« AI-complete » : différence entre les versions
(Page créée avec « == Domaine == Category:Vocabulary == Définition == == Termes privilégiés == == Anglais == === AI-complete === In the field of artificial intellige... ») |
Aucun résumé des modifications |
||
| Ligne 1 : | Ligne 1 : | ||
== Domaine == | == Domaine == | ||
[[Category:Vocabulary]] | [[Category:Vocabulary]]Vocabulary<br /> | ||
== Définition == | == Définition == | ||
Version du 18 mars 2018 à 21:29
Domaine
Vocabulary
Définition
Termes privilégiés
Anglais
AI-complete
In the field of artificial intelligence, the most difficult problems are informally known as AI-complete or AI-hard, implying that the difficulty of these computational problems is equivalent to that of solving the central artificial intelligence problem—making computers as intelligent as people, or strong AI.[1] To call a problem AI-complete reflects an attitude that it would not be solved by a simple specific algorithm.
AI-complete problems are hypothesised to include computer vision, natural language understanding, and dealing with unexpected circumstances while solving any real world problem.[2]
Contributeurs: Claude Coulombe, wiki
