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Chapter 9 - The Adaptive Function of Insight

from IV - After Insight

Published online by Cambridge University Press:  02 May 2024

By
Ruben E. Laukkonen
Edited by
Carola Salvi ,
Jennifer Wiley  and
Steven M. Smith
Carola Salvi
Affiliation:
John Cabot University, Rome
Jennifer Wiley
Affiliation:
University of Illinois, Chicago
Steven M. Smith
Affiliation:
Texas A & M University
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Summary

Insight experiences are powerful: They feel true, they are remembered, and they can shift our decisions and our beliefs. Feelings of insight are also accurate most of the time. However, recent work shows that it is possible to systematically induce false insights and even misattribute our Aha! moments to make false facts seem true. Insights, therefore, seem to be adaptive on average but error prone. This chapter suggests that these results can be integrated by thinking of insights as a metacognitive heuristic for selecting ideas from the stream of consciousness (dubbed the “Eureka heuristic”), reviews key findings about the accuracy of insights and where and why insights go wrong, and discusses implications for our understanding of the development of delusions, false beliefs, and misinformation. Ultimately, understanding the role that feelings of insight play in human cognition may make us better decision-makers in an uncertain world.

Keywords

insightahaheuristicsbiasesdecisionscreativityproblem solving
Type
Chapter
Information
The Emergence of Insight , pp. 183 - 198
Publisher: Cambridge University Press
Print publication year: 2024

