AI Question Bank PDF - SRI VENKATESWARA COLLEGE

SRI VENKATESWARA COLLEGE OF ENGINEERING (AUTONOMOUS) Karakambadi Road, TIRUPATI – 517507 Question bank Name of the Branch/Course CSE(AI&ML)/B.Tech Subject ARTIFICIAL...

SRI VENKATESWARA COLLEGE OF ENGINEERING (AUTONOMOUS) Karakambadi Road, TIRUPATI – 517507 Question bank Name of the Branch/Course CSE(AI&ML)/B.Tech Subject ARTIFICIAL INTELLIGENCE Subject Code AM20APC501 Year & Sem III YEAR & I SEM 10 Marks Questions Unit – 1 1 Define AI? Explain History of AI. 2 Discuss about State of Art of AI. 3 Explain in detail about rationality with an example. 4 Explain the task environment based on different types of the nature. 5 What is an agent? Explain the basic kinds of agent program 6 Explain in detail about Foundations of AI Unit – 2 1 Discuss uninformed search methods with examples. 2 Explain the A* search and give the proof of optimality of A* Explain AO* algorithm with a suitable example. State the limitations in the 3 algorithm? 4 Explain various types of local search techniques 5 Explain about hill climbing algorithm with an example. 6 Explain about online search agent and unknown environment. 7 Discuss about Genetic algorithm. 8 Briefly explain searching with Non-deterministic actions? 9 What is Simulated Annealing? Explain different stages of Simulated Annealing. Unit – 3 1 Give the syntactic tree for the sentence “The boy ate the apple”. 2 List the types of grammars.. Differentiate – Top down & Bottom Up parsing, Deterministic & Non 3 deterministic parsing,.. 4 What is the role of semantic analysis in NLP? What is machine translation? What are different types of machine 5 translation?. Draw the schematic of a machine translation and explain for an example 6 problem 7 Discuss about early image processing operations 8 Define computer vision? Explain Reconstructing the 3-d world object Unit – 4 1 Define Robot? Explain Robot hardware components. 2 Discuss about Robotic Perception 3 Draw Robotic software Architecture. 4 Explain in detail about Robot plan to move 5 Differentiate between Strong AI and Weak AI 6 Explain applications of Robotics Unit – 5 1 Explain the Bayesian Networks 2 Explain Probability and Bay’s Theorem. 3 Explain about act under uncertainty? 4 Describe in detail about axioms of probability 5 Explain in detail about inferences in full joint distribution 6 Explain temporal and HMM model 2 Marks Questions Unit – 1 1 Define Artificial intelligence? 2 Define Cognitive science? 3 Discuss about Agent architecture? 4 List the components of agent and environment? 5 Define Rationalization? 6 List it's any two applications of AI. 7 What is intelligent agent? 8 What is meant by Turing test? 9 What is important for task environment? 10 State the various properties of environment. Unit – 2 1 Define problem solving agent. 2 List the components involved in formulation of well defined problem. 3 List the performance measures of search strategies. 4 Define Online search agent. 5 Define PEAS 6 Differentiate Blind Search and Heuristic Search. 7 Define Backtracking search. 8 What is local search? 9 Give the drawback of DFS. 10 What are the drawbacks of hill climbing?. Unit – 3 1 What is the use of computer vision in AI? 2 What is NLTK? 3 List any two real-life applications of Natural Language Processing. 4 What is Syntactic Analysis?. 5 What is Semantic Analysis? 6 List the components of Natural Language Processing. 7 What is TF-IDF? 8 What is the difference between NLP and NLU? 9 What is Pragmatic Analysis?. 10 What are unigrams, bigrams, trigrams, and n-grams in NLP?  Unit – 4 1 Define Robotics? 2 Define Passive sensor? 3 Explain Active sensor? 4 List the applications of Robotics? 5 What is meant by Gross motion planning 6 What is meant by Fine motion planning? 7 Discuss about Robotic perception? 8 Define DOF? 9 List two examples of Strong AI and Weak AI? 10 Discuss about layers in Robotic Software architecture? Unit – 5 1 Why does uncertainty arise ? 2 Define conditional probability? 3 Define joint probability distribution 4 Give the Baye's rule equation 5 What is a Bayesian network, and why is it important in AI? 6 Explain Axioms of Probability? 7 What is meant by Temporal model? 8 What is meant by HMM? 9 How to handle uncertainity in ai? 10 Explain Decision theory?