Automatic reasoning techniques in artificial intelligence that involve some degree of risk or uncertainty and so cannot guarantee absolutely correct solutions. Examples include the use of probability methods, abduction, and most machine learning techniques. Typical plausible reasoning problems, such as diagnosis, illustrate their differences from the classic algorithmic/logical paradigm.