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References

Badcock, P. B., Friston, K. J., & Ramstead, M. J. D. (2019). The hierarchically mechanistic mind: A free-energy formulation of the human psyche. Physics of Life Reviews, 31, 104–121. https://doi.org/10.1016/j.plrev.2018.10.002.CrossRefGoogle ScholarPubMed
Bowden, E. M. (1997). The effect of reportable and unreportable hints on anagram solution and the Aha! experience. Consciousness and Cognition, 6(4), 545–573. https://doi.org/10.1006/ccog.1997.0325.CrossRefGoogle ScholarPubMed
Bowden, E., Jung-Beeman, M., Fleck, J., & Kounios, J. (2005). New approaches to demystifying insight. Trends in Cognitive Sciences, 9(7), 322–328. https://doi.org/10.1016/j.tics.2005.05.012.CrossRefGoogle ScholarPubMed
Clark, A. (2013). Whatever next? Predictive brains, situated agents, and the future of cognitive science. Behavioral and Brain Sciences, 36(3), 181–204. https://doi.org/10.1017/S0140525X12000477.CrossRefGoogle ScholarPubMed
Cristofori, I., Salvi, C., Beeman, M., & Grafman, J. (2018). The effects of expected reward on creative problem solving. Cognitive, Affective, & Behavioral Neuroscience, 18(5), 925–931. https://doi.org/10.3758/s13415-018-0613-5.CrossRefGoogle ScholarPubMed
Damasio, A. R. (1996). The somatic marker hypothesis and the possible functions of the prefrontal cortex. Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences, 351(1346), 1413–1420.Google ScholarPubMed
Danek, A. H., Fraps, T., von Müller, A., Grothe, B., & Öllinger, M. (2013). Aha! experiences leave a mark: Facilitated recall of insight solutions. Psychological Research, 77(5), 659–669. https://doi.org/10.1007/s00426-012-0454-8.CrossRefGoogle Scholar
Danek, A. H., Fraps, T., von Müller, A., Grothe, B., & Öllinger, M. (2014). It’s a kind of magic – what self-reports can reveal about the phenomenology of insight problem solving. Frontiers in Psychology, 5:1408. https://doi.org/10.3389/fpsyg.2014.01408.CrossRefGoogle ScholarPubMed
Danek, A. H., & Salvi, C. (2020). Moment of truth: Why Aha! experiences are correct. The Journal of Creative Behavior, 54(2), 484–486. https://doi.org/10.1002/jocb.380.CrossRefGoogle Scholar
Danek, A. H., & Wiley, J. (2017). What about false insights? Deconstructing the Aha! experience along its multiple dimensions for correct and incorrect solutions separately. Frontiers in Psychology, 7, 2077. https://doi.org/10.3389/fpsyg.2016.02077.CrossRefGoogle ScholarPubMed
Danek, A. H., & Wiley, J. (2020). What causes the insight memory advantage? Cognition, 205, 104411. https://doi.org/10.1016/j.cognition.2020.104411.CrossRefGoogle ScholarPubMed
Danek, A. H., Williams, J., & Wiley, J. (2020). Closing the gap: Connecting sudden representational change to the subjective Aha! experience in insightful problem solving. Psychological Research, 84(1), 111–119. https://doi.org/10.1007/s00426-018-0977-8.CrossRefGoogle Scholar
Dougal, S., & Schooler, J. W. (2007). Discovery misattribution: When solving is confused with remembering. Journal of Experimental Psychology: General, 136(4), 577–592. https://doi.org/10.1037/0096-3445.136.4.577.CrossRefGoogle ScholarPubMed
Duncker, K. (1945). On problem-solving (L. S. Lees, Trans.). Psychological Monographs, 58(5), i–113. https://doi.org/10.1037/h0093599.CrossRefGoogle Scholar
FitzGerald, T. H. B., Dolan, R. J., & Friston, K. (2015). Dopamine, reward learning, and active inference. Frontiers in Computational Neuroscience, 9, 136. https://doi.org/10.3389/fncom.2015.00136.CrossRefGoogle ScholarPubMed
Fleck, J. I., & Weisberg, R. W. (2013). Insight versus analysis: Evidence for diverse methods in problem solving. Journal of Cognitive Psychology, 25(4), 436–463. https://doi.org/10.1080/20445911.2013.779248.CrossRefGoogle Scholar
Friston, K. (2008). Hierarchical models in the brain. PLoS Computational Biology, 4(11), e1000211. https://doi.org/10.1371/journal.pcbi.1000211.CrossRefGoogle ScholarPubMed
Friston, K. (2010). The free-energy principle: A unified brain theory? Nature Reviews Neuroscience, 11(2), 127–138. https://doi.org/10.1038/nrn2787.CrossRefGoogle ScholarPubMed
Friston, K. J., Lin, M., Frith, C. D., et al. (2017). Active inference, curiosity and insight. Neural Computation, 29(10), 2633–2683. https://doi.org/10.1162/neco_a_00999.CrossRefGoogle ScholarPubMed
Friston, K., Schwartenbeck, P., FitzGerald, T., et al. (2014). The anatomy of choice: Dopamine and decision-making. Philosophical Transactions of the Royal Society B: Biological Sciences, 369(1655), 20130481. https://doi.org/10.1098/rstb.2013.0481.CrossRefGoogle ScholarPubMed
