Artificial Intelligence
6IT4-05 · Semester 6
0/44 topics
Objective
Scope
Outcome
Different approaches of AI
Intelligent agents
Solving problems by searching
Uninformed search
Breadth-First Search (BFS)
Depth-First Search (DFS)
Iterative deepening search
Bidirectional search
Hill climbing search
Informed search techniques
Heuristic functions
Greedy best-first search
A* search algorithm
AO* search algorithm
Constraint satisfaction problems
Minimax algorithm
Alpha-beta pruning
Water jug problem
Eight queens problem
8-puzzle problem
Building a knowledge base
Propositional logic
First-order logic
Situation calculus
Theorem proving in First-Order Logic
Planning
Partial order planning
Uncertain knowledge
Uncertain reasoning
Probabilities
Bayesian Networks
Overview of learning forms
Supervised learning
Decision trees learning
Support Vector Machines (SVM)
Unsupervised learning
Market Basket Analysis
Neural networks
Issues in Natural Language Processing (NLP)
Expert systems
Robotics