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Predictive processing in cognitive robotics: a review
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 …
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
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 …
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
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 …
perception and behavior based on the integration of perceptual stimuli (bottom-up …
A predictive coding model of representational drawing in human children and chimpanzees
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 …
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
Human perception and behavior are affected by the situational context, in particular during
social interactions. A recent study demonstrated that humans perceive visual stimuli …
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 …
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 …
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 …
what people learned in one specific domain to other domains. It facilitates finetuning …