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Classroom Contents
Introduction to Artificial Intelligence: Problem Solving and Search - Lecture 3
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- 1 - Introduction
- 2 - Problem Solving Agents
- 3 - Example Scenario
- 4 - Goal Formulation
- 5 - Problem Formulation
- 6 - Solution / Path
- 7 - Example Graph Problem
- 8 - What is Search
- 9 - Search Tree / Procedure
- 10 - Node Data / Node vs State
- 11 - The Fringe open list
- 12 - General Uninformed Tree Search
- 13 - Node Expansion
- 14 - Problem Solving Performance / Complexity
- 15 - Search Strategies
- 16 - Breadth First Search BFS
- 17 - Uniform Cost Search UCS
- 18 - Depth First Search DFS
- 19 - Depth Limited Search DLS
- 20 - Iterative Deepening DFS IDDFS
- 21 - Comparing Algorithms
- 22 - Avoiding Repeated States
- 23 - Closed List / Graph Search
- 24 - Assignment 1 Pseudocode
- 25 - Tree Search vs Graph Search
- 26 - Recap / Exam Questions / Questions
