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mcq 队列_人工智能能力问答中的人工智能概率推理(MCQ)

發布時間:2025/3/11 编程问答 23 豆豆
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1) Which of the following correctly defines the use of probabilistic reasoning in AI systems?
  • In situations of uncertainty, probabilistic theory can help us give an estimate of how much an event is likely to occur or happen.

  • It helps to find the probability whether the agent should do the task or not.

  • It does not help at all.

  • None of the above.

  • Answer & Explanation

    Correct answer: 1
    In situations of uncertainty, probabilistic theory can help us give an estimate of how much an event is likely to occur or happen.

    The only option (1) is the valid reason which correctly defines the use of probabilistic reasoning in AI systems.

    1)以下哪項正確定義了AI系統中概率推理的使用?
  • 在不確定的情況下,概率理論可以幫助我們估計事件可能發生或發生的程度。

  • 這有助于查找代理是否應執行任務的可能性。

  • 它根本沒有幫助。

  • 以上都不是。

  • 答案與解釋

    正確答案:1
    在不確定的情況下,概率理論可以幫助我們估計事件可能發生或發生的程度。

    唯一的選擇(1)是正確定義AI系統中概率推理用法的有效原因。

    2) In which of the following mentioned statements, probabilistic reasoning is applicable?
  • The number occurred on rolling a die.

  • What will the temperature tomorrow?

  • What card will get on picking a card from a fair deck of 52 cards?

  • What output will we get on tossing a coin?

  • Options:

  • Only iv.

  • All i., ii., iii. and iv.

  • ii. and iv.

  • Only ii.

  • Answer & Explanation

    Correct answer: 2
    All i., ii., iii. and iv.

    We cannot be 100% sure about the output we get on tossing a die, coin or picking a card, or the upcoming day’s temperature as it depends on various factors which are almost impossible to monitor accurately. However, probabilistic reasoning is applicable there.

    2)在以下哪個陳述中,概率推理適用?
  • 該數字發生在模具旋轉時。

  • 明天溫度是多少?

  • 從公平的52張牌中挑選一張牌會得到什么牌?

  • 我們扔硬幣會得到什么輸出?

  • 選項:

  • 只有iv。

  • 全部i。,ii。,iii。 iv。

  • ii。 iv。

  • 只有ii。

  • 答案與解釋

    正確答案:2
    全部i。,ii。,iii。 iv。

    我們不能百分百確定我們繼續擲骰子,硬幣或撿卡所獲得的輸出,或即將到來的一天的溫度,因為它取決于幾乎無法精確監控的各種因素。 但是,概率推理在此適用。

    3) On which of the mentioned points does the Probabilistic Reasoning depend?
  • Estimation

  • Likelihood

  • Observations

  • All of the above

  • Answer & Explanation

    Correct answer: 4
    All of the above

    All the mentioned reasons are valid as the Probabilistic reasoning depends upon all of them.

    3)概率推理取決于哪一點?
  • 估算值

  • 可能性

  • 觀察結果

  • 上述所有的

  • 答案與解釋

    正確答案:4
    上述所有的

    所有提到的原因都是有效的,因為概率論推理取決于所有這些原因。

    4) The results that we get after we apply probabilistic reasoning to a problem are,
  • 100% accurate

  • Estimated values

  • Wrong values

  • None of the above

  • Answer & Explanation

    Correct answer: 2
    Estimated values

    Probabilistic theory helps us to derive an estimate about how much an event is likely to occur or happen.

    4)將概率推理應用于問題后所得到的結果是,
  • 100%準確

  • 估計值

  • 值錯誤

  • 以上都不是

  • 答案與解釋

    正確答案:2
    估計值

    概率理論可幫助我們得出有關事件可能發生或發生的程度的估計。

    5) State whether the following condition is true or false?
    "The sum of all these probabilities for an experiment is always 1 because all these events/alternatives can happen only within this experiment."
  • True

  • False

  • Answer & Explanation

    Correct answer: 1
    True

    It is the basic and most important law of probability that the sum of probabilities for an experiment is always 1.

    5)陳述以下條件是對還是錯?
    “一個實驗的所有這些概率之和總為1,因為所有這些事件/替代方案都只能在該實驗中發生。”
  • 真正

  • 答案與解釋

    正確答案:1
    真正

    實驗的概率總和始終為1是概率的基本且最重要的定律。

    翻譯自: https://www.includehelp.com/ml-ai/artificial-intelligence-probabilistic-reasoning-in-ai-aptitude-questions-and-answers-mcq.aspx

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