Bostrom is the author of over publications,  and has written two books and co-edited two others. Superintelligence was a New York Times bestseller,  was recommended by Elon Musk and Bill Gates among others, and helped to popularize the term " superintelligence ". Bostrom believes that superintelligence, which he defines as "any intellect that greatly exceeds the cognitive performance of humans in virtually all domains of interest," is a potential outcome of advances in artificial intelligence. He views the rise of superintelligence as potentially highly dangerous to humans, but nonetheless rejects the idea that humans are powerless to stop its negative effects. He sought to educate himself in a wide variety of disciplines, including anthropology, art, literature, and science.
Will future civilisations have enough computing power and programming skills to be able to create "ancestor simulations" - that is the question Nick Bostrom asks us to consider. Perhaps not now, or in 50 years, but within say 10 million years. Put another way: If we extrapolate the expected technological advances and think through the logical conclusions we arrive at the the simulation argument :. Almost all civilisations at our level of development become extinct before becoming technologically mature. The fraction of technologically mature civilisations that are interested in creating ancestor simulations is almost zero.
The simulation hypothesis or simulation theory is the proposal that all of reality, including the Earth and the rest of the universe, could in fact be an artificial simulation, such as a computer simulation. Some versions rely on the development of a simulated reality , a proposed technology that would be able to convince its inhabitants that the simulation was "real". The simulation hypothesis bears a close resemblance to various other skeptical scenarios from throughout the history of philosophy. The hypothesis was popularized in its current form by Nick Bostrom.
In: Science. Definition of simulation: Simulation can be defined as a quantitative technique which describes a process by developing a model of that process and then conduct a series of organized trial and error experiments to predict the behavior of the process through time often with the aid of a computer. It is a method that is used to solve a problem in many areas of management, for example inventory management, queuing problems, profit analysis and project management among others.