AI QUIZE question paper.docx

Full Transcript

Artificial Intelligence Multiple Choice Questions 1\) Artificial Intelligence is about\_\_\_\_\_. 1. Playing a game on Computer 2. Making a machine Intelligent 3. Programming on Machine with your Own Intelligence 4. Putting your intelligence in Machine Hide Answer Workspace **Answer:** b....

Artificial Intelligence Multiple Choice Questions 1\) Artificial Intelligence is about\_\_\_\_\_. 1. Playing a game on Computer 2. Making a machine Intelligent 3. Programming on Machine with your Own Intelligence 4. Putting your intelligence in Machine Hide Answer Workspace **Answer:** b. Making a machine Intelligent. **Explanation:** Artificial Intelligence is a branch of Computer science, which aims to create intelligent machines so that machine can think intelligently in the same manner as a human does. Who is known as the -Father of AI\"? 1. Fisher Ada 2. Alan Turing 3. John McCarthy 4. Allen Newell Hide Answer Workspace **Answer:** c. John McCarthy **Explanation:** John McCarthy was a pioneer in the AI field and known as the father of Artificial intelligence. He was not only the known as the father of AI but also invented the term Artificial Intelligence. 3\) Select the most appropriate situation for that a blind search can be used. 1. Real-life situation 2. Small Search Space 3. Complex game 4. All of the above Hide Answer Workspace **Answer:** b. Small Search Space **Explanation:** Blind Search is also known as uninformed search, and it does not contain any domain information such as closeness, location of the goal, etc. Hence the most appropriate situation that can be used for the blind search is Small-search Space. 4\) The application/applications of Artificial Intelligence is/are PauseNext Mute Current Time 0:39 / Duration 18:10 Loaded: 9.17%   Fullscreen 1. Expert Systems 2. Gaming 3. Vision Systems 4. All of the above Hide Answer Workspace **Answer:** d. All of the above **Explanation:** All the given options are the applications of AI. 5\) Among the given options, which search algorithm requires less memory? 1. Optimal Search 2. Depth First Search 3. Breadth-First Search 4. Linear Search Hide Answer Workspace **Answer:** b. Depth First Search **Explanation:** The Depth Search Algorithm or DFS requires very little memory as it only stores the stack of nodes from the root node to the current node. AI MCQ 6\) If a robot is able to change its own trajectory as per the external conditions, then the robot is considered as the\_\_ 1. Mobile 2. Non-Servo 3. Open Loop 4. Intelligent Hide Answer Workspace **Answer:** d. Intelligent **Explanation:** If a robot is able to change its own trajectory as per the external conditions, then the robot is considered intelligent. Such type of agents come under the category of AI agents or Rational Agents. 7\) Which of the given language is not commonly used for AI? 1. LISP 2. PROLOG 3. Python 4. Perl Hide Answer Workspace **Answer:** d. Perl **Explanation:** Among the given languages, Perl is not commonly used for AI. LISP and PROLOG are the two languages that have been broadly used for AI innovation, and the most preferred language is Python for AI and Machine learning. 8\) A technique that was developed to determine whether a machine could or could not demonstrate the artificial intelligence known as the\_\_\_ 1. Boolean Algebra 2. Turing Test 3. Logarithm 4. Algorithm Hide Answer Workspace **Answer:** b. Turing Test **Explanation:** In the year **1950**, mathematician and computing pioneer **Alan Turing** introduced a test to determine whether a machine can think like a human or not, which means it can demonstrate intelligence, known as the [**Turing Test**](https://www.javatpoint.com/turing-test-in-ai). It was based on the **\"Imitation game\"** with some modifications. This technique is still a measure of various successful AI projects, with some updates. 9\) The component of an Expert system is\_\_\_\_\_\_\_\_\_. 1. Knowledge Base 2. Inference Engine 3. User Interface 4. All of the above Hide Answer Workspace **Answer:** d. All of the above **Explanation:** Expert system is a part of AI and a computer program that is used to solve complex problems, and to give the decision-making ability like human. It does this with the help of **a Knowledge base, Inference engine, and User interface**, and all these are the components of an Expert System. ![AI MCQ](media/image2.png) 10\) Which algorithm is used in the Game tree to make decisions of Win/Lose? 1. Heuristic Search Algorithm 2. DFS/BFS algorithm 3. Greedy Search Algorithm 4. Min/Max algorithm Hide Answer Workspace **Answer:** d. Min/Max Algorithm **Explanation:** A game tree is a directed graph whose nodes represent the positions in Game and edges represent the moves. To make any decision, the game tree uses the Min/Max algorithm. The [Min/Max algorithm](https://www.javatpoint.com/mini-max-algorithm-in-ai) is the preferred one over other search algorithms, as it provides the best move to the player, assuming that the opponent is also playing Optimally. 11\) The available ways to solve a problem of state-space-search. 1. 1 2. 2 3. 3 4. 4 Hide Answer Workspace **Answer:** b. 2 **Explanation:** There are only two ways to solve the problems of state-space search. 12\) Among the given options, which is not the required property of Knowledge representation? 