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Desafío REAS: agentes y entornos

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Desafío REAS: agentes y entornos

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Quiz REAS: agentes y entornos.

Created by

Cristian Javier Saltos Ponce
Cristian Javier Saltos Ponce
Ecuador

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Desafío REAS: agentes y entornos
 

Desafío REAS: agentes y entornosOnline version

Quiz REAS: agentes y entornos.

by Cristian Javier Saltos Ponce
1

El modelo REAS no considera el rendimiento para evaluar agentes.

2

Los actuadores son sensores que recogen información.

3

Determinista es lo mismo que estocástico.

4

En REAS, el rendimiento describe la velocidad de procesamiento de la CPU del agente.

5

La especificación de entornos de trabajo ignora la capacidad de aprendizaje de los agentes.

6

Los actuadores únicamente permiten acciones mentales internas.

7

Una buena racionalidad implica ignorar las limitaciones temporales.

8

Un entorno estático es aquel que cambia constantemente durante la tarea.

9

La Inteligencia Artificial en REAS se limita a reglas fijas sin capacidad de aprendizaje.

10

Un agente inteligente es siempre determinista.

11

REAS se refiere a Rendimiento, Entorno y Actuadores.

12

En REAS, Entorno se refiere solo al hardware de la máquina.

13

Rendimiento, Entorno, Actuadores se conocen como VALORES.

14

Especificación de entornos no distingue entre dinámico y estático.

15

La racionalidad de un agente no depende de su entorno.

16

Un entorno determinista implica múltiples resultados posibles para la misma acción.

17

Los agentes en REAS siempre son físicos.

18

REAS no considera el rendimiento como parte del modelo.

19

Un entorno estático es completamente inmóvil y no interactúa con el agente.

 
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