BI 225 Henk De Regt: Understanding in Machines and Humans
…account applies to understanding in humans and machines.
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…account applies to understanding in humans and machines.
Humans have the capacity to persist in behavioural policies, even in challenging environments that lack immediate reward. Our persistence could be the scaffold on which many higher executive functions are built. However, it remains unclear whether humans are uniquely persistent or, instead, if this capacity is widely conserved across species. This question is all the more important because we regularly use animals, like mice or monkeys, as models for humans experiencing neurobiological conditions in which persistence is compromised. Here, we compared humans with mice and monkeys in harmonised
The ability to robustly recognize strings of letters, a cornerstone of reading, was observed in Baboons and Pigeons despite their lack of phonological and semantic knowledge. Here, we apply a comparative modeling approach to investigate the neuro-cognitive basis of Human, Baboon, and Pigeon orthographic decision behavior, addressing whether phylogenetic relatedness entails similar underlying neuro-cognitive phenotypes. We use the highly transparent Speechless Reader Model (SLR), which assumes letter string recognition based on widely accepted computational principles of predictive coding so th
To investigate the origins of social cognition, we need to look beyond the human species. Investigations within primates constrain us to a linear understanding of evolution. Dogs have emerged as an alternative animal model because our last common ancestor with them dates back 95-100 million years. They have advanced socio-cognitive skills, even when discounting recent domestication effects, not present in many other mammals, suggestive of convergent rather than linear evolution. Moreover, they can be trained to perform awake and unrestrained functional magnetic resonance imaging. To better und
…three species—mice, monkeys, and humans—completing the same highly immersive virtual reality (VR) foraging task (Fig.1A). This allows us to continuously track behavioural decisio