If the Turing test is passed, does this show that computer exhibit intelligence? Explain. Compare it with Reverse Turing test with an example.
TU IOE · CT 653
Artificial Intelligence
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Past questions by syllabus
Introduction
Definition of Artificial Intelligence
4 questions- 2081 BhadraChapter 1: Introduction1.1 Definition of Artificial Intelligence
- 2081 BaishakhChapter 1: Introduction1.1 Definition of Artificial Intelligence
Define intelligent agent. Explain the factors that are required to pass the Turing Test.
- 2080 BhadraChapter 1: Introduction1.1 Definition of Artificial Intelligence
Define Artificial Intelligence and Intelligent agent. Differentiate between different types of intelligent agent with examples.
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Applications of Artificial Intelligence
3 questions- 2082 BhadraChapter 1: Introduction1.5 Applications of Artificial IntelligenceClick to unlock premiumSee the full question with a premium plan
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Problem solving
Defining problems as a state space search
2 questions- 2082 BhadraChapter 2: Problem solving2.1 Defining problems as a state space search
In problem solving what is the concept of state space, state, successor function, goal test and path cost? Solve the following crypto arithmetic problem by showing all the steps. BASE + BALL = GAMES
- 2082 BaishakhChapter 2: Problem solving2.1 Defining problems as a state space search
Discuss the steps involved in problem solving. Solve the following crypto-arithmetic problem by stating all the necessary constraints. BASE + BALL = GAMES
Problem formulation
1 question- 2079 BhadraChapter 2: Problem solving2.2 Problem formulation
What are the steps of Problem solving? Assume you are given three empty jugs; a 3-gallon, a 5-gallon and a 9-gallon, and a pump can fill water only in 3-gallon jug. How you get exactly 7 gallons of water in the 9-gallon jug? Formalize the problems; write down production rules and draw search tree to solve this water Jug problem.
Problem types, Well- defined problems, Constraint satisfaction problem
4 questions- 2081 BhadraChapter 2: Problem solving2.3 Problem types, Well- defined problems, Constraint satisfaction problemClick to unlock premiumSee the full question with a premium plan
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Search techniques
Uninformed search techniques- depth first search, breadth first search, depth limit search, and search strategy comparison
2 questions- 2081 BhadraChapter 3: Search techniques3.1 Uninformed search techniques- depth first search, breadth first search, depth limit search, and search strategy comparison
Compare informed and uninformed search. Explain how the Simulated Annealing algorithm to overcome the demerits of hill climbing search.
- 2079 BhadraChapter 3: Search techniques3.1 Uninformed search techniques- depth first search, breadth first search, depth limit search, and search strategy comparison
Different between Depth first search and Breadth first search with their performance criteria.
Informed search techniques-hill climbing, best first search, greedy search, A* search Adversarial search techniques-minimax procedure, alpha beta procedure
7 questions- 2082 BhadraChapter 3: Search techniques3.2 Informed search techniques-hill climbing, best first search, greedy search, A* search Adversarial search techniques-minimax procedure, alpha beta procedure
Define the terms admissibility and optimality in the context of A* search. Under what conditions is A* guaranteed to be both admissible and optimal? Provide justification for your answer.
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Adversarial search techniques-minimax procedure, alpha beta procedure
1 question- 2082 BaishakhChapter 3: Search techniques3.3 Adversarial search techniques-minimax procedure, alpha beta procedureClick to unlock premiumSee the full question with a premium plan
Knowledge representation, inference and reasoning
Formal logic-connectives, truth tables, syntax, semantics, tautology, validity, well- formed-formula
1 question- 2082 BaishakhChapter 4: Knowledge representation, inference and reasoning4.1 Formal logic-connectives, truth tables, syntax, semantics, tautology, validity, well- formed-formula
What is knowledge-based agent? How does it work? Explain with examples.
Rules of inference, unification, resolution refutation system (RRS), answer extraction from RRS, rule based deduction system
8 questions- 2082 BhadraChapter 4: Knowledge representation, inference and reasoning4.3 Rules of inference, unification, resolution refutation system (RRS), answer extraction from RRS, rule based deduction system
b) Using given statement prove "Mr. A is a criminal" It is crime for a Nepali to sell weapons to enemy of Nepal. Mr. A is an enemy of Nepal. Mr. A has some missiles. Missiles are weapon. Mr. R is a Nepali. If Mr. A has missiles then those missiles were sold to Mr. A are by Mr. R.
