Write a short (< 250 words) essay entitled "A brief history of decision-making under severe uncertainty, its state of the art and (bright?) future". Throughout history, decision-making under severe uncertainty has been a major challenge for individuals and organizations alike. From military leaders to business executives, people have had to make important decisions without having all the information they need. In recent decades, advances in decision theory, game theory, and artificial intelligence have led to significant progress in decision-making under severe uncertainty. One approach is to use probabilistic models and decision trees to evaluate the potential outcomes of different choices. Another approach is to use machine learning algorithms to identify patterns and make predictions based on limited data. However, there is still much room for improvement. Many real-world problems involve high levels of uncertainty, making it difficult to estimate the probabilities of different outcomes. Moreover, traditional decision-making frameworks may not be applicable to complex, dynamic systems, such as climate change or the global economy. Looking towards the future, there are promising developments in decision-making under severe uncertainty. For example, researchers are exploring new methods for estimating probabilities, such as Bayesian networks and Monte Carlo simulations. There is also a growing emphasis on incorporating expert knowledge and feedback into decision-making processes. In conclusion, decision-making under severe uncertainty is an ongoing challenge, but significant progress has been made in recent years. With ongoing research and development, it is likely that we will see even more innovative approaches to tackling this important issue in the future.