00971nas a2200133   4500000000100000000000100001008004100002260000900043100001800052245004800070300001000118490000600128520070300134       1998                            d  c19981 aAndrew Borden00aHuman Intuition and Decision-making Systems  a67-720 v13 a<p>Machine-aided decision-making in complicated situations is demonstrably superior to unaided, human decision-making. In addition to being consistent and unbiased, computers can perform the very complex calculations needed to design formal, self-validating decision-making systems. An important advantage to self-validating systems is that they provide statistics which allow the user to diagnose and compensate for difficulties associated with complexity. This paper contains examples of problem domains which seem similar, but for which the difficulty varies greatly. The absence of intuition would have made the design of decision-making algorithms risky, if not impossible, in these cases.</p>