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Predictive Coding for Cognitive Development

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Active inference; Bayesian brain; Free energy principle; Perceptual inference; Predictive coding


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.


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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Correspondence to Yukie Nagai .

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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.

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