ARTIFICIAL INTELLIGENCE WITH PYTHON QUIZ DESCRIPTION Total Questions −30 00 Max Time − 15:00 Which algorithm takes two sentences as input and returns a Unifier? Inference Hill-Climbing Unify algorithm Depth-first search The available ways to solve a problem of state-space-search. 1 2 3 4 Among the given options, which is also known as inference rule? Reference Reform Resolution None of the above Among the given options, which search algorithm requires less memory? Optimal Search Depth First Search Breadth-First Search Linear Search First order logic Statements contains______. Predicate and Preposition Subject and an Object Predicate and Subject None of the above In state-space, the set of actions for a given problem is expressed by the_____. Intermediate States Successor function that takes current action and returns next state Initial States None of the above The probabilistic reasoning depends upon____________. Estimation Observations Likelihood All of the above Which AI technique enables the computers to understand the associations and relationships between objects and events? Heuristic Processing Cognitive Science Relative Symbolism Pattern Matching Which agent deals with the happy and unhappy state? Utility-based agent Model-based agent Goal-based Agent Learning Agent The search algorithm which is similar to the minimax search, but removes the branches that don't affect the final output is known as__. Depth-first search Breadth-first search Alpha-beta pruning None of the above A knowledge-based agent can be defined with _____ levels. 2 Levels 3 Levels 4 Levels None of the above The exploration problem is where______. Agent contains the knowledge of State and actions. Agent does not contain the knowledge of State and actions. Only actions are known to the agent. None of the above The component of an Expert system is_________. Knowledge Base Inference Engine User Interface All of the above In LISP, the addition of 5+8 is entered as_______. 5+8 5 add 8 5+8= (+5 8) After applying conditional Probability to a given problem, we get______ 100% accurate result Estimated Values Wrong Values None of the above If according to the hypothesis, the result should be positive, but in fact it is negative, then it is known as_______. False Negative Hypothesis False Positive Hypothesis Specialized Hypothesis Consistent Hypothesis The application/applications of Artificial Intelligence is/are Expert Systems Gaming Vision Systems AI with Python All of the above Among the given options, which is not the required property of Knowledge representation? Inferential Efficiency Inferential Adequacy Representational Verification Representational Adequacy The maximum depth to which the alpha-beta pruning can be applied. Eight states Six states Ten states Any depth An AI agent perceives and acts upon the environment using___. Sensors Perceiver Actuators Both a and c Which algorithm is used in the Game tree to make decisions of Win/Lose? Heuristic Search Algorithm DFS/BFS algorithm Greedy Search Algorithm Min/Max algorithm Which of the given language is not commonly used for AI? LISP PROLOG Python Perl The main tasks of an AI agent are_______. Input and Output Moment and Humanly Actions Perceiving, thinking, and acting on the environment None of the above The PEAS in the task environment is about____________. Peer, Environment, Actuators, Sense Performance, Environment, Actuators, Sensors Perceiving, Environment, Actuators, Sensors None of the above Rational agent always does the right things. True False First order logic Statements contains______. Predicate and Preposition Subject and an Object Predicate and Subject None of the above In the TSP problem of n cities, the time taken for traversing all cities, without having prior knowledge of the length of the minimum tour will be_______. O(n) O(n2) O(n!) O(n/2) Which of the given statement is true for Conditional Probability? Conditional Probability gives 100% accurate results. Conditional Probability can be applied to a single event. Conditional Probability has no effect or relevance on independent events. None of the above. In the Wumpus World Problem, the reason for the uncertainty is that the agent's sensor gives only__ Full & Global information Partial & Global Information Full & local information Partial & local Information The Bayesian Network gives________ A complete description of the problem Partial Description of the domain A complete description of the domain None of the above Previous Next Total Question16 Wrong Answer13 Right Answer13
