{"id":4711,"date":"2024-09-22T11:10:46","date_gmt":"2024-09-22T03:10:46","guid":{"rendered":"https:\/\/nullthought.net\/?p=4711"},"modified":"2025-01-07T11:29:27","modified_gmt":"2025-01-07T03:29:27","slug":"sciagents%ef%bc%9a%e9%80%9a%e8%bf%87%e5%a4%9a%e4%bb%a3%e7%90%86%e7%b3%bb%e7%bb%9f%ef%bc%88multi-agent-system%ef%bc%89%e5%92%8c%e7%9f%a5%e8%af%86%e5%9b%be%e8%b0%b1%ef%bc%88knowledge-graphs%ef%bc%89","status":"publish","type":"post","link":"https:\/\/nullthought.net\/?p=4711","title":{"rendered":"SciAgents\uff1a\u901a\u8fc7\u591a\u4ee3\u7406\u7cfb\u7edf\uff08Multi-Agent System\uff09\u548c\u77e5\u8bc6\u56fe\u8c31\uff08Knowledge Graphs\uff09\uff0c\u5b9e\u73b0\u79d1\u5b66\u53d1\u73b0\u7684\u81ea\u52a8\u5316"},"content":{"rendered":"\n<p>\u8bba\u6587<strong><a href=\"https:\/\/arxiv.org\/abs\/2409.05556\" target=\"_blank\" rel=\"noreferrer noopener\">SciAgents: Automating scientific discovery through multi-agent intelligent graph reasoning<\/a><\/strong>\u63d0\u51fa\u4e86\u4e00\u79cd\u540d\u4e3a<strong>SciAgents<\/strong>\u7684\u6846\u67b6\uff0c\u65e8\u5728\u901a\u8fc7\u591a\u4ee3\u7406\u7cfb\u7edf\uff08Multi-Agent System, MAS\uff09\u548c\u77e5\u8bc6\u56fe\u8c31\uff08Knowledge Graphs\uff09\u81ea\u52a8\u5316\u79d1\u5b66\u53d1\u73b0\u8fc7\u7a0b\uff0c\u7279\u522b\u662f\u5728\u751f\u7269\u542f\u53d1\u6750\u6599\u9886\u57df\u3002SciAgents\u7684\u8bbe\u8ba1\u76ee\u7684\u662f\u901a\u8fc7\u4eba\u5de5\u667a\u80fd\uff08AI\uff09\u6280\u672f\u548c\u5927\u89c4\u6a21\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u6765\u5904\u7406\u5e9e\u5927\u7684\u79d1\u5b66\u6570\u636e\uff0c\u81ea\u52a8\u5316\u751f\u6210\u5e76\u9a8c\u8bc1\u79d1\u5b66\u5047\u8bbe\uff0c\u6781\u5927\u5730\u52a0\u901f\u79d1\u5b66\u7814\u7a76\u7684\u6548\u7387\u3002\u901a\u8fc7\u8fd9\u79cd\u6846\u67b6\uff0c\u7814\u7a76\u8005\u53ef\u4ee5\u66f4\u52a0\u9ad8\u6548\u5730\u63a2\u7d22\u590d\u6742\u7684\u8de8\u5b66\u79d1\u9886\u57df\uff0c\u53d1\u73b0\u4ee5\u524d\u672a\u88ab\u63ed\u793a\u7684\u79d1\u5b66\u8054\u7cfb\u548c\u521b\u65b0\u6750\u6599\u8bbe\u8ba1\u65b9\u6848\u3002<\/p>\n\n\n\n<p>\u8bba\u6587\u4f5c\u8005\u4e3aAlireza Ghafarollahi, Markus J. Buehler\uff0c\u5747\u6765\u81eaMIT\u3002<\/p>\n\n\n\n<p>\u9488\u5bf9SciAgents\uff0c\u8bba\u6587\u4f5c\u8005<a href=\"https:\/\/www.linkedin.com\/in\/markus-j-buehler-2245682\/\" target=\"_blank\" rel=\"noreferrer noopener\">Markus J. Buehler<\/a>\u8bf4\u4e86\u53e5<a href=\"https:\/\/www.linkedin.com\/posts\/markus-j-buehler-2245682_ai-o1-autogen-ugcPost-7243239720162332674-yhaL\/\" target=\"_blank\" rel=\"noreferrer