'Admissible heuristic' diaporamas de présentation

Informed Search

Informed Search. Uninformed searches easy but very inefficient in most cases of huge search tree Informed searches uses problem-specific information to reduce the search tree into a small one resolve time and memory complexities. Informed (Heuristic) Search. Best-first search

851 views • 64 slides

CMSC 671 Fall 2005

372 views • 37 slides

Informed Search

CMSC 471. Informed Search. Chapter 4. Adapted from slides by Tim Finin and Marie desJardins. Some material adopted from notes by Charles R. Dyer, University of Wisconsin-Madison. Outline. Heuristic search Best-first search Greedy search Beam search A, A* Examples

387 views • 37 slides

CMSC 671 Fall 2003

444 views • 34 slides

Heuristic Search

455 views • 30 slides

Heuristics

322 views • 28 slides

CS 416 Artificial Intelligence

536 views • 27 slides

Graphs II

Graphs II. Robin Burke GAM 376. Admin. Skip the Lua topic. Graph search. Problem is there a path from v to w? what is the shortest / best path? optimality what is a plausible path that I can compute quickly? bounded rationality. General search algorithm. Start with

278 views • 27 slides

Informed Search Chapter 4 (a)

404 views • 25 slides

Informed Search Chapter 4 (a)

254 views • 25 slides

Midterm Review

Midterm Review. Tuesday, March 26 Cheat sheet Calculator. Types of Questions . T or F Short answers Homework questions (frontier, explored set, ..). Environment Types. Homework 2. Uninformed Search Strategies.

134 views • 13 slides

Admissible heuristics

Admissible heuristics. A heuristic h(n) is admissible if for every node n , h(n) ? h * (n), where h * (n) is the true cost to reach the goal state from n . An admissible heuristic never overestimates the cost to reach the goal, i.e., it is optimistic

577 views • 3 slides