'Arc costs' diaporamas de présentation

1.27k views • 101 slides

CS B551 : Elements of Artificial Intelligence

CS B551 : Elements of Artificial Intelligence. Instructor: Kris Hauser http://cs.indiana.edu/~hauserk. Agenda. Searching, data structures, and algorithms Breadth-first search Depth-first search Uniform-cost search. Defining a Search Problem. S. State space S

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Search

Search. Instructor: Kris Hauser http://cs.indiana.edu/~hauserk. Recap. http:// www.cs.indiana.edu/classes/b351 Brief history and philosophy of AI What is intelligence? Can a machine act/think intelligently? Turing machine, Chinese room. Agenda. Problem Solving using Search

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Shortest Paths

Shortest Paths. CONTENTS Introduction to Shortest Paths (Section 4.1) Applications of Shortest Paths (Section 4.2) Optimality Conditions (Section 5.2) Generic Label-Correcting Algorithm (Section 5.3) Specific Implementations (Section 5.4) Detecting Negative Cycles (Section 5.5)

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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

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Network Optimization

Network Optimization. Network optimization models:. Special cases of linear programming models. Important to identify problems that can be modeled as networks because:. (1). network representations make optimization. models easier to visualize and explain. (2).

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Search with C o sts and Heuristic Search

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Search with C o sts and Heuristic Search

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Heuristic S earch: A*

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