noopener\">\u8111\u6d1e\u5927\u5f00\u7684\u8bdd<\/a>\uff1a<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"has-small-font-size\">&#8230;<br>In the field of materials science, for instance, SciAgents has already demonstrated how principles from biology, music, and art can converge to create new biomimetic materials. Through isomorphic mapping, parallels have been drawn between Beethoven\u2019s 9th Symphony and biological structures, pointing to a broader applicability of AI-driven insights across disciplines.<br>\u5728\u6750\u6599\u79d1\u5b66\u9886\u57df\uff0cSciAgents\u5df2\u7ecf\u5c55\u793a\u4e86\u5982\u4f55\u5c06\u751f\u7269\u5b66\u3001\u97f3\u4e50\u548c\u827a\u672f\u7684\u539f\u7406\u878d\u5408\u8d77\u6765\uff0c\u521b\u9020\u51fa\u65b0\u7684\u4eff\u751f\u6750\u6599\u3002\u901a\u8fc7\u540c\u6784\u6620\u5c04\uff0c\u5df2\u7ecf\u5728\u8d1d\u591a\u82ac\u7684\u7b2c\u4e5d\u4ea4\u54cd\u66f2\u4e0e\u751f\u7269\u7ed3\u6784\u4e4b\u95f4\u627e\u5230\u4e86\u76f8\u4f3c\u4e4b\u5904\uff0c\u8868\u660e\u4e86\u4eba\u5de5\u667a\u80fd\u9a71\u52a8\u7684\u6d1e\u5bdf\u5728\u8de8\u5b66\u79d1\u9886\u57df\u7684\u5e7f\u6cdb\u9002\u7528\u6027\u3002<br>&#8230;<\/p>\n<\/blockquote>\n\n\n\n<p><strong>\u8d1f\u9762\u5730\u60f3\u60f3\u5219\u7ec6\u601d\u6781\u6050\uff0c\u8fde\u79d1\u5b66\u53d1\u73b0\u90fd\u6e10\u6e10\u5728\u8131\u79bb\u4eba\u7c7b\u81ea\u8eab\u7684\u63a7\u5236~\ud83d\ude42<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"701\" height=\"662\" src=\"https:\/\/nullthought.net\/wp-content\/uploads\/2024\/09\/image-11.png\" alt=\"\" class=\"wp-image-4712\" srcset=\"https:\/\/nullthought.net\/wp-content\/uploads\/2024\/09\/image-11.png 701w, https:\/\/nullthought.net\/wp-content\/uploads\/2024\/09\/image-11-300x283.png 300w\" sizes=\"auto, (max-width: 701px) 100vw, 701px\" \/><figcaption class=\"wp-element-caption\"><strong><a href=\"https:\/\/arxiv.org\/abs\/2409.05556\" target=\"_blank\" rel=\"noreferrer noopener\">SciAgents: Automating scientific discovery through multi-agent intelligent graph reasoning<\/a><\/strong><\/figcaption><\/figure>\n\n\n\n<p>\u4ee5\u4e0b\u4e3a\u8bba\u6587\u6982\u8981\u5185\u5bb9\uff1a<\/p>\n\n\n\n<h5 