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    題名: Job-level alpha-beta search
    作者: 張嘉惠;Chen, Jr-Chang;Wu, I-Chen;Tseng, Wen-Jie;Lin, Bo-Han;Chang, Chia-Hui
    貢獻者: 資訊電機學院資訊工程學系
    關鍵詞: Algorithm design and analysis;Alpha-beta search;chinese chess;Complexity theory;Computer science;Computers;Educational institutions;game tree search;Games;job-level computing;opening book;Parallel processing
    日期: 2015-03-01
    上傳時間: 2026-04-23 13:50:03 (UTC+8)
    出版者: Institute of Electrical and Electronics Engineers Inc.;IEEE
    摘要: 摘要: An approach called generic job-level (JL) search was proposed to solve computer game applications by dispatching jobs to remote workers for parallel processing. This paper applies JL search to alpha-beta search, and proposes a JL alpha-beta search (JL-ABS) algorithm based on a best-first search version of MTD(f). The JL-ABS algorithm is demonstrated by using it in an opening book analysis for Chinese chess. The experimental results demonstrated that JL-ABS reached a speed-up of 10.69 when using 16 workers in the JL system.
    其他題名: TCIAIG
    出版者: IEEE
    出版日期: 2015-03
    出處: IEEE transactions on computational intelligence and AI in games., 2015-03, Vol.7 (1), p.28-38
    資源來源: IEEE Xplore
    識別號: ISSN: 1943-068X
    識別號: EISSN: 1943-0698
    識別號: DOI: 10.1109/TCIAIG.2014.2316314
    識別號: CODEN: TCIARR
    顯示於類別:[資訊工程學系] 期刊論文

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