{"id":38731,"date":"2022-11-26T20:48:05","date_gmt":"2022-11-26T12:48:05","guid":{"rendered":"https:\/\/swarma.org\/?p=38731"},"modified":"2022-11-26T20:48:05","modified_gmt":"2022-11-26T12:48:05","slug":"%e5%89%8d%e6%b2%bf%e9%80%9f%e9%80%92%ef%bc%9a%e9%9b%86%e7%be%a4%e6%97%b6%e9%97%b4%e5%ba%8f%e5%88%97%e5%8f%98%e7%82%b9%e6%a3%80%e6%b5%8b%e7%9a%84%e9%ab%98%e9%98%b6%e6%8b%93%e6%89%91%e7%89%b9%e5%be%81","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=38731","title":{"rendered":"\u524d\u6cbf\u901f\u9012\uff1a\u96c6\u7fa4\u65f6\u95f4\u5e8f\u5217\u53d8\u70b9\u68c0\u6d4b\u7684\u9ad8\u9636\u62d3\u6251\u7279\u5f81\u63d0\u53d6"},"content":{"rendered":"
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\u9ad8\u9636\u62d3\u6251\u7279\u5f81\u63d0\u53d6\u5c06\ud835\udc41\u00d7d\u00d7\ud835\udc47\u7ef4\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u8f6c\u5316\u4e3a\ud835\udc40\u00d7\ud835\udc47\u7ef4\uff0c\u8fdb\u800c\u91c7\u7528\u53d8\u70b9\u68c0\u6d4b\u4f30\u8ba1\u96c6\u7fa4\u72b6\u6001\u53d8\u5316\u7684\u65f6\u95f4\u70b9\u3002\u8fd1\u65e5\u53d1\u8868\u5728Chaos<\/em>\u4e0a\u7684\u4e00\u7bc7\u6587\u7ae0\uff0c\u4f5c\u8005\u901a\u8fc7\u63d0\u53d6\u65f6\u95f4\u5207\u7247\u4e0a\u7684Betti\u6570\u548c\u6301\u4e45\u6027\u4e24\u7c7b\u9ad8\u9636\u62d3\u6251\u7279\u5f81\uff0c\u5b9e\u73b0\u6570\u636e\u964d\u7ef4\u548c\u7f3a\u5931\u6570\u636e\u63d2\u8865\uff0c\u4ece\u800c\u8bc6\u522b\u96c6\u7fa4\u7cfb\u7edf\u7684\u72b6\u6001\u53d8\u5316\uff0c\u663e\u793a\u51fa\u4e86\u5728\u65f6\u95f4\u5e8f\u5217\u5206\u6790\u3001\u590d\u6742\u7f51\u7edc\u7b49\u9886\u57df\u7684\u5e94\u7528\u6f5c\u529b\u3002\u8be5\u7814\u7a76\u53d7\u5230\u4e86\u96c6\u667a\u9ad8\u9636\u7f51\u7edc\u8bfb\u4e66\u4f1a\u7b2c\u4e09\u671f<\/a><\/span><\/strong><\/span><\/strong><\/span><\/strong>\u5185\u5bb9\u7684\u542f\u53d1\u3002<\/span><\/strong><\/span><\/strong><\/span><\/strong><\/p>\n


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\u5173\u952e\u8bcd\uff1a\u53d8\u70b9\u68c0\u6d4b\uff0c\u4ee3\u6570\u62d3\u6251\uff0c\u591a\u667a\u80fd\u4f53\u96c6\u7fa4\uff0c\u65f6\u95f4\u5e8f\u5217\u5206\u6790<\/span><\/strong><\/span><\/strong><\/strong><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/strong><\/strong><\/span><\/strong><\/span><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

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Change point detection in multi-agent systems based on higher-order features[1]<\/span><\/p>\n

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https:\/\/doi.org\/10.1063\/5.0126848<\/span><\/section>\n<\/section>\n<\/section>\n<\/blockquote>\n


