AD3311 Artificial Intelligence Laboratory Syllabus:

AD3311 Artificial Intelligence Laboratory Syllabus – Anna University Regulation 2021

COURSE OBJECTIVES:

• To design and implement search strategies
• To implement game playing techniques
• To implement CSP techniques
• To develop systems with logical reasoning
• To develop systems with probabilistic reasoning

LIST OF EXPERIMENTS:

1. Implement basic search strategies – 8-Puzzle, 8 – Queens problem, Cryptarithmetic.
2. Implement A* and memory bounded A* algorithms
3. Implement Minimax algorithm for game playing (Alpha-Beta pruning)
4. Solve constraint satisfaction problems
5. Implement propositional model checking algorithms
6. Implement forward chaining, backward chaining, and resolution strategies
7. Build naïve Bayes models
8. Implement Bayesian networks and perform inferences
9. Mini-Project

TOTAL: 45 PERIODS

COURSE OUTCOMES:

At the end of this course, the students will be able to:
CO1: Design and implement search strategies
CO2: Implement game playing and CSP techniques
CO3: Develop logical reasoning systems
CO4: Develop probabilistic reasoning systems

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