'Optimal solution path' diaporamas de présentation

CS B551: Element sof Artificial Intelligence

CS B551: Element sof Artificial Intelligence. Instructor: Kris Hauser http://cs.indiana.edu/~hauserk. Recap. Blind Search Breadth first (complete, optimal) Depth first (incomplete, not optimal) Iterative deepening (complete, optimal ) Nonuniform costs Revisited states.

955 views • 83 slides

CS B351 : Intro to Artificial Intelligence

CS B351 : Intro to Artificial Intelligence. Instructor: Kris Hauser http://cs.indiana.edu/~hauserk. Recap. Blind Search Breadth first (complete, optimal) Depth first (incomplete, not optimal) Iterative deepening (complete, optimal ) Nonuniform costs Revisited states.

975 views • 83 slides

Heuristic Search

4 Heuristic Search 4.0 Introduction 4.1 An Algorithm for Heuristic Search 4.2 Admissibility, Monotonicity, and Informedness 4.3 Using Heuristics in Games 4.4 Complexity Issues 4.5 Epilogue and References 4.6 Exercises Additional references for the slides:

1.42k views • 78 slides

Informed search algorithms

Informed search algorithms. Chapter 4 Slides derived in part from www.cs.berkeley.edu/~russell/slides/chapter04a.pdf, converted to powerpoint by Min-Yen Kan, National University of Singapore,

583 views • 44 slides

CMSC 671 Fall 2005

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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

Artificial Intelligence Lecture No. 8

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Iterative Deepening and Branch & Bound

550 views • 34 slides

Iterative Deepening and Branch & Bound

349 views • 34 slides

Iterative Deepening

485 views • 25 slides

Tips For Cracking Situational Interview Questions

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119 views • 7 slides