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The Skill of Translating Thought into Action: Framing The Problem

Review of Philosophy and Psychology volume 12, pages 547–573 (2021)Cite this article

A Correction to this article was published on 08 December 2020

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Abstract

The nature of the cognition-motor interface has been brought to prominence by Butterfill & Sinigaglia (2014), who argue that the representations employed by the cognitive and motor systems should not be able to interact with each other. Here I argue that recent empirical evidence concerning the interface contradicts several of the assumptions incorporated in Butterfill & Sinigaglia’s account, and I seek to develop a theoretical picture that will allow us to explain the structure of the interface presented by this evidence. The central idea is that neural plasticity incorporates metarepresentational rules for constructing representational systems and linking them. The structure of the cognition-motor interface is constructed flexibly during development and skill learning based on information processing demands.

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Change history

Notes

  1. Thanks to both reviewers for their protests on this issue.

  2. Thus, they say “…some motor representations are like intentions in representing action outcomes while also remaining sufficiently unlike intentions in that no single planning process can integrate both intention and motor representation” (2014, p. 120).

  3. However, Mylopoulos & Pacherie include functional role amongst these features. It is possible that they might regard role as fundamental.

  4. The claim that IMS is integrated with conscious awareness is based on the 2MS model of Keele et al. (2003), the dual task experiments cited above which show that motor planning taxes working memory, of which Weigelt et al. (2009) is representative, and the evidence described by Milner & Goodale that the ventral system participates in high level action planning.

  5. B&S say that “it does seem that motor representations are available in some sense” (Butterfill and Sinigaglia 2014, p. 134), which appears to be at odds with strict bidirectional opacity. The question is what sense, since their contents can’t be available without violating NO-MFP and NO-CPP. Sinigaglia and Butterfill (2015) propose that motor representations shape experience, and they suggest that this is analogous to the way that visual experiences shape conscious experience without being inferentially integrated with cognitive representations. This proposal is problematic, however. As described in the text, the contents of visual representations are accessed in visual experience and are integrated with cognitive representations in processes of visual working memory.

  6. B&S explicitly justify NO-TRANS on the grounds that nothing is known about translation between intentions and motor representations. This can just as easily be taken as grounds for investigating translation, given that translation is widely viewed as the obvious candidate mechanism linking intentions and motor representations. In any case, NO-TRANS appears to be required by NO-MFP.

  7. I’m including greyscale as ‘color’.

  8. Whether perceptual awareness is or can be conceptual has been a matter of controversy amongst philosophers (e.g. Burge 2010; Siegel 2010; Block 2014). The debate is too large to address here, but the evidence described in the text supports the view that it can be.

References

  • Apperly, I.A., and S.A. Butterfill. 2009. Do humans have two systems to track beliefs and belief-like states? Psychological Review 116 (4): 953–970.

    Article  Google Scholar 

  • Baddeley, A. 2000. The episodic buffer: A new component of working memory? Trends in Cognitive Sciences 4 (11): 417–423.

    Article  Google Scholar 

  • Baddeley, A. 2011. Working memory: Theories, models, and controversies. Annual Review of Psychology 63 (1): 1–29.

    Article  Google Scholar 

  • Beilock, S.L., and T.H. Carr. 2001. On the fragility of skilled performance: What governs choking under pressure? Journal of Experimental Psychology: General 130 (4): 701–725.

    Article  Google Scholar 

  • Binkofski, F., and L.J. Buxbaum. 2013. Two action systems in the human brain. Brain and Language 127 (2): 222–229.

    Article  Google Scholar 

  • Block, N. 2014. Seeing-as in the light of vision science. Philosophy and Phenomenological Research 89 (3): 560–572.

    Article  Google Scholar 

  • Bullier, J., J.D. Schall, and A. Morel. 1996. Functional streams in occipito-frontal connections in the monkey. Behavioural Brain Research 76 (1): 89–97.

    Article  Google Scholar 

  • Burge, T. (2010). Origins of objectivity. Oxford University Press, USA.

  • Butterfill, S. 2007. What are modules and what is their role in development? Mind & Language 22 (4): 450–473.

    Article  Google Scholar 

  • Butterfill, S.A., and C. Sinigaglia. 2014. Intention and motor representation in purposive action. Philosophy and Phenomenological Research 88 (1): 119–145.

    Article  Google Scholar 

  • Camp, E. 2007. Thinking with maps. Philosophical Perspectives 21: 145–182.

