Difference between revisions of "Best-First"

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* [[Bandwidth Search]]
 
* [[Bandwidth Search]]
 
* [[Conspiracy Number Search]]
 
* [[Conspiracy Number Search]]
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* [[Ari Weinstein#FSSS-Minimax|FSSS-Minimax]]
 
* [[Richard P. Cochran#LCF|LCF]]
 
* [[Richard P. Cochran#LCF|LCF]]
 
* [[Monte-Carlo Tree Search]]
 
* [[Monte-Carlo Tree Search]]
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* [[Ayumu Nagai]], [[Hiroshi Imai]] ('''2002'''). ''[http://ci.nii.ac.jp/naid/110006376599 Proof for the Equivalence Between Some Best-First Algorithms and Depth-First Algorithms for AND/OR Trees]''. [http://ci.nii.ac.jp/vol_issue/nels/AA10826272/ISS0000408668_en.html IEICE transactions on information and systems]
 
* [[Ayumu Nagai]], [[Hiroshi Imai]] ('''2002'''). ''[http://ci.nii.ac.jp/naid/110006376599 Proof for the Equivalence Between Some Best-First Algorithms and Depth-First Algorithms for AND/OR Trees]''. [http://ci.nii.ac.jp/vol_issue/nels/AA10826272/ISS0000408668_en.html IEICE transactions on information and systems]
 
==2010 ...==
 
==2010 ...==
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* [[Ari Weinstein]], [[Michael L. Littman]], [[Sergiu Goschin]] ('''2013'''). ''[http://proceedings.mlr.press/v24/weinstein12a.html Rollout-based Game-tree Search Outprunes Traditional Alpha-beta]''. [http://proceedings.mlr.press/ PMLR], Vol. 24 » [[Ari Weinstein#FSSS-Minimax|FSSS-Minimax]]
 
* [[Jr-Chang Chen]], [[I-Chen Wu]], [[Wen-Jie Tseng]], [[Bo-Han Lin]], [[Chia-Hui Chang]] ('''2015'''). ''[https://ir.nctu.edu.tw/handle/11536/124541 Job-Level Alpha-Beta Search]''. [[IEEE#TOCIAIGAMES|IEEE Transactions on Computational Intelligence and AI in Games]], Vol. 7, No. 1
 
* [[Jr-Chang Chen]], [[I-Chen Wu]], [[Wen-Jie Tseng]], [[Bo-Han Lin]], [[Chia-Hui Chang]] ('''2015'''). ''[https://ir.nctu.edu.tw/handle/11536/124541 Job-Level Alpha-Beta Search]''. [[IEEE#TOCIAIGAMES|IEEE Transactions on Computational Intelligence and AI in Games]], Vol. 7, No. 1
  

Revision as of 19:53, 8 June 2018

Home * Search * Best-First

Breadth-First Node order [1]

Best-First Search is a state space search to traverse nodes of tree-like data structures (i. e. search trees) in breadth-first manner. It is usually implemented with a priority queue instead of the FIFO of breadth-first [2] , to expand the most promising node of one level first. Best-first turns a uninformed breadth-first into an informed search. Since all nodes of one level must be saved until their child nodes at the next level have been generated, the space complexity and memory requirement is proportional to the number of nodes at the deepest level.

Best-first algorithms like A* are used for path finding in combinatorial search and puzzles. Iterative deepening is a technique to turn depth-first searches into best-first with the advantage space grows linear rather than exponential with increasing search depth, as applied for instance in IDA*.

Two-Player

Following best-first algorithms were invented and implemented for computer chess programs as well for other two-player zero-sum board game players with perfect information:

See also

Publications

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Forum Posts

External Links

Arjen Gorter, Willem Breuker, Pierre Courbois, Gunter Hampel, Jeanne Lee

References

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