爱因斯坦的研究发现:一夜之间!基于蒙特卡罗算法的优化评价

The 26th Chinese Control and Decision Conference (2014 CCDC) Pub Date : 2014-07-14 DOI:10.1109/CCDC.2014.6852776

Xiaoyan Wang, Hong Zhang, Yajie Wang, Jie Qi, Bin Zhou

{"title":"爱因斯坦的研究发现:一夜之间!基于蒙特卡罗算法的优化评价","authors":"Xiaoyan Wang, Hong Zhang, Yajie Wang, Jie Qi, Bin Zhou","doi":"10.1109/CCDC.2014.6852776","DOIUrl":null,"url":null,"abstract":"The valuation of game situation was experimentally studied according to the characteristics of Einstein würfelt nicht!(EWN), and a reasonable evaluation method is obtained in this paper. In addition, this paper presents an optimized Monte Carlo algorithm based on the valuation of game. Finally, the optimized Monte Carlo algorithm played chess respectively with the Mini-Max algorithm and Monte Carlo algorithm, and a result got by comparative analysis.","PeriodicalId":380818,"journal":{"name":"The 26th Chinese Control and Decision Conference (2014 CCDC)","volume":"234 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research of Einstein würfelt nicht! Monte Carlo algorithm based on optimized evaluation\",\"authors\":\"Xiaoyan Wang, Hong Zhang, Yajie Wang, Jie Qi, Bin Zhou\",\"doi\":\"10.1109/CCDC.2014.6852776\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The valuation of game situation was experimentally studied according to the characteristics of Einstein würfelt nicht!(EWN), and a reasonable evaluation method is obtained in this paper. In addition, this paper presents an optimized Monte Carlo algorithm based on the valuation of game. Finally, the optimized Monte Carlo algorithm played chess respectively with the Mini-Max algorithm and Monte Carlo algorithm, and a result got by comparative analysis.\",\"PeriodicalId\":380818,\"journal\":{\"name\":\"The 26th Chinese Control and Decision Conference (2014 CCDC)\",\"volume\":\"234 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-07-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The 26th Chinese Control and Decision Conference (2014 CCDC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCDC.2014.6852776\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 26th Chinese Control and Decision Conference (2014 CCDC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCDC.2014.6852776","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

本文根据爱因斯坦感知夜(EWN)的特点，对博弈情境的评价进行了实验研究，得出了一种合理的评价方法。此外，本文还提出了一种基于博弈估值的优化蒙特卡罗算法。最后，将优化后的蒙特卡罗算法分别与Mini-Max算法和蒙特卡罗算法对弈，并通过对比分析得出结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Research of Einstein würfelt nicht! Monte Carlo algorithm based on optimized evaluation

The valuation of game situation was experimentally studied according to the characteristics of Einstein würfelt nicht!(EWN), and a reasonable evaluation method is obtained in this paper. In addition, this paper presents an optimized Monte Carlo algorithm based on the valuation of game. Finally, the optimized Monte Carlo algorithm played chess respectively with the Mini-Max algorithm and Monte Carlo algorithm, and a result got by comparative analysis.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

The 26th Chinese Control and Decision Conference (2014 CCDC)

自引率

0.00%

发文量