Beating Common Sense into Interactive Applications
A long‐standing dream of artificial intelligence has been to put commonsense knowledge into computers—enabling machines to reason about everyday 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 in...
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| Veröffentlicht in: | The AI magazine 2004-12, Vol.25 (4), p.63-76 |
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| container_end_page | 76 |
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| container_title | The AI magazine |
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| creator | Lieberman, Henry Liu, Hugo Singh, Push Barry, Barbara |
| description | A long‐standing dream of artificial intelligence has been to put commonsense knowledge into computers—enabling machines to reason about everyday 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. |
| doi_str_mv | 10.1609/aimag.v25i4.1785 |
| format | Article |
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| ispartof | The AI magazine, 2004-12, Vol.25 (4), p.63-76 |
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| language | eng |
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| source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Alma/SFX Local Collection |
| subjects | Artificial intelligence Commonsense reasoning Computers Intelligent agents Interactive computer systems Interactive systems Interfaces Keywords Knowledge Knowledge representation Semantics |
| title | Beating Common Sense into Interactive Applications |
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