Name
Abstract | ||
|---|---|---|
Abstract We articulate the three major fmdings of AI to date: (1) The Knowledge,Principle: if a program,is to perform a complex task well, it must know a great deal about the world in which it operates. (2) A plausible extension of that principle, called the Breadth Hypothesis: there are two additional abilities necessary for intelligent behavior in unexpected,situations: falling back on increasingly general knowledge, and analogizing to specific but far-flung knowledge.,(3) AI as Empirical Inquiry: we must test our ideas experimentally, on large problems. Each of these three hypotheses proposes a particular threshold to cross, which leads to a qualitative change,in emergent intelligence. Together, they determine a direction for future AI research. 1. The Knowledge,Principle |
Year | DOI | Venue |
|---|---|---|
1987 | 10.1016/0004-3702(91)90055-O | Hitachi City, Japan |
Keywords | DocType | Volume |
great deal,emergent intelligence,empirical inquiry,general knowledge,additional ability,future ai research,complex task,knowledge principle,farflung knowledge,breadth hypothesis | Conference | 47 |
Issue | ISSN | Citations |
1-3 | 0004-3702 | 84 |
PageRank | References | Authors |
26.85 | 10 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Douglas B. Lenat | 1 | 1986 | 895.91 |
| Edward A. Feigenbaum | 2 | 518 | 406.85 |