Subject question bank

Artificial Intelligence Questions for Exams

Prepare for semester exams using important questions, numericals, viva questions and unit-wise questions.

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Open Artificial Intelligence for your university, course and semester

U1 Introduction to Artificial Intelligence U2 Introduction to Search U3 Knowledge Representation & Reasoning U4 Machine Learning U5 Pattern Recognition
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Unit-wise questions

Unit 1

Introduction to Artificial Intelligence

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  1. What do you mean by artificial Intelligence? Explain. How it is different than general intelligence?
  2. Write the difference between Artificial intelligence general intelligence.
  3. Write the different branch of Artificial Intelligence.
  4. Write the short note on foundation of artificial intelligence.
  5. What did the main contribution of John McCarthy for the establishment of artificial intelligence as a new discipline?
  6. Define Turing Test. Is Turing test sufficient to define the operational definition of artificial intelligence?
  7. Prepare a short note highlighting the landmark incidences that were reponsible for the emergence of artificial intelligence as a new discipline.
  8. Describe the role of machine intelligence in human life.
Unit 2

Introduction to Search

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  1. What do yo mean by search process? Write the different parameters used to evaluate a search technique.
  2. What do you mean by uninformed search and informed search? Explain.
  3. Write a difference between informed search and uninformed search techniques.
  4. Explain Breadth-first search technique.
  5. Explain Depth-first search technique.
  6. Write the difference between Breadth-first search and Depth-first search technique.
  7. What is production system? Explain the various types of production system.
  8. What do you mean by heuristic search? Give the property of heuristic search algorithm.
Unit 3

Knowledge Representation & Reasoning

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  1. Briefly describe the meaning of knowledge representation and knowledge acquisition . What procedure is followed for knowledge acquisition? Explain.
  2. Write a property and approaches of a knowledge representation scheme.
  3. Define the term logic. Explain its types also.
  4. Prove that following sentence is valid: ” If price fall then sell increases. If sell increases then Jhon makes the whole money. But John doesn’t make the whole money. Therefore , price do not fall”.
  5. Explain inference rules with example.
  6. Consider the argument ,” All dogs bark. Some animals are dogs. Therefore, some animals bark”. Determine whether the conclusion is a valid consequence of the premises.
  7. Translate the following sentence into formulas in predicate logic and clause form: a). John likes all kind of food. b). Apples are food. c). Chicken is food. d). Anything any one eats and is not killed by is food. e). Bill eats peanuts and is still alive. f). Sue eats everything Bill eats.
  8. Determine whether the following argument is valid .”if I work whole night on this problem ,then I can solve it. If I solve the problem, then I will understand the topic. therefore , I will work whole night on this problem, then I will understand the topic.”
Unit 4

Machine Learning

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  1. What do you mean by learning? Explain the important components of learning.
  2. Explain supervised and unsupervised learning.
  3. Write a difference between supervised and unsupervised learning.
  4. Illustrate decision tree learning technique using a suitable example.
  5. Describe the statistical learning model in detail.
  6. Explain the following term: a). Maximum a posteriori(MAP) b). Maximum-likelihood hypothesis
  7. Write a note on naive Bayes model.
  8. Determine whether the Describe a learning technique that is used to handle the problem of hidden variable.
Unit 5

Pattern Recognition

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  1. Write a short note on pattern recognition. Also write the process of pattern recognition.
  2. Write the various steps of designing pattern recognition system.
  3. Explain statistical pattern recognition.
  4. Define the term pattern matching.
  5. Write short note on Principle Component Analysis(PCA).
  6. Write a short note on Linear Discriminant Analysis (LDA).
  7. Explain that how PCA is used in pattern recognition.
  8. Write a short note on parametric estimation.