Definition
Predictive coding for cognitive development is a neuro-inspired theory that provides a unified account for the underlying mechanism of cognitive development. The original theory of predictive coding suggests that the human brain works as a predictive machine, which perceives the world and acts on it to minimize prediction errors. This theory has been extended and embedded within computational models so that robots can reproduce human-like cognitive development.
Overview
Researchers in cognitive developmental robotics (Asada et al. 2001; Asada et al. 2009; Cangelosi and Schlesinger 2015) have proposed various computational models that allow robots to acquire cognitive functions. These studies aim to design human-like intelligence in robots and understand the underlying mechanisms of human development. However, most existing studies have focused on the limited aspects of...
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References
Asada M, MacDorman KF, Ishiguro H, Kuniyoshi Y (2001) Cognitive developmental robotics as a new paradigm for the design of humanoid robots. Robot Auton Syst 37:185–193
Asada M, Hosoda K, Kuniyoshi Y, Ishiguro H, Inui T, Yoshikawa Y et al (2009) Cognitive developmental robotics: a survey. IEEE Trans Auton Ment Dev 1(1):12–34
Association AP (2013) Diagnostic and statistical manual of mental disorders (DSM–5). American Psychiatric Association, Washington
Baraglia J, Nagai Y, Asada M (2016) Emergence of altruistic behavior through the minimization of prediction error. IEEE Trans Cogn Dev Syst 8(3):141–151
Baraglia J, Cakmak M, Nagai Y, Rao RP, Asada M (2017) Efficient human-robot collaboration: when should a robot take initiative? Int J Robot Res 36(5–7):563–579
Baron-Cohen S (1995) Mindblindness: an essay on autism and theory of mind. A Bradford Book, Boston
Bridges KM (1932) Emotional development in early infancy. Child Dev 3(4):324–341
Brock J (2012) Alternative Bayesian accounts of autistic perception: comment on Pellicano and Burr. Trends Cogn Sci 16(12):573–574
Cangelosi A, Schlesinger M (2015) Developmental robotics: from babies to robots. MIT Press, Cambridge, MA
Clark A (2013) Whatever next? Predictive brains, situated agents, and the future of cognitive science. Behav Brain Sci 36(3):181–204
Copete JL, Nagai Y, Asada . (2016) Motor development facilitates the prediction of others’ actions through sensorimotor predictive learning. Proceedings of the 6th IEEE international conference on Development and Learning and on Epigenetic Robotics
Friston K (2010) The free-energy principle: a unified brain theory? Nat Rev Neurosci 11:127–138
Friston K, Kilner J, Harrison L (2006) A free energy principle for the brain. J Physiol Paris 100(1–3):70–87
Horii T, Nagai Y, Asada M (2016) Imitation of human expressions based on emotion estimation by mental simulation. Paladyn J Behav Robot 7(1):40–54
Horii T, Nagai Y, Asada M (2018) Modeling development of multimodal emotion perception guided by tactile dominance and perceptual improvement. IEEE Trans Cogn Dev Syst 10(3):762–775
Iacoboni M, Dapretto M (2006) The mirror neuron system and the consequences of its dysfunction. Nat Rev Neurosci 7:942–951
Knill DC, Pouget A (2004) The Bayesian brain: the role of uncertainty in neural coding and computation. Trends Neurosci 27(12):712–719
Murata S, Namikawa J, Arie H, Sugano S, Tani J (2013) Learning to reproduce fluctuating time series by inferring their time-dependent stochastic properties: application in robot learning via tutoring. IEEE Trans Auton Ment Dev 5(4):298–310
Nagai Y (2019) Predictive learning: its key role in early cognitive development. Philos Trans R Soc B 374(1771):20180030
Paulus M (2014) The emergence of Prosocial behavior: why do infants and toddlers help, comfort, and share? Child Dev Perspect 8(2):77–81
Pellicano E, Burr D (2012) When the world becomes ‘too real’: a Bayesian explanation of autistic perception. Trends Cogn Sci 16(10):504–510
Philippsen A, Nagai Y (2020) Deficits in prediction ability trigger asymmetries in behavior and internal representation. Front Psych 11:564415
Philippsen A, Nagai Y (in press) A predictive coding account for cognition in human children and chimpanzees: a case study of drawing. IEEE Trans Cogn Dev Syst. https://doi.org/10.1109/TCDS.2020.3006497
Rao RP, Ballard DH (1999) Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects. Nat Neurosci 2:79–87
Rizzolatti G, Fadiga L, Gallese V, Fogassi L (1996) Premotor cortex and the recognition of motor actions. Cogn Brain Res 3:131–141
Rizzolatti G, Fogassi L, Gallese V (2001) Neurophysiological mechanisms underlying the understanding and imitation of action. Nat Rev Neurosci 2:661–670
Van de Cruys S, Evers K, Van der Hallen R, Van Eylen L, Boets B, de Wit L, Wagemans J (2014) Precise minds in uncertain worlds: predictive coding in autism. Psychol Rev 121(4):649–675
Warneken F, Tomasello M (2006) Altruistic helping in human infants and young chimpanzees. Science 311:1301–1303
Warneken F, Tomasello M (2007) Helping and cooperation at 14 months of age. Infancy 11(3):271–294
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Nagai, Y. (2021). Predictive Coding for Cognitive Development. In: Ang, M.H., Khatib, O., Siciliano, B. (eds) Encyclopedia of Robotics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41610-1_202-1
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DOI: https://doi.org/10.1007/978-3-642-41610-1_202-1
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