Predictive processing in cognitive robotics: a review

A Ciria, G Schillaci, G Pezzulo, VV Hafner… - Neural …, 2021 - ieeexplore.ieee.org
Predictive processing has become an influential framework in cognitive sciences. This
framework turns the traditional view of perception upside down, claiming that the main flow …

A predictive coding account for cognition in human children and chimpanzees: A case study of drawing

A Philippsen, Y Nagai - IEEE Transactions on Cognitive and …, 2020 - ieeexplore.ieee.org
Humans and chimpanzees differ in their cognitive abilities, in particular, in social-cognitive
processing; however, the underlying neural mechanisms are still unknown. Based on the …

Simulating developmental and individual differences of drawing behavior in children using a predictive coding model

A Philippsen, S Tsuji, Y Nagai - Frontiers in Neurorobotics, 2022 - frontiersin.org
Predictive coding has recently been proposed as a mechanistic approach to explain human
perception and behavior based on the integration of perceptual stimuli (bottom-up …

A predictive coding model of representational drawing in human children and chimpanzees

A Philippsen, Y Nagai - 2019 Joint IEEE 9th International …, 2019 - ieeexplore.ieee.org
Humans and chimpanzees differ in the way that they draw. Human children from a certain
age tend to create representational drawings, that is, drawings which represent objects …

The world seems different in a social context: A neural network analysis of human experimental data

M Tsfasman, A Philippsen, C Mazzola, S Thill, A Sciutti… - Plos one, 2022 - journals.plos.org
Human perception and behavior are affected by the situational context, in particular during
social interactions. A recent study demonstrated that humans perceive visual stimuli …

Shared Perception in Human-Robot Interaction

C Mazzola - 2023 - tesidottorato.depositolegale.it
Interaction can be seen as a composition of perspectives: the integration of perceptions,
intentions, and actions on the environment two or more agents share. For an interaction to …

[PDF][PDF] Controlling the sense of agency in dyadic robot interaction: an active inference approach.

N Wirkuttis, J Tani - arxiv [Preprint], 2021 - groups.oist.jp
This study investigated how social interaction among robotic agents changes dynamically
depending on individual sense of agency. In a set of simulation studies, we examine dyadic …

Meta-learning Contributes to Cultivation of Wisdom in Moral Domains: Implications of Recent Artificial Intelligence Research and Educational Considerations

H Han - philpapers.org
Meta-learning is learning to learn, which includes the development of capacities to transfer
what people learned in one specific domain to other domains. It facilitates finetuning …