Artificial Intelligence MCQ

Answer: b
Explanation: AI is abbreviated as Artificial Intelligence. It is used to create systems or build machines to think and work like humans.

Answer: c
Explanation: Artificial Intelligence is the development of intelligent systems that work and react in the same way that humans do. Intelligence is a process or a component of the ability to achieve goals in the world. People, animals, and a few machines all have different types and degrees of intelligence.

Answer: c
Explanation: John McCarthy was a pioneer in Artificial Intelligence research, helping to name the field and spending decades teaching computers to grasp concepts that are intuitive to humans.

Answer: a
Explanation: Machine learning is one of the important sub-areas of Artificial Intelligence likewise Neural Networks, Computer Vision, Robotics, and NLP are also the sub-areas. In machine learning, we build or train ML models to do certain tasks.

Answer: c
Explanation: Artificial Intelligence’s goal is to explain various sorts of intelligence.

Answer: b
Explanation: Language understanding and problem-solving come under the NLP and Text Analysis area which involves text recognition and sentiment analysis of the text. NLP ML model is trained to mainly do the task which processes human language’s speech or text. For example voice assistant.

Answer: c
Explanation: It is categorized into 3 steps Sensing, Reasoning, Acting
i) Sensing: Through the sensor taking in the data about the world
ii) Reasoning: Reasoning is thinking or processing the data sensed by the sensor.
iii) Action: On the basis of input and reasoning, acting is generating and controlling actions in the environment.

Answer: c
Explanation: The two main categorizations of AI are based on the capability and functionality. Based on capability it is divided into Artificial Narrow Intelligence (ANI), Artificial General Intelligence (AGI), and Artificial Super Intelligence (ASI). Based on functionality it is divided into reactive machines, limited memory, theory of mind, and self-awareness.

Answer: a
Explanation: Intelligence is intangible and is composed of mainly five techniques. Learning is the process of gaining knowledge by understanding, practicing, being taught, or experiencing one thing. Learning enhances the awareness of any topic, hence learning is one of the important components.

Answer: c
Explanation: A math function that converts a collection of perceptions into actions is known as the agent function. The function is implemented using agent software. An agent is responsible for the actions performed by the machine once it senses the environment.

Answer : d

Explanation : According to AI agent classifications (commonly discussed in books like Artificial Intelligence: A Modern Approach), the main types of AI agents are:

1. Simple Reflex Agent – Acts only on the current percept.
2. Model-Based Agent – Uses internal state.
3. Goal-Based Agent – Acts to achieve goals.
4. Utility-Based Agent – Maximizes utility.
5. Learning Agent – Improves performance over time.

Unity-based AI agent is not a recognized AI agent type.
Unity is a game development engine (Unity), not a category of AI agent.

Answer: a
Explanation: Perl is a scripting language. Whereas other programming languages are used to program AI machines.

Answer: b
Explanation: STUDENT is the name of the Artificial Intelligence system developed by Daniel Bobrow in 1964. Daniel Bobrow had used LISP programming language to write this AI program for his PhD thesis.

Answer: c
Explanation: The system STUDENT developed by Daniel Bobrow was written in LISP to read and solve algebra word problems of high school books. This is referred as the achievement in the field of Natural Language Processing.

Answer: d
Explanation: Face recognition system, Chatbots, and LIDAR are the various applications of AI in various fields like security system, business, automobiles etc. DBMS is used to store and manipulate data.

Answer: d
Explanation: Actuators are used in machines to convert energy from one form to another to perform a physical function. The sensor is a device that receives signals from the physical environment to detect the changes. Systems receive input from humans and interpret the outputs.

Answer: a
Explanation: There are four types of informed search methods. The four types of informed search method are best-first search, Greedy best-first search, A* search and memory bounded heuristic search.

Answer: c
Explanation: There are totally 2 proposition symbols. The two proposition symbols are true and false.

Answer: b
Explanation: There are totally five logical symbols. The five logical symbols are:
a) Negation
b) Conjunction
c) Disjunction
d) Implication
e) Biconditional

Answer: d
Explanation: Strong AI is used to build machines that can truly reason and solve problems.
Weak AI deals with building computer-based Artificial Intelligence that can act as if it were intelligent but cannot truly reason and solve problems. Applied approach creates commercially viable “smart” systems.
In the Cognitive approach, a computer is used to test theories about how the human mind works.

Answer: b
Explanation: Applied approach aims to produce commercially viable “smart” systems such as, for example, a security system that recognizes the faces of people to provide access. The applied approach has already enjoyed considerable success.

Answer: d
Explanation: Artificial intelligence creates a machine that can think and make decisions without human involvement.

Answer: b
Explanation: An AI agent learns from previous states by saving it and responding to the same situation better if it occurs again in the future. Hence, learning can improve the performance of an AI agent.

Answer: c
Explanation: An AI agent program will implement function mapping percepts to actions.

Answer: b
Explanation: Weak approach is concerned with the development of a computer-based artificial intelligence that can behave intelligently but cannot really reason or solve issues. According to Weak approach, properly configured computers can mimic human intellect.

Answer: d
Explanation: Artificial Intelligence is used in all the fields to make work easier and complete the work before the deadline. However, it could not excel in these fields. Hence, these areas need more focus for improvements.

Answer: d
Explanation: Humans can be considered agents. Sensors include eyes, ears, skin, taste buds, and so on, whereas effectors include hands, fingers, legs, and mouth. Agents are robots. Sensors on robots might include a camera, sonar, infrared, bumper, and so on. Actuators can include grippers, wheels, lights, speakers, and other components. Based on its senses, autonomous spacecraft makes decisions on its own.

Answer: d
Explanation: In recent days AI is used in all sectors in different forms. All sectors require intelligence and automation for its working.

Answer: d
Explanation: An AI agent is defined as anything that uses sensors and actuators to perceive and act on the environment. It receives information from its surroundings via sensors, executes operations, and outputs via actuators.

Answer: b
Explanation: In a deterministic environment the output is determined based on a particular state. If the environment is deterministic except for the action of other agents it is called deterministic.

Answer: d
Explanation: Many popular goods, such as microwave ovens, cars, and plug-in circuit boards for desktop PCs, employ the first widely-used commercial form of Artificial Intelligence. It enables robots to handle ambiguous data with a dexterity that resembles human intuition.

Answer: b
Explanation: ILP (Inductive logic programming) is a subfield of artificial intelligence. Because ILP can participate in the scientific cycle of experimentation So that it can produce a flexible structure.

Answer: c
Explanation: A Bayesian network provides a complete description of the domain.

Answer: d
Explanation: There are two types of quantification. They are:
a) Universal
b) Existential

Answer: a
Explanation: Weak AI is the study of mental faculties using mental models implemented on a computer.

Answer : d

Explanation : The 5 Big Ideas of AI include:

1. Perception – AI systems can sense and interpret data (images, speech, etc.).
2. Representation & Reasoning – AI models the world and makes logical decisions.
3. Learning – AI improves performance from data (machine learning).
4. Natural Interaction (Human-AI Interaction) – AI communicates with humans through language, speech, or gestures.
5. Societal Impact – AI affects ethics, jobs, privacy, and society.

All are part of the Big Ideas framework (commonly referenced in AI education initiatives like AI4K12).