'Queens problem' diaporamas de présentation

Composition of Solutions for the n+k Queens Separation Problem

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The next RP deliverable

The next RP deliverable. 20. Review: Generate and Test Paradigm. Propose possible solutions then test whether each proposal constitutes a solution Will illustrate with n-Queens problem. n-Queens Problem. n-Queens are to be placed on an n x n board

742 views • 61 slides

Implementing a Task Decomposition

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Systematic Search Guided by Local Search with Conflict-based Heuristic in N-queen problem

Systematic Search Guided by Local Search with Conflict-based Heuristic in N-queen problem. Hyoung rae Kim Debasis Mitra Ph.D. Florida Institute of Technology Department of Computer Science. Contents. Introduction Proposed method Implementation design Experiments and analysis Related work

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The N-Queens Problem

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Recursion

Recursion. When to use it and when not to use it. Basics of Recursion. Recursion uses a method Within that method a call is made to the same method Somewhere within the method, the loop must be exited. Disadvantages. 3 major disadvantages Slow algorithms e.g. recursive Fibonacci:

444 views • 29 slides

4. Using Structures: Example Programs

4. Using Structures: Example Programs. Contents. Retrieving structured information from a database Doing data abstraction Simulating a non-deterministic automaton Travel planning The eight queens problem. Retrieving Structured Information from a DB.

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Search

Search The N-Queens Problem Most slides from Milos Hauskrecht N-queens problem Find a configuration of n queens not attacking each other What is the maximum number of queens that can be placed on an n x n chessboard such that no two attack one another?

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Formal Description of a Problem

Formal Description of a Problem In AI, we will formally define a problem as a space of all possible configurations where each configuration is called a state thus, we use the term state space an initial state one or more goal states

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Backtrack search algorithm

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Will Androids Dream of Electric Sheep? A Glimpse of Current and Future Developments in Artificial Intelligence

Will Androids Dream of Electric Sheep? A Glimpse of Current and Future Developments in Artificial Intelligence. Henry Kautz Computer Science & Engineering University of Washington. What is Artificial Intelligence?.

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Two types of search problems

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Backtracking and Games

Backtracking and Games. Eric Roberts CS 106B January 28, 2013. Searching in a Branching Structure.

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Local search algorithms

342 views • 16 slides

Backtracking & Branch and Bound

Backtracking & Branch and Bound. Busby, Dodge, Fleming, and Negrusa. Backtracking Algorithm. Is used to solve problems for which a sequence of objects is to be selected from a set such that the sequence satisfies some constraint Traverses the state space using a depth-first search with pruning.

1.13k views • 15 slides

Local search algorithms

374 views • 15 slides

Artificial Intelligence Chapter 11 Alternative Search Formulations and Applications

Artificial Intelligence Chapter 11 Alternative Search Formulations and Applications. Biointelligence Lab School of Computer Sci. & Eng. Seoul National University. Outline. Assignment Problems Constraint Propagation Constructive Methods Heuristic Repair Function Optimization.

208 views • 11 slides

Chapter 6

Chapter 6. Recursion as a Problem-Solving Technique. Backtracking. Backtracking A strategy for guessing at a solution and backing up when an impasse is reached Recursion and backtracking can be combined to solve problems. The Eight Queens Problem. Problem

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N-queens problem

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Maintaining Arc Consistency

Maintaining Arc Consistency. We have a constraint graph G of variables X 1 ,...X n, and constraint relations {X i ? X j}, and each Xi has a value set V (X i ). An arc from Xi to Xj is consistent if ?v ? V (X i ) ?w ? V (X j ) ? v,w is consistent

255 views • 3 slides