Name
Abstract | ||
|---|---|---|
A long-standing dream of artificial intelligence has been to put commonsense knowledge into computers-enabling machines to reason about every day life. Some projects, such as Cyc, have begun to amass large collections of such knowledge. However, it is widely assumed that the use of common sense in interactive applications will remain impractical for years, until these collections can be considered sufficiently complete and commonsense reasoning sufficiently robust. Recently, at the Massachusetts Institute of Technology's Media Laboratory, we have had some success in applying commonsense knowledge in a number of intelligent interface agents, despite the admittedly spotty coverage and unreliable inference of today's commonsense knowledge systems. This article surveys several of these applications and reflects on interface design principles that enable successful use of commonsense knowledge. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1609/aimag.v25i4.1785 | AI MAGAZINE |
Keywords | Field | DocType |
knowledge systems,artificial intelligent,common sense reasoning,interface design | Commonsense knowledge,Everyday life,Common sense,Inference,Intelligent interface,Computer science,AI-complete,Commonsense reasoning,Artificial intelligence,Interface design | Journal |
Volume | Issue | ISSN |
25 | 4 | 0738-4602 |
Citations | PageRank | References |
10 | 1.62 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Henry Lieberman | 1 | 598 | 89.70 |
| Hugo Liu | 2 | 739 | 102.53 |
| Push Singh | 3 | 358 | 31.13 |
| Barbara Barry | 4 | 89 | 10.38 |