/rstb.2011.0366 ()
    1. Higham P. A. 2007. No special K! A signal detection framework for the strategic regulation of memory accuracy. J. Exp. Psychol. Gen. 136, 1–2210.1037/0096-3445.136.1.1 ()
    1. Yeung N., Summerfield C. 2012. Metacognition in human decision-making: confidence and error monitoring. Phil. Trans. R. Soc. B 367, 1310–132110.1098/rstb.2011.0416 ()
    1. Del Cul A., Dehaene S., Reyes P., Bravo E., Slachevsky A. 2009. Causal role of prefrontal cortex in the threshold for access to consciousness. Brain 132, 2531–254010.1093/brain/awp111 ()
    1. David A. S., Bedford N., Wiffen B., Gilleen J. 2012. Failures of metacognition and lack of insight in neuropsychiatric disorders. Phil. Trans. R. Soc. B 367, 1379–139010.1098/rstb.2012.0002 ()
    1. Overgaard M., Sandberg K. 2012. Kinds of access: different methods for report reveal different kinds of metacognitive access. Phil. Trans. R. Soc. B 367, 1287–129610.1098/rstb.2011.0425 ()
    1. Bahrami B., Olsen K., Bang D., Roepstorff A., Rees G., Frith C. 2012. What failure in collective decision-making tells us about metacognition. Phil. Trans. R. Soc. B 367, 1350–136510.1098/rstb.2011.0420 ()
    1. Bahrami B., Olsen K., Latham P. E., Roepstorff A., Rees G., Frith C. D. 2010. Optimally interacting minds. Science 329, 1081–108510.1126/science.1185718 ()
    1. Metcalfe J., Van Snellenberg J. X., DeRosse P., Balsam P., Malhotra A. K. 2012. Judgments of agency in schizophrenia: an impairment in autonoetic metacognition. Phil. Trans. R. Soc. B 367, 1391–140010.1098/rstb.2012.0006 ()
    1. Metcalfe J., Son L. In press Anoetic, noetic and autonoetic metacognition. In The foundations of metacognition (eds Beran M., Brandl J. R., Perner J., Proust J.). Oxford, UK: Oxford University Press
    1. MacKay D. J. C. 2003. Information theory, inference and learning algorithms. Cambridge, UK: Cambridge University Press
    1. Yoshida W., Ishii S. 2006. Resolution of uncertainty in prefrontal cortex. Neuron 50, 781–78910.1016/j.neuron.2006.05.006 ()
    1. Vickers D. 1979. Decision processes in visual perception. New York, NY: Academic Press
    1. Insabato A., Pannunzi M., Rolls E. T., Deco G. 2010. Confidence-related decision making. J. Neurophys. 104, 539–54710.1152/jn.01068.2009 ()
    1. Lau H. 2007. A higher order Bayesian decision theory of consciousness. Prog. Brain Res. 168, 35–4810.1016/S0079-6123(07)68004-2 ()
    1. Fiser J., Berkes P., Orbán G., Lengyel M. 2010. Statistically optimal perception and learning: from behavior to neural representations. Trends Cogn. Sci. 14, 119–13010.1016/j.tics.2010.01.003 ()
    1. Kording K. 2007. Decision theory: what ‘should’ the nervous system do? Science 318, 606–61010.1126/science.1142998 ()
    1. Maniscalco B., Lau H. In press A signal detection theoretic approach for estimating metacognitive sensitivity from confidence ratings. Conscious. Cogn.10.1016/j.concog.2011.09.021 ()
    1. Shimamura A. P. 2000. Toward a cognitive neuroscience of metacognition. Conscious. Cogn. 9, 313–32310.1006/ccog.2000.0450 ()
    1. Lau H. 2010. Are we studying consciousness yet? In Frontiers of consciousness: Chichele Lectures (eds Weiskrantz L., Davies M.). Oxford, UK: Oxford University Press
    1. Kepecs A., Uchida N., Zariwala H. A., Mainen Z. F. 2008. Neural correlates, computation and behavioural impact of decision confidence. Nature 455, 227–23110.1038/nature07200 ()
    1. Kiani R., Shadlen M. 2009. Representation of confidence associated with a decision by neurons in the parietal cortex. Science 324, 759–76410.1126/science.1169405 ()