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\uff08c\uff09\u6574\u4f53\uff1a<\/strong>\u6240\u6709\u65f6\u95f4\u5207\u7247\u7684\u9ad8\u9636\u62d3\u6251\u7279\u5f81\u5411\u91cf\u96c6\u6210\u4e3aBetti\u6570\u77e9\u9635\ud835\udc35\u548c\u6301\u4e45\u6027\u77e9\u9635\ud835\udc43\uff0c\u5e76\u91c7\u7528\u4e00\u822c\u53d8\u70b9\u68c0\u6d4b\u65b9\u6cd5\u5f97\u5230\u53d8\u70b9\u4f30\u8ba1\uff0c\u5982\u56fe1\uff08c\uff09\u6240\u793a\uff0c\u5176\u4e2d\u5782\u76f4\u7ebf\u662f\u53d8\u5316\u65f6\u95f4\u70b9\u3002<\/span><\/section>\n

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\u56fe1  Betti\u6570\u548c\u6301\u4e45\u6027\u7279\u5f81\u63d0\u53d6\u793a\u610f\u56fe<\/span><\/section>\n

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\u56fe2\uff08a\uff09\u5c55\u793a\u4e86\u4e0d\u540c\u7f3a\u5931\u6570\u636e\u6bd4\u4f8b\u4e0b\u7684Betti\u6570\u548c\u6301\u4e45\u6027\u7279\u5f81\u63d0\u53d6\u7684\u8868\u73b0\uff0c\u5176\u4e2d\u9ed1\u8272\u6c34\u5e73\u7ebf\u662fE-Agglo\u65b9\u6cd5\u5728\u65e0\u7f3a\u5931\u6570\u636e\u60c5\u51b5\u4e0b\u7684\u8868\u73b0\uff0c\u7ed3\u679c\u8868\u660e\u9ad8\u9636\u62d3\u6251\u7279\u5f81\u5bf9\u7f3a\u5931\u6570\u636e\u5177\u6709\u8f83\u5f3a\u7a33\u5b9a\u6027\u3002<\/span><\/section>\n

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\u56fe2 \u4e0d\u540c\u6bd4\u4f8b\u7f3a\u5931\u6570\u636e\u5b9e\u9a8c<\/span><\/section>\n

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\u5b9e\u4f8b\u4e00\uff1a<\/strong>\u56fe3\u5c55\u793a\u4e86\u5bf9MSRC-12 \u6570\u636e\u96c6\u4e2d\u4e00\u7cfb\u5217\u97a0\u8eac\u52a8\u4f5c\u7684\u9636\u6bb5\u5212\u5206\uff0c\u6df1\u8272\u4e0e\u6d45\u8272\u5757\u7684\u4ea4\u754c\u70b9\u4e3a\u624b\u52a8\u6807\u6ce8\u7684\u53d8\u70b9\u3002\u7ed3\u679c\u8868\u660e\uff0cBetti\u6570\u548c\u6301\u4e45\u6027\u7279\u5f81\u63d0\u53d6\u65b9\u6cd5\u5747\u80fd\u5408\u7406\u5212\u5206\u52a8\u4f5c\u5e8f\u5217\uff0c\u63d0\u9ad8\u57fa\u51c6E-Agglo\u65b9\u6cd5\u7684\u6027\u80fd\u3002<\/span><\/section>\n

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\u672c\u6587\u6240\u6709\u4ee3\u7801\u5df2\u4e0a\u4f20Github https:\/\/github.com\/gukongjing.<\/span><\/section>\n

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[1] Gu, K., Yan, L., Li, X., Duan, X., & Liang, J. (2022). Change point detection in multi-agent systems based on higher-order features. Chaos: An Interdisciplinary Journal of Nonlinear Science, 32(11), 111102. https:\/\/doi.org\/10.1063\/5.0126848<\/span><\/p>\n


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