## Learning to Solve Problems by Searching for Macro-Operators |

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### Contents

Contents yn8b | 1 |

The Need for a New Problem Solving Method | 7 |

Previous Work | 19 |

Copyright | |

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2L Fin 2x2x2 Rubik's Cube 3x3x3 Rubik's Cube algorithm applicable Artificial lntelligence average case solution B2 ULB bi-directional search blank branching factor brute force search column corresponding cubie disks DLF DRF domain Eight Puzzle evaluation function example F Fan F R F F2 DLF Fifteen Puzzle goal position goal values Hanoi problem hash function hash table Hence heuristic information preserving initial inverse ln addition Macro Problem Solver macro table macro-operators means-ends analysis node non-serializable subgoals number of macros number of primitive operator decomposability permutation groups position and orientation preconditions primitive moves primitive operators problem instance problem solving problem space representation result serializable serially decomposable set of subgoals solution length solution order target values technique theorem Think-a-Dot problem tile total number totally decomposable Towers of Hanoi ULB URB variables weak methods zn F