Garcia-Romeu, A., Davis, A. K., Erowid, F., et al. (2019). Cessation and reduction in alcohol consumption and misuse after psychedelic use. Journal of Psychopharmacology, 33(9), 1088–1101. https://doi.org/10.1177/0269881119845793.CrossRefGoogle ScholarPubMed
Garcia-Romeu, A., Davis, A. K., Erowid, E., et al. (2020). Persisting reductions in cannabis, opioid, and stimulant misuse after naturalistic psychedelic use: An online survey. Frontiers in Psychiatry, 369. https://doi.org/10.3389/fpsyt.2019.00955.Google Scholar
Gick, M. L., & Lockhart, R. S. (1995). Cognitive and affective components of insight. In Sternberg, R. J. & Davidson, J. E. (Eds.), The nature of insight (pp. 197–228). MIT Press.Google Scholar
Griffiths, R. R., Richards, W. A., Johnson, M. W., McCann, U. D., & Jesse, R. (2008). Mystical-type experiences occasioned by psilocybin mediate the attribution of personal meaning and spiritual significance 14 months later. Journal of Psychopharmacology, 22(6), 621–632.CrossRefGoogle ScholarPubMed
Grimmer, H. J., Laukkonen, R. E., Freydenzon, A., von Hippel, W., & Tangen, J. M. (2022a). Thinking style and psychosis proneness do not predict false insights. Consciousness and Cognition, 104, 103384. https://doi.org/10.1016/j.concog.2022.103384.CrossRefGoogle Scholar
Grimmer, H., Laukkonen, R., Tangen, J., & von Hippel, W. (2022b). Eliciting false insights with semantic priming. Psychonomic Bulletin & Review, 29(3), 954–970. https://doi.org/10.3758/s13423-021-02049-x.CrossRefGoogle ScholarPubMed
Grimmer, H., Tangen, J. M., Hippel, B. von, Freydenzon, A., & Laukkonen, R. (2022c). The illusion of insight: Detailed warnings reduce but do not prevent false “Aha!” moments. PsyArXiv, June 28. https://doi.org/10.31234/osf.io/shgfr.CrossRefGoogle Scholar
Haarsma, J., Fletcher, P. C., Griffin, J. D., et al. (2021). Precision weighting of cortical unsigned prediction error signals benefits learning, is mediated by dopamine, and is impaired in psychosis. Molecular Psychiatry, 26(9), 5320–5333. https://doi.org/10.1038/s41380-020-0803-8.CrossRefGoogle ScholarPubMed
Hattori, M., Sloman, S. A., & Orita, R. (2013). Effects of subliminal hints on insight problem solving. Psychonomic Bulletin & Review, 20(4), 790–797. https://doi.org/10.3758/s13423-013-0389-0.CrossRefGoogle ScholarPubMed
Hedne, M. R., Norman, E., & Metcalfe, J. (2016). Intuitive feelings of warmth and confidence in insight and noninsight problem solving of magic tricks. Frontiers in Psychology, 7, 1314. https://doi.org/10.3389/fpsyg.2016.01314.CrossRefGoogle ScholarPubMed
Hohwy, J. (2013). The predictive mind. Oxford University Press.CrossRefGoogle Scholar
Jennissen, S., Huber, J., Ehrenthal, J. C., Schauenburg, H., & Dinger, U. (2018). Association between insight and outcome of psychotherapy: Systematic review and meta-analysis. American Journal of Psychiatry, 175(10), 961–969.CrossRefGoogle ScholarPubMed
Jung-Beeman, M., Bowden, E. M., Haberman, J., et al. (2004). Neural activity when people solve verbal problems with insight. PLoS Biology, 2(4), e97. https://doi.org/10.1371/journal.pbio.0020097.CrossRefGoogle ScholarPubMed
Kiebel, S. J., Daunizeau, J., & Friston, K. J. (2008). A hierarchy of time-scales and the brain. PLoS Computational Biology, 4(11), e1000209. https://doi.org/10.1371/journal.pcbi.1000209.CrossRefGoogle ScholarPubMed
Kizilirmak, J. M., Thuerich, H., Folta-Schoofs, K., Schott, B. H., & Richardson-Klavehn, A. (2016). Neural correlates of learning from induced insight: A case for reward-based episodic encoding. Frontiers in Psychology, 7, 1693. https://doi.org/10.3389/fpsyg.2016.01693.CrossRefGoogle ScholarPubMed
Koriat, A. (1993). How do we know that we know? The accessibility model of the feeling of knowing. Psychological Review, 100(4), 609–639. https://doi.org/10.1037/0033-295X.100.4.609.CrossRefGoogle ScholarPubMed
Kounios, J., & Beeman, M. (2014). The cognitive neuroscience of insight. Annual Review of Psychology, 65(1), 71–93. https://doi.org/10.1146/annurev-psych-010213-115154.CrossRefGoogle ScholarPubMed
Kounios, J., Frymiare, J. L., Bowden, E. M., et al. (2006). The prepared mind: Neural activity prior to problem presentation predicts subsequent solution by sudden insight. Psychological Science, 17(10), 882–890. https://doi.org/10.1111/j.1467-9280.2006.01798.x.CrossRefGoogle ScholarPubMed
Kuhn, T. (2021). The structure of scientific revolutions. Princeton University Press.Google Scholar