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class=\"wp-block-heading\">\u4e8c\u3001<strong>SciAgents\u6846\u67b6\u6838\u5fc3\u6982\u5ff5<\/strong><\/h5>\n\n\n\n<p>SciAgents\u6846\u67b6\u57fa\u4e8e\u4e09\u4e2a\u6838\u5fc3\u6982\u5ff5\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>\u5927\u89c4\u6a21\u672c\u4f53\u77e5\u8bc6\u56fe\u8c31<\/strong>\uff1a\u8bba\u6587\u63d0\u51fa\u4e86\u5229\u7528\u5927\u89c4\u6a21\u7684\u672c\u4f53\u77e5\u8bc6\u56fe\u8c31\u5c06\u4e0d\u540c\u7684\u79d1\u5b66\u6982\u5ff5\u7ec4\u7ec7\u5e76\u8fde\u63a5\u5728\u4e00\u8d77\uff0c\u5f62\u6210\u4e00\u4e2a\u7cfb\u7edf\u7684\u77e5\u8bc6\u7f51\u7edc\u3002\u77e5\u8bc6\u56fe\u8c31\u901a\u8fc7\u4ece\u5927\u91cf\u79d1\u5b66\u6587\u732e\u4e2d\u63d0\u53d6\u4fe1\u606f\uff0c\u6784\u5efa\u51fa\u79d1\u5b66\u6982\u5ff5\u4e4b\u95f4\u7684\u5173\u7cfb\u7f51\u7edc\uff0c\u5e76\u901a\u8fc7\u56fe\u8bba\u5206\u6790\u6765\u63ed\u793a\u9690\u85cf\u7684\u8de8\u5b66\u79d1\u5173\u7cfb\u3002<\/li>\n\n\n\n<li><strong>\u5927\u89c4\u6a21\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u4e0e\u6570\u636e\u68c0\u7d22\u5de5\u5177\u7684\u7ed3\u5408<\/strong>\uff1aSciAgents\u4f7f\u7528\u4e86\u591a\u4e2a\u5927\u89c4\u6a21\u8bed\u8a00\u6a21\u578b\u4ee5\u53ca\u6570\u636e\u68c0\u7d22\u5de5\u5177\u6765\u5206\u6790\u548c\u751f\u6210\u65b0\u7684\u79d1\u5b66\u5047\u8bbe\u3002LLM\u80fd\u591f\u4ece\u81ea\u7136\u8bed\u8a00\u8f93\u5165\u4e2d\u63d0\u53d6\u4fe1\u606f\uff0c\u5e76\u6839\u636e\u4e0a\u4e0b\u6587\u751f\u6210\u65b0\u7684\u5047\u8bbe\u3002SciAgents\u8fd8\u7ed3\u5408\u4e86\u5916\u90e8\u6570\u636e\u68c0\u7d22\u5de5\u5177\uff0c\u5982Semantic 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Agent\uff09<\/strong>\uff1a\u8d1f\u8d23\u5b9a\u4e49\u77e5\u8bc6\u56fe\u8c31\u4e2d\u7684\u6982\u5ff5\uff0c\u5e76\u89e3\u91ca\u8fd9\u4e9b\u6982\u5ff5\u4e4b\u95f4\u7684\u5173\u7cfb\u3002<\/li>\n\n\n\n<li><strong>\u79d1\u5b66\u5bb6\u4ee3\u74061\uff08Scientist Agent 1\uff09<\/strong>\uff1a\u8d1f\u8d23\u751f\u6210\u8be6\u7ec6\u7684\u7814\u7a76\u5047\u8bbe\uff0c\u63d0\u51fa\u6750\u6599\u8bbe\u8ba1\u7684\u5177\u4f53\u673a\u5236\u3001\u9884\u671f\u7ed3\u679c\u548c\u521b\u65b0\u70b9\u3002<\/li>\n\n\n\n<li><strong>\u79d1\u5b66\u5bb6\u4ee3\u74062\uff08Scientist Agent 2\uff09<\/strong>\uff1a\u8fdb\u4e00\u6b65\u6269\u5c55\u548c\u7ec6\u5316\u5047\u8bbe\uff0c\u6dfb\u52a0\u5b9a\u91cf\u4fe1\u606f\uff0c\u5e76\u8bbe\u8ba1\u8be6\u7ec6\u7684\u5b9e\u9a8c\u6216\u6a21\u62df\u65b9\u6848\u3002<\/li>\n\n\n\n<li><strong>\u6279\u8bc4\u4ee3\u7406\uff08Critic Agent\uff09<\/strong>\uff1a\u5bf9\u751f\u6210\u7684\u5047\u8bbe\u8fdb\u884c\u6279\u5224\u6027\u5ba1\u67e5\uff0c\u6307\u51fa\u5176\u4f18\u7f3a\u70b9\uff0c\u5e76\u63d0\u51fa\u6539\u8fdb\u610f\u89c1\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>\u5047\u8bbe\u751f\u6210\u4e0e\u9a8c\u8bc1<\/strong>\uff1a\u7cfb\u7edf\u901a\u8fc7\u77e5\u8bc6\u56fe\u8c31\u4e2d\u7684\u5173\u7cfb\u751f\u6210\u521d\u6b65\u7684\u7814\u7a76\u5047\u8bbe\uff0c\u5e76\u4f7f\u7528\u81ea\u7136\u8bed\u8a00\u5904\u7406\u6a21\u578b\u8fdb\u884c\u8fdb\u4e00\u6b65\u6269\u5c55\u3002\u751f\u6210\u7684\u5047\u8bbe\u5305\u62ec\u4ee5\u4e0b\u4e03\u4e2a\u65b9\u9762\uff1a\n<ul