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The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

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Research Article | Open Access |

A Comparative Study of Game Tree Searching Methods

Author 1: Ahmed A. Elnaggar Author 2: Mostafa Abdel Aziem Author 3: Mahmoud Gadallah Author 4: Hesham El-Deeb
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 5, No. 5 · Published 2014 · Cited by 16

DOI: https://doi.org/10.14569/IJACSA.2014.050510

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Abstract

In this paper, a comprehensive survey on gaming tree searching methods that can use to find the best move in two players zero-sum computer games was introduced. The purpose of this paper is to discuss, compares and analyzes various sequential and parallel algorithms of gaming tree, including some enhancement for them. Furthermore, a number of open research areas and suggestions of future work in this field are mentioned.

Keywords

game tree search searching evaluation parallel distributed GPU

How to Cite this Article

Elnaggar, A. A., Aziem, M. A., Gadallah, M., & El-Deeb, H. (2014). A Comparative Study of Game Tree Searching Methods. International Journal of Advanced Computer Science and Applications, 5(5). https://doi.org/10.14569/IJACSA.2014.050510

Elnaggar, Ahmed A., et al.. "A Comparative Study of Game Tree Searching Methods." International Journal of Advanced Computer Science and Applications, vol. 5, no. 5, 2014, https://doi.org/10.14569/IJACSA.2014.050510.

@article{Elnaggar2014,
  title     = {A Comparative Study of Game Tree Searching Methods},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {5},
  number    = {5},
  year      = {2014},
  publisher = {The Science and Information Organization},
  author    = {Ahmed A. Elnaggar and Mostafa Abdel Aziem and Mahmoud Gadallah and Hesham El-Deeb},
  doi       = {10.14569/IJACSA.2014.050510},
  url       = {https://doi.org/10.14569/IJACSA.2014.050510}
}

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