B.E Artificial Intelligence and Machine Learning Artificial Intelligence Lab Syllabus - Mumbai University

Module 1: Provide the PEAS description and TASK Environment for a given AI problem.

Module 2: Identify suitable Agent Architecture for the problem

Module 3: Write simple programs using PROLOG as an AI programming Language

Module 4: Implement any one of the Uninformed search techniques

Module 5: Implement any one of the Informed search techniques E.g. A-Star algorithm for 8 puzzle problem

Module 6: Implement adversarial search using min-max algorithm.

Module 7: Implement any one of the Local Search techniques. E.g. Hill Climbing, Simulated Annealing, Genetic algorithm

Module 8

• Prove the goal sentence from the following set of statements in FOPL by applying forward, backward and resolution inference algorithms.

Module 9

• Create a Bayesian Network for the given Problem Statement and draw inferences from it. (You can use any Belief and Decision Networks Tool for modeling Bayesian Networks)

Module 10: Implement a Planning Agent

Module 11: Design a prototype of an expert system

Module 12: Case study of any existing successful AI system

Useful Links

• 1 An Introduction to Artificial Intelligence - Course (nptel.ac.in)
• 2 https://tinyurl.com/ai-for-everyone 3 https://ai.google/education/ 4 https://openai.com/research/