1 Cognitive Psychology Laboratory, Department of Psychology, Babeș-Bolyai University, Romania
The present paper overviews properties of implicit knowledge discovered in cognitive psychology and describes their relevance for cognitive behavior therapies. It shows, first, that implicit structures are learned by direct exposure to environments or stimuli governed by a structure or by acting/ responding according to a structure. Second, one can develop both conscious and unconscious knowledge regarding a structure, and, third, implicit structures themselves can generate conscious knowledge. Hence, these conscious contents might mask sometimes the presence of unconscious structures. Fourth, implicit structures can be counteracted by alternative structures, but they cannot be erased. Consequently, they can be subactivated, but they can re-activate in some circumstances. Fifth, implicit structures are learned better in childhood and adolescence. Moreover, the paper suggests several directions of research that could clarify the role of implicit structures in CBTs and, more generally, in psychopathology and human adaptation.
Keywords: cognitive behavior therapy, cognitive structures, implicit learning, tacit knowledge, unconscious cognition
Published online: 2018/09/01
Published print: 2018/09/01
Abramowitz, J. S. (2013). The practice of exposure therapy: Relevance of cognitivebehavioral theory and extinction theory. Behavior Therapy, 44, 548-558. doi: http://dx.doi.org/10.1016/j.beth.2013.03.003
Allen, R., & Reber, A. S. (1980). Very long term memory for tacit knowledge. Cognition, 8(2), 175-185.
Beck, A.T. (1976). Cognitive therapy of the emotional disorders. New York, NY: New American Library.
Beck, J. S. (2011). Cognitive behavioral therapy: Basics and beyond (2nd ed.). New York, NY: Guilford.
Brewin, C. R. (1996). Theoretical foundations of cognitive-behavior therapy for anxiety and depression. Annual Review of Psychology, 47(1), 33-57. Doi: 10.1146/annurev. psych.47.1.33
Brewin, C. R. (2006). Understanding cognitive behaviour therapy: A retrieval competition account. Behaviour Research and Therapy, 44(6), 765-784. doi:10.1016/j.brat.2006.02.005
Brewin, C. R. (2015). Reconsolidation versus retrieval competition: Rival hypotheses to explain memory change in psychotherapy. Behavioral and Brain Sciences, 38, doi: 10.1017/S0140525X14000144
Clark, D. A. (1995). Perceived limitations of standard cognitive therapy: A consideration of efforts to revise Beck’s theory and therapy. Journal of Cognitive Psychotherapy, 9(3), 153-172.
David, D., & Lynn, S. J. (2010). A summary and a new research agenda for rationalemotive and cognitive-behavior therapy. In David, D., Lynn, S. J., & Ellis, A. (Eds.). Rational and irrational beliefs: Research, theory, and clinical practice (pp. 339-347). New York, NY: Oxford University Press.
Dienes, Z., Altmann, G., Kwan, L., & Goode, A. (1995). Unconscious knowledge of artificial grammars is applied strategically. Journal of Experimental Psychology: Learning, Memory, and Cognition, 21(5), 1322. doi: 10.1037//0278-73188.8.131.522
Dienes, Z., & Scott, R. (2005). Measuring unconscious knowledge: Distinguishing structural knowledge and judgment knowledge. Psychological Research, 69(5-6), 338-351. doi: 10.1007/s00426-004-0208-3
Dobson, D., & Dobson, K. S. (2017). Evidence-based practice of cognitive-behavioral therapy (2nd ed). New York: Guilford Publications
Dowd, E. T. (2006). What changes in cognitive therapy? The role of tacit knowledge structures. Journal of Cognitive and Behavioral Psychotherapies, 2, 141-148.
Dowd, E. T., & Courchaine, K. E. (2002). Implicit learning, tacit knowledge, and implications for stasis and change in cognitive psychotherapy. In Leahy, R. L., & Dowd, E. T. (Eds). Clinical advances in cognitive psychotherapy: Theory and application (pp. 325-344). New York, NY: Springer.
Esser, S., & Haider, H. (2017). The emergence of explicit knowledge in a serial reaction time task: The role of experienced fluency and strength of representation. Frontiers in Psychology, 8, 502. doi: https://doi.org/10.3389/fpsyg.2017.00502 Fu, Q., Dienes, Z., & Fu, X. (2010). Can unconscious knowledge allow control in sequence learning?. Consciousness and Cognition, 19(1), 462-474. Doi: https://doi.org/ 10.1016/j.concog.2009.10.001
Greenwald, A. G., McGhee, D. E., & Schwartz, J. L. (1998). Measuring individual differences in implicit cognition: the implicit association test. Journal of Personality and Social Psychology, 74(6), 1464-1480.