    Article  Google Scholar 

  • Carey, D.P., M. Harvey, and A.D. Milner. 1996. Visuomotor sensitivity for shape and orientation in a patient with visual form agnosia. Neuropsychologia 34 (5): 329–337.

    Article  Google Scholar 

  • Chou, S.-J., Z. Babot, A. Leingärtner, M. Studer, Y. Nakagawa, and D.D.M. O’Leary. 2013. Geniculocortical input drives genetic distinctions between primary and higher-order visual areas. Science 340 (6137): 1239–1242.

    Article  Google Scholar 

  • Christensen, W., J. Sutton, and D.J.F. McIlwain. 2016. Cognition in skilled action: Meshed control and the varieties of skill experience. Mind & Language 31 (1): 37–66.

    Article  Google Scholar 

  • Clark, D., and R.B. Ivry. 2010. Multiple systems for motor skill learning. Wiley Interdisciplinary Reviews: Cognitive Science 1 (4): 461–467.

    Google Scholar 

  • Cooper, R., and T. Shallice. 2000. Contention scheduling and the control of routine activities. Cognitive Neuropsychology 17 (4): 297–338.

    Article  Google Scholar 

  • D’Esposito, M., and B.R. Postle. 2015. The Cognitive Neuroscience of Working Memory. Annual Review of Psychology 66 (1): 115–142.

  • Dehaene, S., and L. Naccache. 2001. Towards a cognitive neuroscience of consciousness: Basic evidence and a workspace framework. Cognition 79 (1–2): 1–37.

    Article  Google Scholar 

  • Dobzhansky, T. 1962. Mankind Evolving. New Haven: Yale University Press.

    Google Scholar 

  • Elman, J. L., Bates, E. A., & Johnson, M. H. (1996). Rethinking innateness: A connectionist perspective on development. MIT Press.

  • Ferretti, G., and S.Z. Caiani. 2019. Solving the Interface Problem Without Translation: The Same Format Thesis. Pacific Philosophical Quarterly 100 (1): 301–333.

    Article  Google Scholar 

  • Ferstl, E. (2018). Text comprehension. In S.-A. Rueschemeyer & M. G. Gaskell (Eds.), The Oxford handbook of psycholinguistics. Oxford University Press.

  • Fitch, W.T., and M.D. Martins. 2014. Hierarchical processing in music, language, and action: Lashley revisited. Annals of the New York Academy of Sciences 1316 (1): 87–104.

    Article  Google Scholar 

  • Fitts, P.M., and M.I. Posner. 1967. Human performance. Belmont: Wadsworth.

    Google Scholar 

  • Fodor, J. A. (1983). The modularity of mind: An essay on faculty psychology. MIT Press.

  • Fodor, J. A. (2008). LOT 2: The language of thought revisited. OUP Oxford.

  • Gibson, K.R. 2002. Evolution of human intelligence: The roles of brain size and mental construction. Brain, Behavior and Evolution 59 (1–2): 10–20.

    Article  Google Scholar 

  • Gould, S.J., and E.S. Vrba. 1982. Exaptation—A missing term in the science of form. Paleobiology 8 (1): 4–15.

    Article  Google Scholar 

  • Grol, M.J., J. Majdandžić, K.E. Stephan, L. Verhagen, H.C. Dijkerman, H. Bekkering, et al. 2007. Parieto-frontal connectivity during visually guided grasping. Journal of Neuroscience 27 (44): 11877–11887.

    Article  Google Scholar 

  • Hallgrímsson, B., & Hall, B. K. (2005). Variation: A central concept in biology. Elsevier.

  • Haruno, M., D.M. Wolpert, and M. Kawato. 2003. Hierarchical MOSAIC for movement generation. In Excepta Medica international congress series, ed. T. Ono, G. Matsumoto, R.R. Llinas, A. Bethoz, R. Norgren, H. Nishijo, and R. Tamura, vol. 1250. Amsterdam: Elsevier Science.

    Google Scholar 

  • Haugeland, J. 1991. Representational genera. In Philosophy and connectionist theory, ed. W. Ramsey, D. Rumelhart, and S. Stich. New York: Psychology Press.

    Google Scholar 

  • Held, R. 1993. Development of binocular vision revisited. In Brain development and cognition: A reader, ed. M.H. Johnson, 159–166. Oxford: Blackwell.

    Google Scholar 

  • Hochstein, S., and M. Ahissar. 2002. View from the top: Hierarchies and reverse hierarchies in the visual system. Neuron 36 (5): 791–804.

