Selective Macro-learning for Solving the N N Puzzle Tait, P. G. (1880). Note on the theory of the \15 puzzle". Proceedings of the Royal Society

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I Comput Ng
O A Pderbrn
Center For C
Bernard Bauer Pc
Bernard Bauer

January 1994

The 15-puzzle is a popular workbench model for measuring the performance of heuristic search algori...

Learning problem solving strategies using refinement and macro generation

Güvenir H.A.
Ernst G.W.

January 1990

In this paper we propose a technique for learning efficient strategies for solving a certain class o...

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Richard B. Segal

January 1997

Machine Learning as Massive Search by Richard B. Segal Chairperson of Supervisory Committee: Associ...

Macro-operators generation in the 15-puzzle

Li, Zhu

January 1987

Macro-operators is a problem solving technique in the field of artificial intelligence. The applicat...

Experimental comparison of uninformed and heuristic ai algorithms for N puzzle solution

Mathew, Kuruvilla
Tabassum, Mujahid
Ramakrishnan, Mohana

January 2013

This paper compares the performance of popular AI techniques, namely the Breadth First Search, Depth...

Experimental comparison of uninformed and heuristic AI algorithms for N puzzle and 8 queen puzzle solution

Mathew, Kuruvilla
Tabassum, Mujahid

January 2014

This paper compares the performance of popular AI techniques, namely the Breadth First Search, Depth...

Heuristic Search: Theory and Applications

Stefan Edelkamp, Stefan Schorold

July 2017

Search has been vital to artificial intelligence from the very beginning as a core technique in prob...

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Mujahid Tabassum
Mohana Ramakrishnan

October 2016

This paper compares the performance of popular AI techniques, namely the Breadth First Search, Dept

Heuristics: Intelligent Search Strategies for Computer Problem Solving

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January 1984

This book presents, characterizes and analyzes problem solving strategies that are guided by heurist...

Likely-admissible and sub-symbolic heuristics

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GORI, MARCO

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15-Puzzle Problem Solving with the Artificial Bee Colony Algorithm Based on Pattern Database

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The N-puzzle problem is one of the most classical problems in mathematics. Since the number of state...

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Improving heuristic mini-max search by supervised learning

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AbstractThis article surveys three techniques for enhancing heuristic game-tree search pioneered in ...

The Manhattan Pair Distance Heuristic for the 15-Puzzle

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O A Pderbrn
Center For C
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Bernard Bauer

January 1994

The 15-puzzle is a popular workbench model for measuring the performance of heuristic search algori...

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Ernst G.W.

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In this paper we propose a technique for learning efficient strategies for solving a certain class o...

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Selective Macro-learning for Solving the N N Puzzle Tait, P. G. (1880). Note on the theory of the \15 puzzle". Proceedings of the Royal Society

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Selective Macro-learning for Solving the N N Puzzle Tait, P. G. (1880). Note on the theory of the \15 puzzle". Proceedings of the Royal Society

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Selective Macro-learning for Solving the N N Puzzle Tait, P. G. (1880). Note on the theory of the \15 puzzle&quot;. Proceedings of the Royal Society

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Selective Macro-learning for Solving the N N Puzzle Tait, P. G. (1880). Note on the theory of the \15 puzzle&quot;. Proceedings of the Royal Society

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Selective Macro-learning for Solving the N N Puzzle Tait, P. G. (1880). Note on the theory of the \15 puzzle". Proceedings of the Royal Society

Selective Macro-learning for Solving the N N Puzzle Tait, P. G. (1880). Note on the theory of the \15 puzzle". Proceedings of the Royal Society