RESUMO
SignificanceMany bad decisions and their devastating consequences could be avoided if people used optimal decision strategies. Here, we introduce a principled computational approach to improving human decision making. The basic idea is to give people feedback on how they reach their decisions. We develop a method that leverages artificial intelligence to generate this feedback in such a way that people quickly discover the best possible decision strategies. Our empirical findings suggest that a principled computational approach leads to improvements in decision-making competence that transfer to more difficult decisions in more complex environments. In the long run, this line of work might lead to apps that teach people clever strategies for decision making, reasoning, goal setting, planning, and goal achievement.
Assuntos
Inteligência Artificial , Tomada de Decisões , HumanosRESUMO
Pressure sores in geriatric patients represent a challenge for all disciplines involved in the treatment process; however, the prerequisite for successful treatment is the elaboration of an interdisciplinary treatment concept. The treatment goals should be adapted to the individual needs of the patients including the life situation, general condition and local findings. In addition to general basic operative techniques, such as wound cleansing and conditioning, plastic and reconstructive surgery provides a wide range of highly specialized operative techniques for the treatment of these patients by which a definitive defect coverage can be achieved. The aim of this article is to raise awareness for these complex and highly specialized procedures for all disciplines participating in the treatment in order to improve the interdisciplinary cooperation and ultimately the quality of treatment.