1. Inferential Efficiency 2. Inferential Adequacy 3. Representational Verification 4. Representational Adequacy Hide Answer Workspace **Answer:** C. Representational Verification **Explanation:** Knowledge representation is the part of Artificial Intelligence that deals with AI agent thinking and how their thinking affects the intelligent behavior of agents. A good knowledge representation requires the following properties: - **Representational Accuracy** - **Inferential Adequacy** - **Inferential Efficiency** - **Acquisitional efficiency** 13\) An AI agent perceives and acts upon the environment using\_\_\_. 1. Sensors 2. Perceiver 3. Actuators 4. Both a and c Hide Answer Workspace **Answer:** d. Both a and c. **Explanation:** An AI agent perceives and acts upon the environment using Sensors and Actuators. With Sensors, it senses the surrounding, and with Actuators, it acts on it. AI MCQ 14\) Which rule is applied for the Simple reflex agent? 1. Simple-action rule 2. Simple &Condition-action rule 3. Condition-action rule 4. None of the above Hide Answer Workspace **Answer:** c. Condition-action rule **Explanation:** The simple reflex agent takes decisions only on the current condition and acts accordingly; it ignores the rest of history; hence it follows the Condition-action rule. 15\) Which agent deals with the happy and unhappy state? 1. Utility-based agent 2. Model-based agent 3. Goal-based Agent 4. Learning Agent Hide Answer Workspace **Answer:** a. Utility-based agent **Explanation:** Utility-based agent uses an extra component of utility that provides a measure of success at a given state. It decides that how efficient that state to achieve the goal, which specifies the happiness of the agent. 16\) Rational agent always does the right things. 1. True 2. False Hide Answer Workspace **Answer:** a. True **Explanation:** Rational agent has clear preference, goal, and acts in a way to maximize its performance. It is said that it always does the right things, which means it gives the best performance for each action. 17\) Which term describes the common-sense of the judgmental part of problem-solving? 1. Values-based 2. Critical 3. Analytical 4. Heuristic Hide Answer Workspace **Answer:** d. Heuristic **Explanation:** In problem-solving, the Heuristic describes the common sense or Judgemental part. 18\) Which AI technique enables the computers to understand the associations and relationships between objects and events? 1. Heuristic Processing 2. Cognitive Science 3. Relative Symbolism 4. Pattern Matching Hide Answer Workspace **Answer:** d. Pattern Matching **Explanation:** Pattern matching is a way to check a given sequence of tokens in order to determine the presence of a given character or data in the given sequence. It allows computers to understand the relationship between objects and events. 19\) The exploration problem is where\_\_\_\_\_\_. 1. Agent contains the knowledge of State and actions. 2. Agent does not contain the knowledge of State and actions. 3. Only actions are known to the agent. 4. None of the above Hide Answer Workspace **Answer:** b. Agent does not contain knowledge State and actions **Explanation:** In Exploration problems, the agent does not contain the knowledge of state space and actions in advance. These are difficult problems and used in the real world. 20\) In the Wumpus World Problem, the reason for the uncertainty is that the agent\'s sensor gives only\_\_ 1. Full & Global information 2. Partial & Global Information 3. Full & local information 4. Partial & local Information Hide Answer Workspace **Answer:** d. Partial & local Information **Explanation:** The Wumpus world is an example environment that is made of grids of squares surrounded by walls. Each square can have agents or objects. The world is used to demonstrate the worth of a knowledge-based agent and knowledge representation. In the environment, uncertainty arises as the agent can only perceive the close environment. The Wumpus world is represented in below image: ![AI MCQ](media/image4.png) 21\) The search algorithm which is similar to the minimax search, but removes the branches that don\'t affect the final output is known as\_\_. 1. Depth-first search 2. Breadth-first search 3. Alpha-beta pruning 4. None of the above Hide Answer Workspace **Answer:** c. Alpha-beta pruning **Explanation:** [Alpha-beta pruning](https://www.javatpoint.com/ai-alpha-beta-pruning) algorithm is the modified version of the Minimax algorithm and returns the same moves as the original algorithm, but it removes all those nodes/branches that do not affect the final decision. 22\) The maximum depth to which the alpha-beta pruning can be applied. 1. Eight states 2. Six states 3. Ten states 4. Any depth Hide Answer Workspace **Answer:** d. Any depth **Explanation:** The Alpha-beta pruning can be applied to any depth of the tree and it can eliminate the entire subtree, if it is not affecting the final decision. 23\) Among the given options, which is also known as inference rule? 1. Reference 2. Reform 3. Resolution 4. None of the above Hide Answer Workspace **Answer:** c. Resolution **Explanation:** Resolution is also known as inference rule as it shows the complete inference rule when applied to any search algorithm. 24\) Which of the following option is used to build complex sentences in knowledge representation? 1. Symbols 2. Connectives 3. Quantifier 4. None of the above Hide Answer Workspace **Answer:** **Explanation:** Complex sentences are built by combining the atomic sentences using connectives. 25\) Automatic Reasoning tool is used in\_\_\_\_\_. 1. Personal Computers 2. Microcomputers 3. LISP Machines 4. All of the above Hide Answer Workspace **Answer:** c. LISP Machine **Explanation:** ART or Automatic Reasoning tool is used in LISP machines to understand the different aspects of reasonin

Use Quizgecko on...
Browser
Browser