Artificial-Intelligence
April 14, 2024Artificial-Intelligence
April 14, 2024Artificial-Intelligence
| Question 44 |
In Artificial Intelligence (AI), an environment is uncertain if it is
| Not fully observable and not deterministic | |
| Not fully observable or not deterministic | |
| Fully observable but not deterministic
| |
| Not fully observable but deterministic
|
Question 44 Explanation:
→ Deterministic AI environments are those on which the outcome can be determined based on a specific state. In other words, deterministic environments ignore uncertainty.
→ Most real world AI environments are not deterministic. Instead, they can be classified as stochastic. Self-driving vehicles are a classic example of stochastic AI processes.
→ Most real world AI environments are not deterministic. Instead, they can be classified as stochastic. Self-driving vehicles are a classic example of stochastic AI processes.
Correct Answer: B
Question 44 Explanation:
→ Deterministic AI environments are those on which the outcome can be determined based on a specific state. In other words, deterministic environments ignore uncertainty.
→ Most real world AI environments are not deterministic. Instead, they can be classified as stochastic. Self-driving vehicles are a classic example of stochastic AI processes.
→ Most real world AI environments are not deterministic. Instead, they can be classified as stochastic. Self-driving vehicles are a classic example of stochastic AI processes.