Artificial-Intelligence
April 14, 2024Artificial-Intelligence
April 14, 2024Artificial-Intelligence
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Question 44
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In Artificial Intelligence (AI), an environment is uncertain if it is
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Not fully observable and not deterministic
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Not fully observable or not deterministic
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Fully observable but not deterministic
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Not fully observable but deterministic
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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.