- 2081 BhadraChapter 4: Knowledge representation, inference and reasoning4.3 Rules of inference, unification, resolution refutation system (RRS), answer extraction from RRS, rule based deduction system
Consider the following axioms: Every American who sells weapons to hostile nations is a criminal. Every enemy of America is a hostile. Nono has some missiles. All missiles of Nono were sold by Gorge. Gorge is an American. Nono is a Country. Nono is the enemy of America. Missiles are weapons. Prove that "Is Gorge a criminal?" using Resolution by Refutation.
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Statistical Reasoning-Probability and Bayes' theorem and causal networks, reasoning in belief network
6 questions- 2082 BhadraChapter 4: Knowledge representation, inference and reasoning4.4 Statistical Reasoning-Probability and Bayes' theorem and causal networks, reasoning in belief networkClick to unlock premiumSee the full question with a premium plan
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Structured knowledge representation
Approaches to Knowledge Representation
1 question- 2081 BaishakhChapter 5: Structured knowledge representation5.2 Approaches to Knowledge Representation
What are different methods for learning? Explain the steps involved in a genetic algorithm with a flowchart and justify why mutation is important. (approach reference)
Issues in Knowledge Representation
1 question- 2079 BhadraChapter 5: Structured knowledge representation5.3 Issues in Knowledge Representation
List the issues need to be consider in Knowledge Representation techniques. Convert given sentences into Semantic Network. a) Tom is a cat b) Tom fights with rat c) Tom is owned by Ram d) Tom is black in color. e) Cats like milk f) Rats like cheese g) The cat sat on the bed h) A cat is a mammal i) A Rat is an animal j) All mammals are animals k) Every mammal gives birth a baby
Semantic nets, frames
6 questions- 2082 BhadraChapter 5: Structured knowledge representation5.4 Semantic nets, frames
What are different issues in knowledge representation? Represent the following sentences using semantic net representation. Tom is a cat. Tom caught a bird. Tom is owned by Sudeep. Tom is ginger in color. Cats like cream. The cat sat on the mat. A cat is a mammal. A bird is an animal. All mammals are animals. Mammals have fur. Sudeep age is 20.
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Machine learning
Genetic algorithm
4 questions- 2082 BhadraChapter 6: Machine learning6.4 Genetic algorithm
Define fuzzy logic and explain how it differs from classical binary logic? Explain Genetic Algorithm with suitable example. (genetic algorithm portion)
- 2081 BhadraChapter 6: Machine learning6.4 Genetic algorithm
When do we use genetic Algorithm? Explain all steps in genetic algorithm with block diagram and operators.
- 2081 BaishakhChapter 6: Machine learning6.4 Genetic algorithm
What are different methods for learning? Explain the steps involved in a genetic algorithm with a flowchart and justify why mutation is important.
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Fuzzy learning
5 questions- 2082 BhadraChapter 6: Machine learning6.5 Fuzzy learningClick to unlock premiumSee the full question with a premium plan
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Applications of AI
Network structure
1 question- 2080 BhadraChapter 7: Applications of AI7.1.1 Network structure
Describe mathematical model of neural network. What does it means to train a neural network? Write an algorithm to its learning.
Perceptron
2 questions- 2081 BhadraChapter 7: Applications of AI7.1.3 Perceptron
Define Perception. Justify the statement "Perceptron can work was Linear Classifier" taking reference of Logic gates.
- 2081 BaishakhChapter 7: Applications of AI7.1.3 Perceptron
What is perception? Construct a Hebbian Network that performs like AND Gate.
Hopfield network
2 questions- 2082 BhadraChapter 7: Applications of AI7.1.5 Hopfield networkClick to unlock premiumSee the full question with a premium plan
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Kohonen network
2 questions- 2081 BhadraChapter 7: Applications of AI7.1.6 Kohonen networkClick to unlock premiumSee the full question with a premium plan
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Architecture of an expert system
2 questions- 2082 BaishakhChapter 7: Applications of AI7.2.1 Architecture of an expert systemClick to unlock premiumSee the full question with a premium plan
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Development of expert systems
4 questions- 2082 BhadraChapter 7: Applications of AI7.2.4 Development of expert systemsClick to unlock premiumSee the full question with a premium plan
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Levels of analysis: Phonetic, Syntactic, Semantic, Pragmatic
7 questions- 2082 BhadraChapter 7: Applications of AI7.3.1 Levels of analysis: Phonetic, Syntactic, Semantic, PragmaticClick to unlock premiumSee the full question with a premium plan
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Introduction to Machine Vision
4 questions- 2082 BhadraChapter 7: Applications of AI7.3.2 Introduction to Machine VisionClick to unlock premiumSee the full question with a premium plan
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