ADABA: improving the balancing between runtime and accuracy in a new distributed version of the alpha

ADABA: improving the balancing between runtime and accuracy in a new distributed version of the alpha–beta algorithm

Published:2022-09-26 Issue:5 Volume:56 Page:4255-4293
ISSN:0269-2821
Container-title:Artificial Intelligence Review
language:en
Short-container-title:Artif Intell Rev

Author:

Tomaz Lidia Bononi Paiva^ORCID,Julia Rita Maria Silva^ORCID,Faria Matheus Prado Prandini^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Link

https://link.springer.com/content/pdf/10.1007/s10462-022-10269-3.pdf

Reference36 articles.

1. Barcelos ARA, Julia RMS RM Jr (2011) D-VisionDraughts: a draughts player neural network that learns by reinforcement a high performance environment. In: European symposium on artificial neural networks, computational intelligence and machine learning, 2011

2. Brockington MG (1997) Keyano unplugged—the construction of an Othello program. Technical Report 97-05. University of Alberta, Department of Computing Science

3. Brockington MG (1998) Asynchronous parallel game-tree search. PhD Thesis, University of Alberta, Edmonton

4. Caexeta GS (2008) Visiondraughts - um sistema de aprendizagem de jogos de damas baseado em redes neurais, diferenças temporais, algoritmos eficientes de busca em Árvores e informações perfeitas contidas em bases de dados. Master’s Thesis, Federal University of Uberlandia, Uberlandia

5. Caexeta GS, Julia RMS (2008) A draughts learning system based on neural networks and temporal differences: the impact of an efficient tree-search algorithm. In: The 19th Brazilian symposium on artificial intelligence, 2008, SBIA, LNAI series. Springer