AI-complete - significado y definición. Qué es AI-complete
Diclib.com
Diccionario ChatGPT
Ingrese una palabra o frase en cualquier idioma 👆
Idioma:

Traducción y análisis de palabras por inteligencia artificial ChatGPT

En esta página puede obtener un análisis detallado de una palabra o frase, producido utilizando la mejor tecnología de inteligencia artificial hasta la fecha:

  • cómo se usa la palabra
  • frecuencia de uso
  • se utiliza con más frecuencia en el habla oral o escrita
  • opciones de traducción
  • ejemplos de uso (varias frases con traducción)
  • etimología

Qué (quién) es AI-complete - definición

TERM DESCRIBING DIFFICULT PROBLEMS IN AI
AI-completeness; AI-hard; Unsolved problems in artificial intelligence; AI complete; Computational complexity of artificial intelligence

AI-complete         
<artificial intelligence, jargon> /A-I k*m-pleet'/ (MIT, Stanford: by analogy with "NP-complete") A term used to describe problems or subproblems in artificial intelligence, to indicate that the solution presupposes a solution to the "strong AI problem" (that is, the synthesis of a human-level intelligence). A problem that is AI-complete is, in other words, just too hard. See also gedanken. [Jargon File] (1995-04-12)
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, assuming intelligence is computational, is equivalent to that of solving the central artificial intelligence problem—making computers as intelligent as people, or strong AI.Shapiro, Stuart C.
Ai Morinaga         
JAPANESE MANGA ARTIST
Morinaga, Ai; Morinaga Ai
(28 April 1981 – 2 August 2019) was a female Japanese manga artist from Okayama Prefecture. Among her best-known series are Your and My Secret and My Heavenly Hockey Club.

Wikipedia

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, assuming intelligence is computational, is equivalent to that of solving the central artificial intelligence problem—making computers as intelligent as people, or strong AI. 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.

Currently, AI-complete problems cannot be solved with modern computer technology alone, but would also require human computation. This property could be useful, for example, to test for the presence of humans as CAPTCHAs aim to do, and for computer security to circumvent brute-force attacks.