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Shologuti has three major component: move generation, search and evaluation. Each components are pretty much necessary, though evaluation with its quiescence analysis is the main part which makes each programβs play unique. To make this game more striking, most reliable algorithms and its many supporting aids are used here. Main components of the game tree search and pruning are analyzed here and the performance refinements such as aspiration variation search, assists like transposition and history table are compared here.
Mohd. Saifuzzaman, Samia Nawshin. 2018. "The Role of Shologuti in Artificial Intelligence Research: A Rural Game of Bangladesh". Global Journal of Computer Science and Technology - D: Neural & AI GJCST-D Volume 18 (GJCST Volume 18 Issue D2).
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
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Total Score: 102
Country: Bangladesh
Subject: Global Journal of Computer Science and Technology - D: Neural & AI
Authors: Samia Nawshin, Mohd. Saifuzzaman (PhD/Dr. count: 0)
View Count (all-time): 470
Total Views (Real + Logic): 2546
Total Downloads (simulated): 126
Publish Date: 2018 01, Mon
Monthly Totals (Real + Logic):
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