'Search problems' diaporamas de présentation

Security and Cryptography

Security and Cryptography. Portions stolen from Prof. Sahai (spring 2001). December 4, 2001. Administrivia. Homework assignment 7 due today Homework Assignment 8 due January 7,2002 Homework 9 Part a due next Tuesday Part b due next Thursday Part c due next Friday Lab 8 this week

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Lirong Xia

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Adversarial Search

520 views • 51 slides

The Halting Problem

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CS 188: Artificial Intelligence Spring 2007

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CS 188: Artificial Intelligence Spring 2007

590 views • 42 slides

CS 480 ARTIFICIAL INTELLIGENCE

CS 480 ARTIFICIAL INTELLIGENCE. Instructor: B. Ravikumar Computer Science Department 116 I Darwin Hall Class meets: Fridays 9 to 12. Course details. Catalog Description:

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NP-Complete Problems

NP-Complete Problems. CSC 331 : Algorithm Analysis. NP-Complete Problems. Search Problems. In past problems, we were searching for a solution from among an exponential population of possibilities. A graph with n vertices has n n-2 spanning trees.

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CS 8520: Artificial Intelligence

CS 8520: Artificial Intelligence. Solving Problems by Searching Paula Matuszek Spring, 2010. Slides based on Hwee Tou Ng, aima.eecs.berkeley.edu/slides-ppt, which are in turn based on Russell, aima.eecs.berkeley.edu/slides-pdf. Diagrams are based on AIMA.

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CSC 412: AI Adversarial Search

CSC 412: AI Adversarial Search. Bikramjit Banerjee Partly based on material available from the internet. Game search problems. Search problems Only problem solver actions can change the state of the environment Game search problems

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Review of search strategies Decisions in games Minimax algorithm ? - ? algorithm

?????? for Decisions in Games. Review of search strategies Decisions in games Minimax algorithm ? - ? algorithm Tic-Tac-Toe game. Frequent Asked Questions (FAQ) site: http://faqs.jmas.co.jp/FAQs/ai-faq/general/part1. 8-puzzle problem. The 8-puzzle. 5. 4. 1. 2. 3. 6. 1. 8. 8.

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Adversarial Search

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3.0 State Space Representation of Problems

3.0 State Space Representation of Problems. 3.1 Graphs 3.2 Formulating Search Problems 3.3 The 8-Puzzle as an example 3.4 State Space Representation using graphs 3.5 Performing a State Space Search 3.6 Basic Depth First Search (DFS) 3.7 Basic Breadth First Search (DFS)

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Depth Increment in IDA*

Depth Increment in IDA*. Ling Zhao Dept. of Computing Science University of Alberta July 4, 2003. Outline. Introduction Examples Modifications on IDA* Analytical Model Experimental results Work to do Conclusions. Introduction.

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CMSCB3004 Systems, Cybernetics and Management

CMSCB3004 Systems, Cybernetics and Management. Hard Systems Thinking. Development of the Hard Systems Approach. Defining the approach Assumes the managers task is to solve clearly defined problems Assumes a hard scientific/engineering basis

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Genetic and Evolutionary Algorithms

Genetic and Evolutionary Algorithms. Kevin Brown -Data Mining Methods-. Presentation Outline. Discuss Evolutionary Algorithms Brief History of Genetic Algorithms Discuss Genetic Algorithms and its Process View Pseudo-code View Sources Q and A. Evolutionary Algorithms.

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CS482/682 Artificial Intelligence

Computer Science & Engineering, University of Nevada, Reno. CS482/682 Artificial Intelligence. Lecture 8: Constraint Satisfaction Problems and Logic-based Inference. 17 September 2009 Instructor: Kostas Bekris. Search-based Problems. Search Problems

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Human Computer Information Retrieval HCIR

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P, NP, and Exponential Problems

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Backtracking, Search, Heuristics

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