no code implementations • 27 Mar 2013 • Paul E. Lehner, Theresa M. Mullin, Marvin S. Cohen
This paper argues that the principal difference between decision aids and most other types of information systems is the greater reliance of decision aids on fallible algorithms--algorithms that sometimes generate incorrect advice.
no code implementations • 27 Mar 2013 • Paul E. Lehner
It is suggested that an AI inference system should reflect an inference policy that is tailored to the domain of problems to which it is applied -- and furthermore that an inference policy need not conform to any general theory of rational inference or induction.
no code implementations • 27 Mar 2013 • Paul E. Lehner
A series of monte carlo studies were performed to assess the extent to which different inference procedures robustly output reasonable belief values in the context of increasing levels of judgmental imprecision.
