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.
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.
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.
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.
3) On which of the mentioned points does the Probabilistic Reasoning depend?
- Estimation
- Likelihood
- Observations
- All of the above
Correct answer: 4
All of the above
All the mentioned reasons are valid as the Probabilistic reasoning depends upon all of them.
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
Correct answer: 2
Estimated values
Probabilistic theory helps us to derive an estimate about how much an event is likely to occur or happen.
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
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.