Human Neuroscience Hypothesis and Theory Article Learning to Perceive in the Sensorimotor Approach: Piaget's Theory of Equilibration Interpreted Dynamically

Learning to perceive is faced with a classical paradox: if understanding is required for perception, how can we learn to perceive something new, something we do not yet understand? According to the sensorimotor approach, perception involves mastery of regular sensorimotor co-variations that depend on the agent and the environment, also known as the “laws” of sensorimotor contingencies (SMCs). In this sense, perception involves enacting relevant sensorimotor skills in each situation. It is important for this proposal that such skills can be learned and refined with experience and yet up to this date, the sensorimotor approach has had no explicit theory of perceptual learning. The situation is made more complex if we acknowledge the open-ended nature of human learning. In this paper we propose Piaget’s theory of equilibration as a potential candidate to fulfill this role. This theory highlights the importance of intrinsic sensorimotor norms, in terms of the closure of sensorimotor schemes. It also explains how the equilibration of a sensorimotor organization faced with novelty or breakdowns proceeds by re-shaping pre-existing structures in coupling with dynamical regularities of the world. This way learning to perceive is guided by the equilibration of emerging forms of skillful coping with the world. We demonstrate the compatibility between Piaget’s theory and the sensorimotor approach by providing a dynamical formalization of equilibration to give an explicit micro-genetic account of sensorimotor learning and, by extension, of how we learn to perceive. This allows us to draw important lessons in the form of general principles for open-ended sensorimotor learning, including the need for an intrinsic normative evaluation by the agent itself. We also explore implications of our micro-genetic account at the personal level.

[1]  Maurice Merleau-Ponty Phenomenology of Perception , 1964 .

[2]  J. Piaget,et al.  La psychologie de l'intelligence , 1949 .

[3]  Kenneth L. Artis Design for a Brain , 1961 .

[4]  I. Kohler,et al.  The formation and transformation of the perceptual world. , 1963 .

[5]  P. Bach-y-Rita SENSORY PLASTICITY , 1967, Acta neurologica Scandinavica.

[6]  Sylvia Weir,et al.  Action perception , 1974 .

[7]  G Guarniero,et al.  Experience of Tactile Vision , 1974, Perception.

[8]  Jean Piaget,et al.  L'équilibration des structures cognitives : problème central du développement , 1975 .

[9]  Piaget on Equilibration , 1978 .

[10]  G. Ferro-Luzzi On Evolutionary Epistemology , 1982, Current Anthropology.

[11]  INVESTIGATIONS , 1984, The Lancet.

[12]  R. Holmes The knower and the known , 1986 .

[13]  G. Edelman Neural Darwinism: The Theory Of Neuronal Group Selection , 1989 .

[14]  Thought and Experience , 1988 .

[15]  M. Sur,et al.  A map of visual space induced in primary auditory cortex. , 1990, Science.

[16]  R. A. Brooks,et al.  Intelligence without Representation , 1991, Artif. Intell..

[17]  Equilibration and the dialectics of organization. , 1992 .

[18]  P. B. Pufall,et al.  Piaget's Theory : Prospects and Possibilities , 1992 .

[19]  David Kirsh,et al.  The Intelligent Use of Space , 1995, Artif. Intell..

[20]  David Kirsh,et al.  Adapting the Environment Instead of Oneself , 2022 .

[21]  W. Calvin The Six Essentials? Minimal Requirements for the Darwinian Bootstrapping of Quality , 1997 .

[22]  E. A. Dipaolo,et al.  Homeostatic adaptation to inversion of the visual field and other sensorimotor disruptions , 2000 .

[23]  Di Paolo,et al.  Homeostatic adaptation to inversion of the visual field and other sensorimotor disruptions , 2000 .

[24]  Paul Bach-y-Rita,et al.  Brain plasticity: ‘visual’ acuity of blind persons via the tongue , 2001, Brain Research.

[25]  A. Noë,et al.  A sensorimotor account of vision and visual consciousness. , 2001, The Behavioral and brain sciences.

[26]  R. Sternberg,et al.  The Psychology of Intelligence , 2002 .

[27]  H. Dreyfus Intelligence without representation – Merleau-Ponty's critique of mental representation The relevance of phenomenology to scientific explanation , 2002 .

[28]  G. V. van Orden,et al.  Self-organization of cognitive performance. , 2003, Journal of experimental psychology. General.

[29]  J. Kevin O'Regan,et al.  Is There Something Out There? Inferring Space from Sensorimotor Dependencies , 2003, Neural Computation.

[30]  Alva Noë,et al.  Neural Plasticity and Consciousness , 2003 .

[31]  J. Kevin O'Regan,et al.  Perception of the Structure of the Physical World Using Unknown Multimodal Sensors and Effectors , 2003, NIPS.

[32]  E. D. Paolo,et al.  Organismically-inspired robotics: homeostatic adaptation and teleology beyond the closed sensorimotor loop , 2003 .

[33]  E. D. Paolo,et al.  Autopoiesis, Adaptivity, Teleology, Agency , 2005 .

[34]  K. Kirsner,et al.  Beyond the Learning Curve: The Construction of Mind , 2005 .