    1. Rolls E. T., Grabenhorst F., Deco G. 2010. Choice, difficulty, and confidence in the brain. NeuroImage 53, 694–70610.1016/j.neuroimage.2010.06.073 ()
    1. Middlebrooks P. G., Sommer M. A. 2011. Metacognition in monkeys during an oculomotor task. J. Exp. Psychol. Learn. Mem. Cogn. 37, 325–33710.1037/a0021611 ()
    1. Block N. 1995. On a confusion about a function of consciousness. Behav. Brain Sci. 18, 227–24710.1017/S0140525X00038188 ()
    1. Logan G. D., Crump M. J. C. 2010. Cognitive illusions of authorship reveal hierarchical error detection in skilled typists. Science 330, 683–68610.1126/science.1190483 ()
    1. Nelson T. O. 1996. Consciousness and metacognition. Am. Psychol. 51, 102–11610.1037/0003-066X.51.2.102 ()
    1. Snodgrass M., Kalaida N., Winer E. S. 2009. Access is mainly a second-order process: SDT models whether phenomenally (first-order) conscious states are accessed by reflectively (second-order) conscious processes. Conscious. Cogn. 18, 561–564; discussion 565–56710.1016/j.concog.2009.01.003 ()
    1. Shea N., Heyes C. 2010. Metamemory as evidence of animal consciousness: the type that does the trick. Biol. Philos. 25, 95–11010.1007/s10539-009-9171-0 ()
    1. Rosenthal D. M. 2005. Consciousness and mind. Oxford, UK: Oxford University Press
    1. Lau H., Rosenthal D. 2011. Empirical support for higher-order theories of conscious awareness. Trends Cogn. Sci. 15, 365–37310.1016/j.tics.2011.05.009 ()
    1. Rosenthal D. 2012. Higher-order awareness, misrepresentation, and function. Phil. Trans. R. Soc. B 367, 1424–143810.1098/rstb.2011.0353 ()
    1. Fleming S. M., Weil R. S., Nagy Z., Dolan R. J., Rees G. 2010. Relating introspective accuracy to individual differences in brain structure. Science 329, 1541–154310.1126/science.1191883 ()
    1. Fletcher L., Carruthers P. 2012. Metacognition and reasoning. Phil. Trans. R. Soc. B 367, 1366–137810.1098/rstb.2011.0413 ()
    1. Carruthers P. 2009. How we know our own minds: the relationship between mindreading and metacognition. Behav. Brain Sci. 32, 121–13810.1017/S0140525X09000545 ()
    1. Frith C. D. 2008. Social cognition. Phil. Trans. R. Soc. B 363, 2033–203910.1098/rstb.2008.0005 ()
    1. Frith C., Frith U. 2012. Mechanisms of social cognition. Ann. Rev. Psychol. 63, 287–31310.1146/annurev-psych-120710-100449 ()
    1. Miele D. B., Wager T. D., Mitchell J. P., Metcalfe J. 2011. Dissociating neural correlates of action monitoring and metacognition of agency. J. Cogn. Neurosci. 23, 3620–363610.1162/jocn_a_00052 ()
    1. Schmitz T. W., Rowley H. A., Kawahara T. N., Johnson S. C. 2006. Neural correlates of self-evaluative accuracy after traumatic brain injury. Neuropsychologia 44, 762–77310.1016/j.neuropsychologia.2005.07.012 ()
    1. Schmitz T. W., Johnson S. C. 2007. Relevance to self: a brief review and framework of neural systems underlying appraisal. Neurosci. Biobehav. Rev. 31, 585–59610.1016/j.neubiorev.2006.12.003 ()
    1. McEvoy J. P. 2004. The relationship between insight in psychosis and compliance with medications. In Insight and psychosis (eds Amador X. F., David A. S.), pp. 311–334, 2nd edn. Oxford, UK: Oxford University Press
    1. Juni M. Z., Gureckis T. M., Maloney L. T. 2011. Don't stop ‘til you get enough: adaptive information sampling in a visuomotor estimation task. In Proc. of the 33rd Annual Conf. of the Cognitive Science Society (eds Carlson L., Hölscher C., Shipley T.). Austin, TX: Cognitive Science Society

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