'Admissible heuristics' diaporamas de présentation

CS 4700: Foundations of Artificial Intelligence

CS 4700: Foundations of Artificial Intelligence. Bart Selman selman@cs.cornell.edu Module: Informed Search Readings R&N - Chapter 3: 3.5 and 3.6. Search. Search strategies determined by choice of node (in queue) to expand Uninformed search: Distance to goal not taken into account

819 views • 70 slides

499 views • 49 slides

Chapter 4: Informed search & exploratIon

Chapter 4: Informed search & exploratIon. Prepared by : Ece UYKUR. Outline. Evaluation of Search Strategies Informed Search Strategies Best-first search Greedy best-first search A * search Admissible Heuristics Memory - Bounded Search Iterative - Deepening A* Search

786 views • 48 slides

CE 473: Artificial Intelligence Autumn 2011

CE 473: Artificial Intelligence Autumn 2011. A* Search. Luke Zettlemoyer Based on slides from Dan Klein Multiple slides from Stuart Russell or Andrew Moore. Today. A* Search Heuristic Design Graph search. Recap: Search. Search problem: States (configurations of the world)

383 views • 38 slides

Informed search strategies

954 views • 36 slides

Announcements

Announcements. This Friday Project 1 due Talk by Jeniya Tabassum. TweeTIME : A Minimally Supervised Method for Recognizing and Normalizing Time Expressions in Twitter. Recap: Search. Search problem: States (configurations of the world) Actions and costs Successor function (world dynamics)

322 views • 32 slides

Heuristic Search

401 views • 28 slides

271 views • 17 slides

Informed State Space Search

Informed State Space Search. Department of Computer Science & Engineering Indian Institute of Technology Kharagpur. The notion of heuristics. Heuristics use domain specific knowledge to estimate the quality or potential of partial solutions Examples: Manhattan distance heuristic for 8 puzzle

279 views • 14 slides

Informed State Space Search

Informed State Space Search. Department of Computer Science & Engineering Indian Institute of Technology Kharagpur. The notion of heuristics. Heuristics use domain specific knowledge to estimate the quality or potential of partial solutions Examples: Manhattan distance heuristic for 8 puzzle

160 views • 14 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