
doi: 10.1109/mis.2006.51
Guessing is what we do when logic and information don't provide sufficient insight to answer a question completely. Current theories and research on intelligent guessing—that is, guessing that's tied to a rational process—are limited and disjoint. An integrated theory of intelligent guessing could provide an organizing theme for research currently performed under multiple AI subdisciplines.This article is part of a special issue on the Future of AI.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 4 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