Hahn, A., Judd, C. M., Hirsh, H. K., & Blair, I. V. (2014). Awareness of implicit attitudes. Journal of Experimental Psychology: General, 143(3), 1369-1392.
Haider, H., Eichler, A., & Lange, T. (2011). An old problem: How can we distinguish between conscious and unconscious knowledge acquired in an implicit learning task?. Consciousness and Cognition, 20(3), 658-672. Doi: https://doi.org/10.1016/ j.concog.2010.10.021
Janacsek, K., Fiser, J., & Nemeth, D. (2012). The best time to acquire new skills: Agerelated differences in implicit sequence learning across the human lifespan. Developmental Science, 15(4), 496-505. Doi: https://doi.org/10.1111/j.1467- 7687.2012.01150.x
Jurchiş, R., Costea, A. & Opre, A. (under review). Implicit and explicit learning of socioemotional information in depression.
Jurchiş, R., & Opre, A. (2016). Unconscious learning of cognitive structures with emotional components: Implications for cognitive behavior psychotherapies. Cognitive Therapy and Research, 40(2), 230-244. doi: 10.1007/s10608-015-9743-z
Jurchiş, R., & Opre, A. (2018). A dual process approach to current issues from cognitive behavior therapies: An integrative perspective. International Journal of Cognitive Therapy. 11(4), 374-409. Doi: 10.1007/s41811-018-0023-z
Kóbor, A., Janacsek, K., Takács, Á., & Nemeth, D. (2017). Statistical learning leads to persistent memory: Evidence for one-year consolidation. Scientific Reports, 7(1), 760. doi: 10.1038/s41598-017-00807-3
Leganes-Fonteneau, M., Scott, R., & Duka, T. (2018). Attentional responses to stimuli associated with a reward can occur in the absence of knowledge of their predictive values. Behavioural Brain Research, 341, 26-36. Doi: https://doi.org/10.1016/ j.bbr.2017.12.015
Nissen, M. J., & Bullemer, P. (1987). Attentional requirements of learning: Evidence from performance measures. Cognitive Psychology, 19(1), 1-32. Doi: https://doi.org/ 10.1016/0010-0285(87)90002-8
Norman, E., & Price, M. C. (2012). Social intuition as a form of implicit learning: Sequences of body movements are learned less explicitly than letter sequences. Advances in Cognitive Psychology, 8(2), 121-131. doi: 10.2478/v10053-008-0109-x
Norman, E., Price, M. C., & Jones, E. (2011). Measuring strategic control in artificial grammar learning. Consciousness and Cognition, 20(4), 1920-1929. doi: https://doi.org/10.1016/j.concog.2011.07.008
Norman, E., Scott, R. B., Price, M. C., & Dienes, Z. (2016). The relationship between strategic control and conscious structural knowledge in artificial grammar learning. Consciousness and Cognition, 42, 229-236. Doi: https://doi.org/10.1016/ j.concog.2016.03.014 Olson, M. A., Kendrick, R. V., & Fazio, R. H. (2009). Implicit learning of evaluative vs. non-evaluative covariations: The role of dimension accessibility. Journal of Experimental Social Psychology, 45(2), 398-403. Doi: https://doi.org/10.1016/ j.jesp.2008.10.007
Reber, A. S. (1967). Implicit learning of artificial grammars. Journal of Verbal Learning and Verbal Behaviour, 6, 855–863. doi: 10.1016/S0022-5371(67)80149-X Reber, A. S. (1993). Implicit learning: An essay on the cognitive unconscious. New York:
Oxford University Press. Shanks, D. R. (2010). Learning: From association to cognition. Annual Review of Psychology, 61, 273-301. doi: https://doi.org/10.1146/annurev.psych.093008.100519
Shanks, D. R., & John, M. F. S. (1994). Characteristics of dissociable human learning
systems. Behavioral and Brain Sciences, 17(3), 367-395. Doi: https://doi.org/10.1017/
Szegedi-Hallgató, E., Janacsek, K., Vékony, T., Tasi, L. A., Kerepes, L., Hompoth, E. A., … & Németh, D. (2017). Explicit instructions and consolidation promote rewiring of automatic behaviors in the human mind. Scientific Reports, 7(1), 4365. doi: 10.1038/s41598-017-04500-
Taleb, N. N. (2018). Skin in the Game: Hidden Asymmetries in Daily Life. New York: Random House.
Williams, J. M. G., Watts, F. N., MacLeod, C., & Mathews, A. (1997). Cognitive
psychology and emotional disorders (2nd ed.). New York, NY: Wiley & Sons.