By Romportl Jan, Ircing Pavel, Zackova Eva, Schuster Radek, Polak Michal (eds.)
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Extra info for Beyond AI: Interdisciplinary Aspects of Artificial Intelligence
That is, programmers are able to develop code to be executed on each GPU thread at the same time. This way they can take advantage of the GPU parallel architecture in order to obtain enormous speed-up if compared to sequential versions of the same code. More information about the CUDA programming model can be found on . GPGPU and CUDA have been already successfully applied in order to simulate different kinds of P systems. To the best of our knowledge, they have been applied to simulate cell-like object-based P systems  and spiking neural P systems .
Based on these strengths, ECA technology may be useful in Health domains where long-term and trustworthy interactions are needed . Remaining centred in the Health domain, we identify two points in which ECA technology have been considered useful: 1. Doctor assistant. Using the ECAs to give assistance and support to health workers, assisting in staff learning and training tasks on specific subjects. One example is the work carried out in , in which an ECA with “humane” and affective capabilities is used as a “virtual patient”.
One example is the work carried out in , in which an ECA with “humane” and affective capabilities is used as a “virtual patient”. In this application, doctors can learn how to give negative news to their real patients using the ECA as a virtual subject. 2. Patient assistant. From the patient’s point of view, there are many applications that use the gestural and behavioural abilities of an ECA to act as a “virtual nurse”. Thus, in , a hospital bedside patient education system for individuals with low health literacy is presented, focused on pre-discharge medication adherence and self-care counselling.
Beyond AI: Interdisciplinary Aspects of Artificial Intelligence by Romportl Jan, Ircing Pavel, Zackova Eva, Schuster Radek, Polak Michal (eds.)