Laukkonen, R. E., Ingledew, D. J., Grimmer, H. J., Schooler, J. W., & Tangen, J. M. (2021). Getting a grip on insight: Real-time and embodied Aha experiences predict correct solutions. Cognition and Emotion, 35(5), 918–935. https://doi.org/10.1080/02699931.2021.1908230.CrossRefGoogle ScholarPubMed
Laukkonen, R. E., Kaveladze, B. T., Protzko, J., et al. (2022). Irrelevant insights make worldviews ring true. Scientific Reports, 12(1), 2075. https://doi.org/10.1038/s41598-022-05923-3.CrossRefGoogle ScholarPubMed
Laukkonen, R. E., Kaveladze, B. T., Tangen, J. M., & Schooler, J. W. (2020). The dark side of Eureka: Artificially induced Aha moments make facts feel true. Cognition, 196, 104122. https://doi.org/10.1016/j.cognition.2019.104122.CrossRefGoogle ScholarPubMed
Laukkonen, R. E., & Slagter, H. A. (2021). From many to (n)one: Meditation and the plasticity of the predictive mind. Neuroscience & Biobehavioral Reviews, 128, 199–217.CrossRefGoogle Scholar
Laukkonen, R. E., & Tangen, J. M. (2017). Can observing a Necker cube make you more insightful? Consciousness and Cognition, 48, 198–211. https://doi.org/10.1016/j.concog.2016.11.011.CrossRefGoogle ScholarPubMed
Laukkonen, R. E., & Tangen, J. M. (2018). How to detect insight moments in problem solving experiments. Frontiers in Psychology, 9, 282. https://doi.org/10.3389/fpsyg.2018.00282.CrossRefGoogle ScholarPubMed
Laukkonen, R. E., Webb, M., Salvi, C., Tangen, J. M., Slagter, H. A., & Schooler, J. W. (2023). Insight and the selection of ideas. Neuroscience & Biobehavioral Reviews, 105363.CrossRefGoogle Scholar
Lewis-Healey, E., Laukkonen, R., & van Elk, M. (2022). Future directions for clinical psilocybin research: The relaxed symptom network. Psychology & Neuroscience, 15(3), 223–235.CrossRefGoogle Scholar
Letheby, C. (2021). Philosophy of psychedelics. Oxford University Press.CrossRefGoogle Scholar
Maier, N. R. (1930). Reasoning in humans. I. On direction. Journal of Comparative Psychology, 10(2), 115–143.CrossRefGoogle Scholar
Maier, N. R. F. (1931). Reasoning in humans. II. The solution of a problem and its appearance in consciousness. Journal of Comparative Psychology, 12(2), 181–194. https://doi.org/10.1037/h0071361.CrossRefGoogle Scholar
McGovern, H., Grimmer, H. J., Doss, M., Hutchinson, B., Timmermann, C., Lyon, A., … Laukkonen, R. E. (2023, July 3). The power of insight: Psychedelics and the emergence of false beliefs. https://doi.org/10.31234/osf.io/97gjwCrossRefGoogle Scholar
Metcalfe, J., Schwartz, B. L., & Joaquim, S. G. (1993). The cue-familiarity heuristic in metacognition. Journal of Experimental Psychology: Learning, Memory, and Cognition, 19(4), 851–861. https://doi.org/10.1037/0278-7393.19.4.851.Google ScholarPubMed
Metcalfe, J., & Wiebe, D. (1987). Intuition in insight and noninsight problem solving. Memory & Cognition, 15(3), 238–246. https://doi.org/10.3758/BF03197722.CrossRefGoogle ScholarPubMed
Oh, Y., Chesebrough, C., Erickson, B., Zhang, F., & Kounios, J. (2020). An insight-related neural reward signal. NeuroImage, 214, 116757. https://doi.org/10.1016/j.neuroimage.2020.116757.CrossRefGoogle ScholarPubMed
Ohlsson, S. (1984). Restructuring revisited: I. Summary and critique of the Gestalt theory of problem solving. Scandinavian Journal of Psychology, 25(1), 65–78. https://doi.org/10.1111/j.1467-9450.1984.tb01001.x.CrossRefGoogle Scholar
Raut, R. V., Snyder, A. Z., & Raichle, M. E. (2020). Hierarchical dynamics as a macroscopic organizing principle of the human brain. Proceedings of the National Academy of Sciences, 117(34), 20890–20897. https://doi.org/10.1073/pnas.2003383117.CrossRefGoogle ScholarPubMed
Roediger, H. L., & McDermott, K. B. (1995). Creating false memories: Remembering words not presented in lists. Journal of Experimental Psychology: Learning, Memory, and Cognition, 21(4), 803.Google Scholar
Salvi, C., & Bowden, E. M. (2016). Looking for creativity: Where do we look when we look for new ideas? Frontiers in Psychology, 7. https://doi.org/10.3389/fpsyg.2016.00161.CrossRefGoogle ScholarPubMed
Salvi, C., Bricolo, E., Franconeri, S. L., Kounios, J., & Beeman, M. (2015). Sudden insight is associated with shutting out visual inputs. Psychonomic Bulletin & Review, 22(6), 1814–1819. https://doi.org/10.3758/s13423-015-0845-0.CrossRefGoogle ScholarPubMed
Salvi, C., Bricolo, E., Kounios, J., Bowden, E., & Beeman, M. (2016). Insight solutions are correct more often than analytic solutions. Thinking & Reasoning, 22(4), 443–460. https://doi.org/10.1080/13546783.2016.1141798.CrossRefGoogle ScholarPubMed
