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Artificial Intelligence Learning Agents Aptitude Questions and Answers (MCQ)
Aptitude Questions and Answers (MCQ) | Learning Agents: This section contains aptitude questions and answers on Learning Agents in AI.
Submitted by Monika Sharma, on September 05, 2021
This page contains some multiple-choices questions based on the concept of learning agents in AI systems. The topics covered in the following questions have been already covered in the previous tutorials (AI – Learning Agents) and you can refer them for any kind of help. However, the explanation for each answer has been provided with each question.
1) Which of the following mentioned statements are the valid reasons for implementing the learning part in the systems in AI?
- To implement humanly behavior.
- To deal with unknown environment.
- To improve the reasoning capability of the agent.
- All of the above
Correct answer: 4
All of the above
All the mentioned statements are true and valid reasons for implementing the learning part in the AI systems.
2) Which of the following streams of AI deal with the learning part of the machine (AI systems)? Choose from the following options?
- Machine Learning
- Cloud computing
- Humanly Learning
- Only i.
- i. and iii.
- ii. and iii.
- All i, ii. and iii.
Correct answer: 1
Only i.
The stream of AI that deals with the learning part of the machine (AI systems) is Machine Learning.
3) How many types of learning are there for an AI system?
- 2 types
- 3 types
- 4 types
- None of the above
Correct answer: 2
3 types
The Learning process in the AI agent is broadly classified into three types. They are:
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning (or semi supervised learning)
4) Consider the following statement:
"Semi-supervised learning is a type of learning which falls between supervised and unsupervised learning."
By reading the above statement, Choose from the following?
- Yes, the given statement is true
- No, the given statement is false as there is nothing such as semi-supervised learning
Correct answer: 1
Yes, the given statement is true
The given statement: "Semi-supervised learning is a type of learning which falls between supervised and unsupervised learning" is true.
5) How does the agent learn through its surroundings?
- By perceiving the environment through sensors
- By human's sensory organs
- Both 1) and 2)
- None of the above
Correct answer: 1
By perceiving the environment through sensors
The agent implements the learning part from its surroundings through its sensors, like the camera, audio input devices, temperature sensors etc.