The convergence of human and artificial intelligence is currently receiving considerable scholarly attention. Much debate about the resulting Hybrid Minds focuses on the integration of artificial intelligence into the human brain through intelligent brain- ...
2023
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Before the twentieth century and concrete modernity, it was stone that embodied the “well built”. Could sustainable wood one day replace concrete as the archetypal material? Will it find a place on the scale of values that gives archi- tecture its referenc ...
The research community of dialog generation has been interested in incorporating emotional information into the design of open-domain dialog systems ever since neural networks (sequence-to-sequence models in particular) were adopted for modeling dialogs. T ...
Research on the link between Machiavellianism and depression has yielded equivocal results. In this study, we examined the possible moderating role of ability emotional intelligence (a-EI) on the Machiavellianism-depression relationship. a-EI was approache ...
For decades, neuroscientists and psychologists have observed that animal performance on spatial navigation tasks suggests an internal learned map of the environment. More recently, map-based (or model-based) reinforcement learning has become a highly activ ...
There are good theoretical grounds for seeing emotional intelligence (EI) as important in the teachers' skill set. Yet there is a lack of data on whether student teachers' levels of EI are associated with their teaching performance. This question was addre ...
Increasing situational awareness at human-machine interface level is a key success factor for high efficiency therapies and surgical procedures. On a technical level, cost-effective, reliable sensor integration becomes the most critical element where multi ...
Open-domain chatbots engage with users in natural conversations to socialize and establish bonds. However, designing and developing an effective open-domain chatbot is challenging. It is unclear what qualities of a chatbot most correspond to users' expecta ...
It has been hypothesized that resting state networks (RSNs), extracted from resting state functional magnetic resonance imaging (rsfMRI), likely display unique temporal complexity fingerprints, quantified by their multiscale entropy patterns (McDonough and ...
Recently, age-related hippocampal (HP) volume loss could be associated with a decrease in general fluid intelligence (gF). In the present study we investigated whether and how extensive musical training modulates human HP volume and gF performance. Previou ...