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1. What is the full form of “AI”? a) Artificially Intelligent b) Artificial Intelligence c) Artificially Intelligence d) Advanced Intelligence Answer: b Explanation: AI is abbreviated as Artificial Intelligence. It is used to create systems or build machines to think and work like humans. 2. What is Artificial Intelligence? a) Artificial Intelligence is a field that aims to make humans more intelligent b) Artificial Intelligence is a field that aims to improve the security c) Artificial Intelligence is a field that aims to develop intelligent machines d) Artificial Intelligence is a field that aims to mine the data 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.
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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.
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d) To solve real-world problems
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.
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b) Java c) PROLOG d) LISP
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.
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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
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d) Cognitive approach
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.
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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.
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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.
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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.
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d) None of the mentioned
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.
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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.
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d) All of the mentioned
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.
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d) Fuzzy logic
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: a Explanation: Weak AI is the study of mental faculties using mental models implemented on a computer.
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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.
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c) Designing d) Puzzling
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: There are mainly 5 types of agents:
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