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- Recap / Exam Questions
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Classroom Contents
Problem Solving and Search in Artificial Intelligence - Lecture 3
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- 1 - Problem Solving Agents
- 2 - Example Problem
- 3 - Goal Formulation
- 4 - Problem Definition
- 5 - Paths and Costs
- 6 - Example Graph Problem
- 7 - What is Search?
- 8 - The Search Tree
- 9 - Sliding Tile Puzzle
- 10 - Which Node to Expand?
- 11 - Search Node Data
- 12 - Node vs State
- 13 - The Fringe Open List
- 14 - General Uninformed Tree Search
- 15 - Expand Function
- 16 - Problem Solving Performance
- 17 - Recap / Exam Questions
- 18 - Search Strategies
- 19 - Breadth-First Search BFS
- 20 - Uniform Cost Search UCS
- 21 - Depth-First Search DFS
- 22 - Depth-Limited Search DLS
- 23 - Iterative Deepening Depth-First Search ID-DFS
- 24 - Recap of Performance
- 25 - Avoiding Repeated States Closed List
- 26 - General Graph Search with Closed List
- 27 - Assignment 1 Algorithm Pseudocode
- 28 - "Tree Search" vs "Graph Search"
