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Article published In: Creativity, Cognition and Material Culture
Edited by Lambros Malafouris, Chris Gosden and Karenleigh A. Overmann
[Pragmatics & Cognition 22:1] 2014
► pp. 45–63

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Technical cognition, working memory and creativity

 | Center for Cognitive Archaeology, University of Colorado, Colorado Springs
Published online: 10 December 2015
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https://doi.org/10.1075/pc.22.1.03wyn
This essay explores the nature and neurological basis of creativity in technical production. After presenting a model of expert technical cognition based in cognitive anthropology and cognitive psychology, the authors propose that craft production has three inherent sources of novelty — procedural drift, serendipitous error and fiddling. However, these are quite limited in their creative potential, which may help explain the virtual absence of innovation over the long millennia of the Palaeolithic. Innovation can be far more rapid and effective via invention, which requires folk theories of causation and adequate working memory capacity, all fairly recent evolutionary developments. The neurological basis of expert technical cognition lies in well-known cortical and sub-cortical structures, but recent research has established a provocative role for the cerebellum in the formulation of novel arrangements.
References (43)
Addis, D.R., Wong, A.T. and Schacter, D.L. 2007. “Remembering the past and imagining the future: Common and distinct neural substrates during event construction and elaboration”. Neuropsychologia 45(7): 1363–1377. Google Scholar logo with link to Google Scholar
Baddeley, A. 2007. Working Memory, Thought, and Action. Oxford: Oxford University Press. Google Scholar logo with link to Google Scholar
Baddeley, A. and Hitch, G.J. 1974. “Working memory”. In Bower, G.A. (ed.), Recent Advances in Learning and Motivation. New York: Academic Press, 47–90.Google Scholar logo with link to Google Scholar
Balsters, J.H., Whelan, C.D., Robertson, I.H. and Ramnani, N. 2013. “Cerebellum and cognition: Evidence for the encoding of higher order rules”. Cerebral Cortex 23(6): 1433–1443. Google Scholar logo with link to Google Scholar
Barbey, A.K., Colom, R., Paul, E.J. and Grafman, J. 2014. “Architecture of fluid intelligence and working memory revealed by lesion mapping”. Brain Structure and Function 219(2): 485–494. Google Scholar logo with link to Google Scholar
Chase, W. and Simon, H. 1973. “Perception in chess”. Cognitive Psychology 4(1): 55–81. Google Scholar logo with link to Google Scholar
Coolidge, F.L. 2014. “The exaptation of the parietal lobes in Homo sapiens ”. Journal of Anthropological Sciences 921: 295–298. Google Scholar logo with link to Google Scholar
Critchley, M. 1953. The Parietal Lobes. New York: Hafner.Google Scholar logo with link to Google Scholar
De Smet, H.J., Paquier, P., Verhoeven, J. and Mariën. P. 2013. “The cerebellum: Its role in language and related cognitive and affective functions”. Brain and Language 127(3): 334–342. Google Scholar logo with link to Google Scholar
Edison, T.A. n.d. BrainyQuote.com. Retrieved from [URL]
Engle, R.W., Kane, M.J. and Tuholski, S.W. 1999. “Individual differences in working memory capacity and what they tell us about controlled attention, general fluid intelligence, and functions of the prefrontal cortex”. In Miyake, A. and Shah, P. (eds), Models of Working Memory: Mechanisms of Active Maintenance and Executive Control. Cambridge: Cambridge University Press, 102–134. Google Scholar logo with link to Google Scholar
Ericsson, K.A. and Delaney, P.F. 1999. “Long-term working memory as an alternative to capacity models of working memory in everyday skilled performance”. In Miyake, A. and Shah, P. (eds), Models of Working Memory:Mechanisms of Active Maintenance and Executive Control. Cambridge: Cambridge University Press, 257–297. Google Scholar logo with link to Google Scholar
Ericsson, K.A. and Kintsch, W. 1995. “Long-term working memory”. Psychological Review 102(2): 211–245. Google Scholar logo with link to Google Scholar
Gatewood, J. 1985. “Actions speak louder than words”. In J. Dougherty (ed.), Directions in Cognitive Anthropology. Urbana: University of Illinois Press, 199–220.Google Scholar logo with link to Google Scholar
Gibson, J. 1986. The Ecological Approach to Visual Perception. Hillsdale, NJ: Lawrence Erlbaum Associates.Google Scholar logo with link to Google Scholar
Gladwin, T. 1970. East is a Big Bird. Cambridge, MA: Harvard University Press.Google Scholar logo with link to Google Scholar
Gobet, F. 1998. “Expert memory: A comparison of four theories”. Cognition 66(2): 115–152. Google Scholar logo with link to Google Scholar
Gobet, F. and Simon, H. 2000. “Five seconds or sixty? Presentation time in expert memory”. Cognitive Science 24(4): 651–682. Google Scholar logo with link to Google Scholar
Guida, A., Gobet, F., Tardieu, H. and Nicolas, S. 2012. “How chunks, long-term working memory and templates offer a cognitive explanation for neuroimaging data on expertise acquisition: A two-stage framework”. Brain and Cognition 79(3): 221–244. Google Scholar logo with link to Google Scholar
