Artificial Intelligence with Uncertainty, Second Edition is concerned with uncertainty in artificial intelligence. Uncertainty in human intelligence and human knowledge is universal, objective, and beautiful but also difficult to simulate. The models and reasoning mechanisms for artificial intelligence with uncertainty are discussed in this book through cloud model, cloud transformation, data field, intelligent control, and swarm intelligence. The second edition of Artificial Intelligence with Uncertainty adds coverage of soft computing, semantic computing, granular computing, cloud computing, the Internet of Things, and big data over the years. It also, Discusses the objectivity, universality, and positivity of the existence of uncertainty in human knowledge and intelligence, Studies the mathematical basis, feature, representation, model, inference mechanism, certainty of the uncertain thinking activities of artificial intelligence with uncertainty, Expands hierarchically from the cloud model used for qualitative and quantitative transformation and the physical method of cognition to data mining, knowledge discovery, and intelligent, control, Identifies the regularity in uncertain knowledge and intelligent processing, and finally, Forecasts the development direction of research on artificial intelligence with uncertainty. The authors' research has given the second edition of Artificial Intelligence with Uncertainty a distinct character, making it valuable for scientists, engineers, and graduate students engaged in cognitive science, Al theory, and knowledge engineering. Book jacket.