    Article  Google Scholar 

  • Hubel, D.H., and T.N. Wiesel. 1962. Receptive fields, binocular interaction and functional architecture in the cat’s visual cortex. The Journal of Physiology 160 (1): 106–154.

    Article  Google Scholar 

  • Johnson-Laird, P.N., R.M. Byrne, and W. Schaeken. 1992. Propositional reasoning by model. Psychological Review 99 (3): 418–439.

    Article  Google Scholar 

  • Johnson, Mark H., & Haan, M. de. (2015). Developmental cognitive neuroscience: An introduction. John Wiley & Sons.

  • Kahneman, D., A. Treisman, and B.J. Gibbs. 1992. The reviewing of object files: Object-specific integration of information. Cognitive Psychology 24 (2): 175–219.

    Article  Google Scholar 

  • Keele, S.W., R. Ivry, U. Mayr, E. Hazeltine, and H. Heuer. 2003. The cognitive and neural architecture of sequence representation. Psychological Review 110 (2): 316–339.

    Article  Google Scholar 

  • Kintsch, W. (1998). Comprehension: A paradigm for cognition. Cambridge University Press.

  • Knudsen, E.I. 2002. Instructed learning in the auditory localization pathway of the barn owl. Nature 417 (6886): 322–328.

    Article  Google Scholar 

  • Lashley, K.S. 1951. The problem of serial order in behavior. In Cerebral mechanisms in behavior, ed. L.A. Jeffress, 112–131. New York: Wiley.

    Google Scholar 

  • Lee, T.S., and M. Nguyen. 2001. Dynamics of subjective contour formation in the early visual cortex. Proceedings of the National Academy of Sciences 98 (4): 1907–1911.

    Article  Google Scholar 

  • Logan, S.W., and M.G. Fischman. 2015. The death of recency: Relationship between end-state comfort and serial position effects in serial recall: Logan and Fischman (2011) revisited. Human Movement Science 44: 11–21.

    Article  Google Scholar 

  • Logie, R. H., & Della Sala, S. (2012). Disorders of visuospatial working memory. In P. Shah & A. Miyake (Eds.), The Cambridge Handbook of Visuospatial Thinking (pp. 81–120). Cambridge University Press.

  • MacKay, D.G. 1982. The problems of flexibility, fluency, and speed–accuracy trade-off in skilled behavior. Psychological Review 89 (5): 483–506.

    Article  Google Scholar 

  • MacKay, D. G. (1987). The Organization of Perception and Action: A theory for language and other cognitive skills. Springer-Verlag.

  • Masters, R.S.W. 1992. Knowledge, knerves and know-how: The role of explicit versus implicit knowledge in the breakdown of a complex motor skill under pressure. British Journal of Psychology 83 (3): 343–358.

    Article  Google Scholar 

  • von Melchner, L., S.L. Pallas, and M. Sur. 2000. Visual behaviour mediated by retinal projections directed to the auditory pathway. Nature 404 (6780): 871–876.

    Article  Google Scholar 

  • Melo, D., A. Porto, J.M. Cheverud, and G. Marroig. 2016. Modularity: Genes, development and evolution. Annual Review of Ecology, Evolution, and Systematics 47: 463–486.

    Article  Google Scholar 

  • Mély, D. A., & Serre, T. (2017). Towards a theory of computation in the visual cortex. In Computational and Cognitive Neuroscience of Vision.

  • Milner, A.D., and M.A. Goodale. 2008. Two visual systems re-viewed. Neuropsychologia 46 (3): 774–785.

    Article  Google Scholar 

  • Milner, B. 1962. Les troubles de la memoire accompagnant des lesions hippocampiques bilaterales. Physiologie de l’hippocampe 107: 257–272.

    Google Scholar 

  • Milner, D., and M. Goodale. 1995. The visual brain in action. Oxford: Oxford University Press.

    Google Scholar 

  • Montero, B.G. 2016. Thought in action: Expertise and the conscious mind. Oxford University Press.

  • Mylopoulos, M., and E. Pacherie. 2017. Intentions and motor representations: The Interface challenge. Review of Philosophy and Psychology 8 (2): 317–336.

    Article  Google Scholar 

  • Pacherie, E. 2008. The phenomenology of action: A conceptual framework. Cognition 107 (1): 179–217.

    Article  Google Scholar 

  • Pisella, L., F. Binkofski, K. Lasek, I. Toni, and Y. Rossetti. 2006. No double-dissociation between optic ataxia and visual agnosia: Multiple sub-streams for multiple visuo-manual integrations. Neuropsychologia 44 (13): 2734–2748.

