'Return general search problem' presentation slideshows

G5 AIAI Introduction to AI

G5 AIAI Introduction to AI. Blind Searching. Graham Kendall. Problem Definition - 1. Initial State The initial state of the problem, defined in some suitable manner Operator A set of actions that moves the problem from one state to another. Problem Definition - 1.

638 views • 53 slides

G5BAIM Artificial Intelligence Methods

G5BAIM Artificial Intelligence Methods. Blind Searches. Graham Kendall. Blind Searches - Characteristics. Simply searches the State Space Can only distinguish between a goal state and a non-goal state Sometimes called an uninformed search as it has no knowledge about its domain.

449 views • 29 slides

G5BAIM Artificial Intelligence Methods

G5BAIM Artificial Intelligence Methods. Blind Searches. Graham Kendall. Blind Searches - Characteristics. Simply searches the State Space Can only distinguish between a goal state and a non-goal state Sometimes called an uninformed search as it has no knowledge about its domain.

293 views • 29 slides

Depth-First Searches

Depth-First Searches. Introduction to AI. Depth-First Search. Depth first search explores one branch of a tree before it starts to explore another branch. It can be implemented by adding newly expanded nodes at the front of the queue.

51 views • 4 slides

Depth-First Searches

49 views • 4 slides

Breadth-First Searches

Breadth-First Searches. Introduction to AI. Breadth-First Search. Using a breadth-first strategy we expand the root level first and then we expand all those nodes (i.e. those at level 1) before we expand any nodes at level 2.

50 views • 4 slides

Depth-First Searches

Depth-First Searches. Introduction to AI. Depth-First Search. Depth first search explores one branch of a tree before it starts to explore another branch. It can be implemented by adding newly expanded nodes at the front of the queue.

46 views • 4 slides

Breadth-First Searches

45 views • 4 slides