[35]  Inman Harvey,et al.  Evolutionary Robotics: A New Scientific Tool for Studying Cognition , 2005, Artificial Life.

[36]  Richard S. Sutton,et al.  Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.

[37]  Hiroyuki Iizuka,et al.  Toward Spinozist Robotics: Exploring the Minimal Dynamics of Behavioral Preference , 2007, Adapt. Behav..

[38]  E. Thompson,et al.  Mind in life : biology, phenomenology, and the sciences of mind , 2007 .

[39]  A. Roskies A New Argument for Nonconceptual Content , 2008 .

[40]  M. Rohde,et al.  Sensitivity to social contingency or stability of interaction? Modelling the dynamics of perceptual crossing , 2008 .

[41]  B. Fernández,et al.  Mental life. A naturalized approach to the autonomy of cognitive agents , 2008 .

[42]  Hiroyuki Iizuka,et al.  How (not) to model autonomous behaviour , 2008, Biosyst..

[43]  Michael W. Spratling,et al.  Précis of neuroconstructivism: how the brain constructs cognition. , 2008, The Behavioral and brain sciences.

[44]  A. Olding Biology and knowledge , 2008 .

[45]  E. D. Di Paolo Extended Life , 2008 .

[46]  Hiroyuki Iizuka,et al.  Extended Homeostatic Adaptation: Improving the Link between Internal and Behavioural Stability , 2008, SAB.

[47]  Dario Floreano,et al.  Neuroevolution: from architectures to learning , 2008, Evol. Intell..

[48]  Inman Harvey,et al.  Associative Learning on a Continuum in Evolved Dynamical Neural Networks , 2008, Adapt. Behav..

[49]  D. Welton Mind in Life: Biology, Phenomenology, and the Sciences of Mind (review) , 2009 .

[50]  The Cambridge Companion to Piaget: Piaget on Equilibration , 2009 .

[51]  Peter C. M. Molenaar,et al.  The New Person-Specific Paradigm in Psychology , 2009 .

[52]  Santosh Manicka,et al.  Local Ultrastability in a Real System Based on Programmable Springs , 2009, ECAL.

[53]  M. Rohde,et al.  Horizons for the Enactive Mind: Values, Social Interaction, and Play , 2010 .

[54]  A. Chemero,et al.  A Demonstration of the Transition from Ready-to-Hand to Unready-to-Hand , 2010, PloS one.

[55]  E. D. Paolo,et al.  Can social interaction constitute social cognition? , 2010, Trends in Cognitive Sciences.

[56]  Sanjay Kaul,et al.  What the Tortoise said to Achilles. , 2010, The American journal of cardiology.

[57]  E. D. Paolo,et al.  Robotics Inspired in the Organism , 2010 .

[58]  F. Hillary,et al.  The challenge of non-ergodicity in network neuroscience , 2011, Network.

[59]  P. Verschure,et al.  A biologically based model for the integration of sensory–motor contingencies in rules and plans: A prefrontal cortex based extension of the Distributed Adaptive Control architecture , 2011, Brain Research Bulletin.

[60]  Alexander Maye,et al.  A discrete computational model of sensorimotor contingencies for object perception and control of behavior , 2011, 2011 IEEE International Conference on Robotics and Automation.

[61]  Eörs Szathmáry,et al.  Selectionist and Evolutionary Approaches to Brain Function: A Critical Appraisal , 2012, Front. Comput. Neurosci..

[62]  Fumiya Iida,et al.  Self-organization of reflexive behavior from spontaneous motor activity , 2012, Biological Cybernetics.

[63]  Armin Fuchs,et al.  Beyond the blank slate: routes to learning new coordination patterns depend on the intrinsic dynamics of the learner—experimental evidence and theoretical model , 2012, Front. Hum. Neurosci..

[64]  Giuseppe Longo,et al.  No entailing laws, but enablement in the evolution of the biosphere , 2012, GECCO '12.

[65]  Michael Beaton Phenomenology and Embodied Action , 2013 .

[66]  Xabier E. Barandiaran,et al.  A Dynamical Systems Account of Sensorimotor Contingencies , 2013, Front. Psychol..

[67]  Alexander Maye,et al.  Extending sensorimotor contingency theory: prediction, planning, and action generation , 2013, Adapt. Behav..

[68]  Manuel Glez Bedia,et al.  The situated HKB model: how sensorimotor spatial coupling can alter oscillatory brain dynamics , 2013, Front. Comput. Neurosci..

[69]  Miguel Aguilera,et al.  Analysis of Ultrastability in Small Dynamical Recurrent Neural Networks , 2013, ECAL.

[70]  Learning to Perceive What We Do Not Yet Understand: Letting the World Guide Us , 2014 .

[71]  Ezequiel A. Di Paolo,et al.  The Enactive Approach , 2014 .

[72]  Ezequiel A. Di Paolo,et al.  Non-representational Sensorimotor Knowledge , 2014, SAB.

[73]  Learning to Perceive What We Do Not Yet Understand , 2014 .

[74]  Sophia Kluge,et al.  Computation And Human Experience , 2016 .