Salvi, C., Simoncini, C., Grafman, J., & Beeman, M. (2020). Oculometric signature of switch into awareness? Pupil size predicts sudden insight whereas microsaccades predict problem-solving via analysis. NeuroImage, 217, 116933. https://doi.org/10.1016/j.neuroimage.2020.116933.CrossRefGoogle ScholarPubMed
Schwartz, B. L., & Jemstedt, A. (2021). The role of fluency and dysfluency in metacognitive experiences. In Moraitou, D. & Metallidou, P. (Eds.), Trends and prospects in metacognition research across the life span: A tribute to Anastasia Efklides (pp. 25–40). Springer International Publishing.CrossRefGoogle Scholar
Schwartz, B. L., & Pournaghdali, A. (2020). Tip-of-the-tongue states: Past and future. In Schwartz, B. L. & Cleary, E. (Eds.), Memory quirks: The study of odd phenomena in memory (pp. 207–223). Routledge.CrossRefGoogle Scholar
Schwarz, N. (2012). Feelings-as-information theory. In Van Lange, P., Kruglanski, A., & Higgins, E., Handbook of theories of social psychology: Volume 1 (pp. 289–308). SAGE Publications Ltd.CrossRefGoogle Scholar
Sio, U. N., & Ormerod, T. C. (2009). Does incubation enhance problem solving? A meta-analytic review. Psychological Bulletin, 135(1), 94–120. https://doi.org/10.1037/a0014212.CrossRefGoogle ScholarPubMed
Slovic, P., Finucane, M. L., Peters, E., & MacGregor, D. G. (2007). The affect heuristic. European Journal of Operational Research, 177(3), 1333–1352.CrossRefGoogle Scholar
Smith, S. M. (1995). Getting into and out of mental ruts: A theory of fixation, incubation, and insight. In Sternberg, Robert J & Davidson, J. E. (Eds.), The Nature of Insight (pp. 229–251). MIT Pres.Google Scholar
Smith, S. M., & Blankenship, S. E. (1989). Incubation effects. Bulletin of the Psychonomic Society, 27(4), 311–314. https://doi.org/10.3758/BF03334612.CrossRefGoogle Scholar
Son, L. K., & Metcalfe, J. (2000). Metacognitive and control strategies in study-time allocation. Journal of Experimental Psychology: Learning, Memory, and Cognition, 26(1), 204–221. https://doi.org/10.1037/0278-7393.26.1.204.Google ScholarPubMed
Taylor, P., Hobbs, J. N., Burroni, J., & Siegelmann, H. T. (2015). The global landscape of cognition: Hierarchical aggregation as an organizational principle of human cortical networks and functions. Scientific Reports, 5(1), 18112. https://doi.org/10.1038/srep18112.CrossRefGoogle ScholarPubMed
Tulver, K., Kaup, K. K., Laukkonen, R., & Aru, J. (2021). Restructuring insight: An integrative review of insight in problem-solving, meditation, psychotherapy, delusions and psychedelics. PsyArXiv, November 26. https://doi.org/10.31234/osf.io/8fbt9.CrossRefGoogle Scholar
Webb, M. E., Laukkonen, R. E., Cropper, S. J., & Little, D. R. (2021). Commentary: Moment of (perceived) truth: Exploring accuracy of aha! experiences. The Journal of Creative Behavior, 55(2), 289–293.CrossRefGoogle Scholar
Webb, M. E., Little, D. R., & Cropper, S. J. (2016). Insight is not in the problem: Investigating insight in problem solving across task types. Frontiers in Psychology, 7, 1424. https://doi.org/10.3389/fpsyg.2016.01424.CrossRefGoogle Scholar
Webb, M. E., Little, D. R., & Cropper, S. J. (2018). Once more with feeling: Normative data for the aha experience in insight and noninsight problems. Behavior Research Methods, 50(5), 2035–2056. https://doi.org/10.3758/s13428-017-0972-9.CrossRefGoogle ScholarPubMed
Whittlesea, B. W. A., Jacoby, L. L., & Girard, K. (1990). Illusions of immediate memory: Evidence of an attributional basis for feelings of familiarity and perceptual quality. Journal of Memory and Language, 29(6), 716–732. https://doi.org/10.1016/0749-596X(90)90045-2.CrossRefGoogle Scholar
Whittlesea, B. W. A., Masson, M. E. J., & Hughes, A. D. (2005). False memory following rapidly presented lists: The element of surprise. Psychological Research, 69(5), 420–430. https://doi.org/10.1007/s00426-005-0213-1.CrossRefGoogle ScholarPubMed
Whittlesea, B. W. A., & Williams, L. D. (2001). The discrepancy-attribution hypothesis: I. The heuristic basis of feelings and familiarity. Journal of Experimental Psychology: Learning, Memory, and Cognition, 27(1), 3–13. https://doi.org/10.1037/0278-7393.27.1.3.Google ScholarPubMed
Zedelius, C. M., & Schooler, J. W. (2015). Mind wandering “Ahas” versus mindful reasoning: Alternative routes to creative solutions. Frontiers in Psychology, 6, 834. https://doi.org/10.3389/fpsyg.2015.00834.CrossRefGoogle ScholarPubMed

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