Relevance Cuts: Localizing the Search

Relevance Cuts: Localizing the Search (1998)

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by Andreas Junghanns , Jonathan Schaeffer

Venue:	In The First International Conference on Computers and Games
Citations:	9 - 5 self

BibTeX

@INPROCEEDINGS{Junghanns98relevancecuts:,
    author = {Andreas Junghanns and Jonathan Schaeffer},
    title = {Relevance Cuts: Localizing the Search},
    booktitle = {In The First International Conference on Computers and Games},
    year = {1998},
    pages = {1--13},
    publisher = {Springer Verlag}
}

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Abstract

. Humans can effectively navigate through large search spaces, enabling them to solve problems with daunting complexity. This is largely due to an ability to successfully distinguish between relevant and irrelevant actions (moves). In this paper we present a new single-agent search pruning technique that is based on a move's influence. The influence measure is a crude form of relevance in that it is used to differentiate between local (relevant) moves and non-local (not relevant) moves, with respect to the sequence of moves leading up to the current state. Our pruning technique uses the m previous moves to decide if a move is relevant in the current context and, if not, to cut it off. This technique results in a large reduction in the search effort required to solve Sokoban problems. Keywords: single-agent search, heuristic search, Sokoban, local search, IDA* 1 Introduction and Motivation It is commonly acknowledged that the human's ability to successfully navigate through large sear...

Keyphrases

relevance cut local search pruning technique single-agent search heuristic search crude form influence measure current context previous move technique result large reduction search effort new single-agent search pruning technique sokoban problem large search space current state large sear irrelevant action