'Constraint satisfaction problem' diaporamas de présentation

CS 541: Artificial Intelligence

CS 541: Artificial Intelligence. Lecture IV: Logic Agent and First Order Logic. Announcement. CA Office Hour: 3:00pm-4:00pm, Lieb 319. Homework assignment should be checked at Moodle. Schedule. Re-cap Lecture III. Constraint Satisfaction Problem

1.12k views • 97 slides

CS 541: Artificial Intelligence

CS 541: Artificial Intelligence. Lecture IV: Logic Agent and First Order Logic. Announcement. CA Office Hour: 3:00pm-4:00pm, Lieb 319. Homework assignment should be checked at Moodle. Schedule. Re-cap Lecture III. Constraint Satisfaction Problem

1.12k views • 96 slides

CS 541: Artificial Intelligence

CS 541: Artificial Intelligence. Lecture IV: Logic Agent and First Order Logic. Schedule. TA: Vishakha Sharma Email Address : vsharma1@stevens.edu. Re-cap Lecture III. Constraint Satisfaction Problem Constraint satisfaction problem (CSP) examples Backtracking search for CSPs

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On the Unique Games Conjecture

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On the Unique Games Conjecture

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Constraint Satisfaction

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Finite Domains

Finite Domains. In most problems, and notwithstanding the theoretical and practical interest in SAT, problems are more naturally specified with variables whose domain is not restricted to 0/1 values, but may take a finite set of values (in SICStus, they must be integers).

813 views • 69 slides

Finite Domains

Finite Domains. In most problems, and notwithstanding the theoretical and practical interest in SAT, problems are more naturally specified with variables whose domain is not restricted to 0/1 values, but may take a finite set of values (in SICStus, they must be integers).

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DCS Lecture how to solve it

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I am Patrick Prosser I am a senior lecturer at Glasgow I teach AF2 & CP4 I am a member of

(baby) Bio. I am Patrick Prosser I am a senior lecturer at Glasgow I teach AF2 & CP4 I am a member of the algorithms group the apes (distributed, not disbanded) I am a Glaswegian. This is all that I am allowed to tell you. 10 years of conflict-directed backjumping.

756 views • 67 slides

CSCE496/896, Fall 2011 cse.unl/~choueiry/F11-496-896 Questions : cse496cp@cse.unl

Constraint Satisfaction 101. CSCE496/896, Fall 2011 www.cse.unl.edu/~choueiry/F11-496-896 Questions : cse496cp@cse.unl.edu Broadcast : cse496cp-ml@cse.unl.edu Berthe Y. Choueiry (Shu-we-ri) AVH 360. Outline. Motivating example, application areas CSP: Definition, representation

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Foundations of Constraint Processing CSCE421/821, Spring 2009:

Foundations of Constraint Processing CSCE421/821, Spring 2009: www.cse.unl.edu/~choueiry/S09-421-821/ Berthe Y. Choueiry (Shu-we-ri) Avery Hall, Room 360 choueiry@cse.unl.edu Tel: +1(402)472-5444. Intelligent Backtracking Algorithms. Reading. Required reading

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CompAPO : A complete version of the APO Algorithm

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Constraint Satisfaction Problems: Formulation, Arc Consistency & Propagation

Constraint Satisfaction Problems: Formulation, Arc Consistency & Propagation. Brian C. Williams 16.410-13 October 13 th , 2004. Slides adapted from: 6.034 Tomas Lozano Perez and AIMA Stuart Russell & Peter Norvig. 1. Reading Assignments: Constraints. Readings:

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I am Patrick Prosser I am a senior lecturer at Glasgow I teach algorithms & data structures in java I am a membe

I am Patrick Prosser I am a senior lecturer at Glasgow I teach algorithms & data structures in java I am a member of the algorithms group the apes (distributed, not disbanded) I am a Glaswegian. This is all that I am allowed to tell you. Patrick Prosser.

363 views • 25 slides

I am Patrick Prosser I am a senior lecturer at Glasgow

I am Patrick Prosser I am a senior lecturer at Glasgow I teach algorithms & data structures in java I am a member of the algorithms group the apes (distributed, not disbanded) I am a Glaswegian. This is all that I am allowed to tell you. Patrick Prosser.

375 views • 25 slides

Integrating CSP Decomposition Techniques and BDDs for Compiling Configuration Problems

Integrating CSP Decomposition Techniques and BDDs for Compiling Configuration Problems. Sathiamoorthy Subbarayan IT University of Copenhagen Denmark CP-AI-OR 2005. Configuration. An arrangement of parts Valid Configuration- a valid arrangement Valid according to some specified rules

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State-Space Representation

State-Space Representation. Read Chapter 3. Searches you use. MapQuest road maps Google documents CiteSeer research documents. Abstract Model. Initial State Operators: maps a state into a next state alternative: successors of state Goal Predicate: test to see if goal achieved

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CSC 423 ARTIFICIAL INTELLIGENCE

CSC 423 ARTIFICIAL INTELLIGENCE. Constraint Satisfaction Problems.

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R.J. Woodward , S. Karakashian, B.Y. Choueiry & C. Bessiere

Reformulating the Dual Graphs of CSPs to Improve the Performance of RNIC. R.J. Woodward , S. Karakashian, B.Y. Choueiry & C. Bessiere Constraint Systems Laboratory, University of Nebraska-Lincoln LIRMM-CNRS, University of Montpellier. Acknowledgements

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