JNTUK M.Tech R19 2020 Model Question Papers || JNTU kakinada (All Branches)
I M. Tech I Semester (R19) Regular Examinations
[M19 IT 1103]
--- Content provided by FirstRanker.com ---
ARTIFICIAL INTELLIGENCE
Information Technology
MODEL QUESTION PAPER
TIME: 3 Hrs. Max. Marks: 75
--- Content provided by FirstRanker.com ---
Answer ONE Question from EACH UNIT
All questions carry equal marks
| CO | KL | M | ||
|---|---|---|---|---|
| UNIT -1 | ||||
| 1. a). | Construct the state space graph model for vehicle not starting problem | 1 | 4 | |
| b). | Apply heuristic search algorithm to find the water jug problem | 1 | 3 | 8 |
| OR | ||||
| 2. a). | Apply problem reduction strategy for problem solving | 1 | 3 | 8 |
| b). | Explain the various problem characteristics of AI | 1 | 2 | 7 |
| UNIT - II | ||||
| 3. a). | Solve the given propositional calculus expressions are equivalent or not (P->Q->R) AND (P->Q " Q->R) | 2 | 3 | 9 |
| b). | Analyze the given expression is tautology (P ? Q ? R) V ~P | 2 | 4 | 6 |
| OR | ||||
| 4. a). | Illustrate the unification algorithm with example | 2 | 2 | 6 |
| b). | Apply resolution refutation in proportional logic for checking the equivalence of expressions | 2 | 3 | 9 |
| UNIT - III | ||||
| 5. a). | Construct semantic network for the mobile device | 3 | 4 | 7 |
| b). | Construct the script for patient visiting the hospital | 3 | 4 | 8 |
| OR | ||||
| 6. a). | Draw & explain the components of Expert system architecture | 3 | 2 | 7 |
| b). | Build a rule based expert system for criminal identification. | 3 | 3 | 8 |
| UNIT - IV | ||||
| 7. a). | Design Bayesian belief network for classification using rain prediction data set | 4 | 4 | 6 |
| b). | How can we use the Dempster-Shafer theory for prediction? | 4 | 3 | 9 |
| OR | ||||
| 8. a). | Identify the operations performed on fuzzy set | 4 | 3 | 7 |
| b). | Write about different types of membership functions | 4 | 2 | 8 |
| UNIT -V | ||||
| 9. a). | How the support vector machines can be used in machine learning? | 5 | 3 | 9 |
| b). | Differentiate the supervised & unsupervised learning | 5 | 3 | 6 |
| OR | ||||
| 10. a). | Design a Perceptron for EX-OR gate logic | 5 | 4 | 8 |
| b). | Draw the structure of multi layered forward networks | 5 | 2 | 7 |
--- Content provided by FirstRanker.com ---
This download link is referred from the post: JNTUK M.Tech R19 2020 Model Question Papers || JNTU kakinada (All Branches)