Hambrick, D.Z., Kane, M. and Engle, R. 2005. “The role of working memory in higher-level cognition: Domain specific versus domain-general perspectives”. In R. Sternberg and J. Pretz (eds.), Cognition and Intelligence: Identifying the Mechanisms of the Mind. Cambridge: Cambridge University Press, 104–121.Google Scholar logo with link to Google Scholar
Hutchins, E. 1995. Cognition in the Wild. Cambridge, MA: The MIT Press.Google Scholar logo with link to Google Scholar
Imamizu, H., Kuroda T., Miyauchi, S., Yoshioka, T. and Kawato, M. 2003. “Modular organization of internal models of tools in the human cerebellum”. Proceedings of the National Academy of Sciences 100(9): 5461–5466. Google Scholar logo with link to Google Scholar
Ito, M. 1993. “Movement and thought: Identical control mechanisms by the cerebellum”. Trends in Neuroscience 16(11): 448–450. Google Scholar logo with link to Google Scholar
. 2005. “Bases and implications of learning in the cerebellum—Adaptive control and internal model mechanism”. Progress in Brain Research 1481: 95–109. Google Scholar logo with link to Google Scholar
Jarry, C., Osiurak, F., Delafuys, D., Chauvire, V., Etcharry-Bouyx, F. and Le Gall, D. 2013. “Apraxia of tool use: More evidence for the technical reasoning hypothesis”. Cortex 49(9): 2322–2333. Google Scholar logo with link to Google Scholar
Keller, C. and Keller, J. 1996. Cognition and Tool Use: The Blacksmith at Work. Cambridge: Cambridge University Press.Google Scholar logo with link to Google Scholar
Koenigs, M., Barbey, A.K., Postle, B.R. and Grafman, J. 2009. “Superior parietal cortex is critical for the manipulation of information in working memory”. The Journal of Neuroscience 29(47): 14980–14986. Google Scholar logo with link to Google Scholar
Koziol, L.F., Budding, D.E. and Chidekel, D. 2010. “Adaptation, expertise, and giftedness: Towards an understanding of cortical, subcortical, and cerebellar network contributions”. Cerebellum 9(4): 499–529. Google Scholar logo with link to Google Scholar
Lee, C. and Therriault, D. 2013. “The cognitive underpinnings of creative thought: A latent variable analysis exploring the roles of intelligence and working memory in three creative thinking processes”. Intelligence 41(5): 306–320. Google Scholar logo with link to Google Scholar
Lou, H.C., Luber, B., Crupain, M., Keenan, J.P., Nowak, M., Kjaer, T.W. and Lisanby, S.H. 2004. “Parietal cortex and representation of the mental self”. Proceedings of the National Academy of Sciences 101(17): 6827–6832. Google Scholar logo with link to Google Scholar
Malafouris, L. 2013. How Things Shape the Mind: A Theory of Material Engagement. Cambridge, MA: The MIT Press. Google Scholar logo with link to Google Scholar
Miller, G. 1956. “The magical number seven, plus or minus two: some limits of our capacity for processing information”. Psychological Review 63(2): 81–97. Google Scholar logo with link to Google Scholar
Osiurak, F., Jarry, C. and Le Gall, D. 2010. “Grasping the affordances, understanding the reasoning: Toward a dialectical theory of human tool use”. Psychological Review 117(2): 517–540. Google Scholar logo with link to Google Scholar
Privado, J., de Urturi, C.S., Dávila, J., López, C., Burgaleta, M., Román, F.J., Escorial, S. and Colom, R. 2014. “White matter integrity predicts individual differences in (fluid) intelligence through working memory”. Personality and Individual Differences 601: S77. Google Scholar logo with link to Google Scholar
Sack, A.T. 2009. “Parietal cortex and spatial cognition”. Behavioural and Brain Research 202(2): 153–161. Google Scholar logo with link to Google Scholar
Schlerf, J.E., Verstynen, T.D., Ivry, R.B. and Spencer, R.M.C. 2010. “Evidence of a novel somatic map in the human neocerebellum during complex actions”. Journal of Neurophysiology 103(6): 3330–3336. Google Scholar logo with link to Google Scholar
Schutz, A. 1970. On Phenomenology and Social Relations. Chicago: University of Chicago Press.Google Scholar logo with link to Google Scholar
Tulving, E. 2002. “Episodic memory: From mind to brain”. Annual Review of Psychology 53(1): 1–25. Google Scholar logo with link to Google Scholar
Unsworth, N., Fukuda, K., Awh, E. and Vogel, E. 2014. “Working memory and fluid intelligence: Capacity, attention control, and secondary memory retrieval”. Cognitive Psychology 711: 1–26. Google Scholar logo with link to Google Scholar
Vandervert, L.R., Schimpf, P.H. and Liu, H. 2007. “How working memory and the cerebellum collaborate to produce creativity and innovation”. Creativity Research Journal 19(1): 1–18. Google Scholar logo with link to Google Scholar
Wellman, H.M. 2014. Making Minds: How Theory of Mind Develops. New York: Oxford University Press. Google Scholar logo with link to Google Scholar
Wilkins, J., Schoville, B.J., Brown, K.S. and Chazan, M. 2012. “Evidence for early hafted hunting technology”. Science 338(6109): 942–946. Google Scholar logo with link to Google Scholar
Zappa, F. 1978. “Loose talk”. Rolling Stone Magazine. San Francisco: Straight Arrow Publishers, 151.Google Scholar logo with link to Google Scholar
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