2080
Bsc CSIT / Semester 4 / Science
Computer Science and Information Technology
Artificial Intelligence
Full Marks: 60 + 20 + 20
Pass Marks: 24 + 8 + 8
Time: 3 Hours
Candidates are required to give their answers in their own words as far as practicable.
The figures in the margin indicate full marks.
Attempt any TWO question.
Define state space graph. Differentiate between A* search and greedy best first search.
What do you mean by unification and lifting? Convert following sentences into FOPL:
Sushma likes all kinds of practical courses.
AI and DBMS are practical courses.
Any subject anyone practices is a practical course.
Ruby practices PHP.
Rita practices everything that Ruby practices.
Using resolution, check whether “Sushma likes PHP” is inferred or not.
Differentiate supervised learning from unsupervised learning. Discuss how Naïve Bayes Model can be used for machine learning. Support your answer with example.
Attempt any EIGHT question.
How can you define AI from the dimension of behavioural process? When a machine is said to pass Turing Test?
What is an agent ? How utility agent works? Give an example of utility agent.
What is game search? How Min-Max search is used in game playing? Illustrate with an example.
What is semantic network? Given following knowledge base, represent it using semantic network:
Subash is a student. All students are person. Person has hair. Ram is a player. All player play game. Game is a physical action. Height of all players is larger than the height of all students. Physical action starts from 7:00 AM and ends at 9:00 AM.
Discuss how genetic algorithm works.
Using your own assumptions, design PEAS framework for the following intelligent agents:
a. Medicine delivery drone
b. Covid medicine prescriber.
What is machine vision? Describe the components of machine vision.
How natural language generation differs from natural language understanding? How morphological analysis is done in NLP?
What is constraint satisfaction problem? Illustrate graph coloring problem as constraint satisfaction problem.
*** END OF QUESTION PAPER ***
State Space Graph and Search Strategies 1. Definition: State Space Graph A state space graph is a graphical representation of all possible states of a problem along with the transitions (actions) bet
1. Unification and Lifting Unification - Process to make two logical expressions identical by finding a substitution for variables. - Example: Likes(Sushma, X) and Likes(Sushma, PHP) Substitution
Supervised vs Unsupervised Learning and Naïve Bayes 1. Supervised Learning - Definition: Learning from a labeled dataset, where the input-output mapping is known. - Goal: Predict output (label) for
AI from the Dimension of Behavioural Process From the behavioral process perspective, AI is defined by how a machine behaves, not by how it thinks internally. - A machine is considered intelligent i
Agent and Utility Agent in AI 1. What is an Agent? - An agent is an entity that perceives its environment through sensors and acts upon it using actuators to achieve goals. - Components: - Sens
And more questions available on this page.