JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD
JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD B.Tech IV Year ARTIFICIAL INTELLIGENCE Previous Question Paper (May - 2019 - R15)
Part A is compulsory which carries 25 marks. Answer all questions in Part A. Part B consists of 5 Units. Answer any one full question from each unit. Each question carries 10 marks and may have a, b, c as sub questions.
PART - A
List the various AI Application Areas.
Answer
AI application areas include Natural Language Processing, Computer Vision, Robotics, Expert Systems, Speech Recognition, Game Playing, and Automated Reasoning.
Differentiate BFS and DFS.
Answer
Breadth-First Search (BFS) explores nodes level by level using a queue, ensuring the shortest path in unweighted graphs but requiring more memory. Depth-First Search (DFS) explores as deep as possible along each branch before backtracking using a stack, which is memory-efficient but does not guarantee the shortest path.
Define Modus Ponen’s rule in Propositional logic.
Answer
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What is frame? How it is used to represent knowledge?
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Define conditional probability.
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List few applications of Expert systems.
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Give a simple mathematical model for a neuron.
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What is clustering?
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Define Universal Networking Knowledge.
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What is semantic analysis?
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PART - B
What are the characteristics of a problem? What are constraint satisfaction problem? How can you formulate them as search problem?
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What is heuristic search? Explain in detail about iterative deepening A* algorithm? Is iterative deepening search optimal?
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How facts are represented using prepositional logic? give an example.
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Consider the following facts:
- Steve only likes easy courses.
- Science courses are hard
- All the courses in the HaveFun department are easy
- BK301 is a HaveFun department course
Use resolution to answer the question “What course would steve like”?
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Define knowledge base. What are the different approaches to represent knowledge in Knowledge base?
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How semantic networks are used to represent the knowledge? Explain with an example.
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With an architectural diagram explain how expert system works.
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How to handle uncertain knowledge? What are the ways in which one can understand the semantics of a belief network?
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Define machine learning? Discuss the various types of machine learning with appropriate examples?
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Explain multilayer feed forward neural networks with an algorithm.
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What is case Grammar?
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Explain semantic web search with an example.
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Describe simple top down parsing algorithm?
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Draw the parse tree for the sentence “John hit the ball”.
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