'First search example' diaporamas de présentation

Graph Search Methods

2. 3. 8. 1. 4. 5. 9. 10. 6. 7. 11. Graph Search Methods. A vertex u is reachable from vertex v iff there is a path from v to u . 2. 3. 8. 1. 4. 5. 9. 10. 6. 7. 11. Graph Search Methods.

621 views • 49 slides

Informed search algorithms

Informed search algorithms. Chapter 4. Outline. Best-first search Greedy best-first search A * search Heuristics Local search algorithms Hill-climbing search Simulated annealing search Local beam search Genetic algorithms. Best-first search.

835 views • 43 slides

Informed search algorithms

Informed search algorithms. Chapter 4. Material. Chapter 4 Section 1 - 3 Exclude memory-bounded heuristic search . Outline. Best-first search Greedy best-first search A * search Heuristics Local search algorithms Hill-climbing search Simulated annealing search Local beam search

680 views • 41 slides

Informed Search

487 views • 31 slides

Informed Search Algorithms

Informed Search Algorithms. Chapter 4. Outline. Best-first search Greedy best-first search A * search Heuristics. Review: Tree search. Basic idea: offline, simulated exploration of state space by generating successors of already-explored states ( a.k.a.~ expanding states)

481 views • 30 slides

Discussion on Greedy Search and A*

Discussion on Greedy Search and A*. Best-first search. Idea: use an evaluation function f(n) for each node estimate of "desirability" Expand most desirable unexpanded node Implementation : Order the nodes in fringe in decreasing order of desirability Special cases:

405 views • 24 slides

Formal Description of a Problem

Formal Description of a Problem In AI, we will formally define a problem as a space of all possible configurations where each configuration is called a state thus, we use the term state space an initial state one or more goal states

966 views • 22 slides

Constraint Satisfaction Problems (CSPs)

Constraint Satisfaction Problems (CSPs). Set of variables V i that can take on values from their Domains D i (discrete / continuous) Goal test specifies constraints on variables unary (on a particular variable) e.g. left-most digit in crypt arithmetic is 0

462 views • 5 slides