    Article  Google Scholar 

  • Quilty-Dunn, J. 2019. Perceptual Pluralism. Noûs.

  • Rizzolatti, G., and M. Matelli. 2003. Two different streams form the dorsal visual system: Anatomy and functions. Experimental Brain Research 153 (2): 146–157.

    Article  Google Scholar 

  • Rossetti, Y., L. Pisella, and R.D. McIntosh. 2017. Rise and fall of the two visual systems theory. Annals of Physical and Rehabilitation Medicine 60 (3): 130–140.

    Article  Google Scholar 

  • Roth, G. (2013). The long evolution of brains and minds. Springer Science & Business Media.

  • Schenk, T., V. Franz, and N. Bruno. 2011. Vision-for-perception and vision-for-action: Which model is compatible with the available psychophysical and neuropsychological data? Vision Research 51 (8): 812–818.

    Article  Google Scholar 

  • Schmidt, R.A. 1975. A schema theory of discrete motor skill learning. Psychological Review 82 (4): 225–260.

    Article  Google Scholar 

  • Sharma, J., A. Angelucci, and M. Sur. 2000. Induction of visual orientation modules in auditory cortex. Nature 404 (6780): 841–847.

    Article  Google Scholar 

  • Shepherd, J. 2017. Skilled action and the double life of intention. Philosophy and Phenomenological Research 98 (2): 286–305.

    Article  Google Scholar 

  • Shepherd, J. 2018. Intelligent action guidance and the use of mixed representational formats. Synthese.

  • Shin, S.-J. (1994). The logical status of diagrams. Cambridge University Press.

  • Siegel, S. (2010). The contents of visual experience. Oxford University Press.

  • Sinigaglia, C., & Butterfill, S. A. (2015). On a puzzle about relations between thought, experience and the motoric. Synthese, 1–14.

  • Spiegel, M.A., D. Koester, and T. Schack. 2013. The functional role of working memory in the (re-)planning and execution of grasping movements. Journal of Experimental Psychology: Human Perception and Performance 39 (5): 1326–1339.

    Google Scholar 

  • Spunt, R.P., and R. Adolphs. 2017. A new look at domain specificity: Insights from social neuroscience. Nature Reviews Neuroscience 18 (9): 559–567.

    Article  Google Scholar 

  • Squire, L.R. 2009. Memory and brain systems: 1969–2009. Journal of Neuroscience 29 (41): 12711–12716.

    Article  Google Scholar 

  • van Polanen, V., & Davare, M. (2015). Interactions between dorsal and ventral streams for controlling skilled grasp. Neuropsychologia, 79, Part B, 186–191.

  • Verhagen, L., H.C. Dijkerman, W.P. Medendorp, and I. Toni. 2013. Hierarchical Organization of Parietofrontal Circuits during goal-directed action. Journal of Neuroscience 33 (15): 6492–6503.

    Article  Google Scholar 

  • Weigelt, M., D.A. Rosenbaum, S. Huelshorst, and T. Schack. 2009. Moving and memorizing: Motor planning modulates the recency effect in serial and free recall. Acta Psychologica 132 (1): 68–79.

    Article  Google Scholar 

  • Wheeldon, L. R., & Konopka, A. (2018). Spoken word production: Representation, retrieval, and integration. In S.-A. Rueschemeyer & M. G. Gaskell (Eds.), The Oxford handbook of psycholinguistics (2nd ed.). Oxford University Press.

  • Wolbers, T., R.L. Klatzky, J.M. Loomis, M.G. Wutte, and N.A. Giudice. 2011. Modality-independent coding of spatial layout in the human brain. Current Biology 21 (11): 984–989.

    Article  Google Scholar 

  • Wolpert, D.M., Z. Ghahramani, and M.I. Jordan. 1995. An internal model for sensorimotor integration. Science 269 (5232): 1880–1882.

    Article  Google Scholar 

  • Willingham, D.B. 1998. A neuropsychological theory of motor skill learning. Psychological Review 105 (3): 558–584.

    Article  Google Scholar 

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Funding

This work was funded by European Research Council starting grant 757698, awarded under the Horizon 2020 program for research and innovation.

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    Wayne Christensen

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Christensen, W. The Skill of Translating Thought into Action: Framing The Problem. Rev.Phil.Psych. 12, 547–573 (2021). https://doi.org/10.1007/s13164-020-00517-2

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