class=\"wp-block-list\">\n<li><strong>\u5047\u8bbe<\/strong>\uff08Hypothesis\uff09\uff1a\u660e\u786e\u63d0\u51fa\u7814\u7a76\u5047\u8bbe\u3002<\/li>\n\n\n\n<li><strong>\u9884\u671f\u7ed3\u679c<\/strong>\uff08Outcome\uff09\uff1a\u63cf\u8ff0\u9884\u671f\u7684\u7814\u7a76\u7ed3\u679c\uff0c\u5c3d\u91cf\u5b9a\u91cf\u5316\u3002<\/li>\n\n\n\n<li><strong>\u673a\u5236<\/strong>\uff08Mechanism\uff09\uff1a\u8be6\u7ec6\u8bf4\u660e\u76f8\u5173\u7684\u5316\u5b66\u3001\u7269\u7406\u6216\u751f\u7269\u5b66\u673a\u5236\u3002<\/li>\n\n\n\n<li><strong>\u8bbe\u8ba1\u539f\u7406<\/strong>\uff08Design Principles\uff09\uff1a\u5217\u51fa\u65b0\u6750\u6599\u6216\u7cfb\u7edf\u7684\u8bbe\u8ba1\u539f\u7406\uff0c\u63d0\u51fa\u521b\u65b0\u6027\u8bbe\u8ba1\u65b9\u6848\u3002<\/li>\n\n\n\n<li><strong>\u610f\u5916\u7279\u6027<\/strong>\uff08Unexpected Properties\uff09\uff1a\u9884\u6d4b\u65b0\u6750\u6599\u53ef\u80fd\u5177\u6709\u7684\u610f\u5916\u7279\u6027\uff0c\u8bf4\u660e\u5176\u6f5c\u5728\u539f\u56e0\u3002<\/li>\n\n\n\n<li><strong>\u6bd4\u8f83<\/strong>\uff08Comparison\uff09\uff1a\u4e0e\u73b0\u6709\u6750\u6599\u6216\u6280\u672f\u8fdb\u884c\u8be6\u7ec6\u7684\u5bf9\u6bd4\u3002<\/li>\n\n\n\n<li><strong>\u521b\u65b0\u6027<\/strong>\uff08Novelty\uff09\uff1a\u8ba8\u8bba\u63d0\u51fa\u7684\u7814\u7a76\u5047\u8bbe\u76f8\u8f83\u4e8e\u73b0\u6709\u7814\u7a76\u7684\u521b\u65b0\u70b9\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>\u591a\u4ee3\u7406\u534f\u4f5c\u4e0e\u6279\u8bc4<\/strong>\uff1a\u4e0d\u540c\u4ee3\u7406\u534f\u4f5c\u751f\u6210\u5047\u8bbe\uff0c\u6279\u8bc4\u4ee3\u7406\u901a\u8fc7\u63d0\u51fa\u5efa\u8bae\u548c\u6539\u8fdb\u65b9\u6848\uff0c\u786e\u4fdd\u5047\u8bbe\u4e0d\u4ec5\u5177\u6709\u521b\u65b0\u6027\uff0c\u8fd8\u5177\u5907\u79d1\u5b66\u6027\u548c\u53ef\u884c\u6027\u3002<\/li>\n\n\n\n<li><strong>\u7ed3\u679c\u5c55\u793a\u4e0e\u8bc4\u4f30<\/strong>\uff1a\u8bba\u6587\u901a\u8fc7\u6848\u4f8b\u7814\u7a76\u5c55\u793a\u4e86SciAgents\u7684\u5de5\u4f5c\u6d41\u7a0b\u3002\u4f8b\u5982\uff0c<strong>\u7cfb\u7edf\u968f\u673a\u9009\u62e9\u201c\u4e1d\u7ef8\u201d\u548c\u201c\u80fd\u91cf\u5bc6\u96c6\u578b\u201d\u4f5c\u4e3a\u8d77\u59cb\u8282\u70b9\uff0c\u751f\u6210\u4e86\u4e00\u4e2a\u5173\u4e8e\u4e1d\u7ef8\u4e0e\u6750\u6599\u8bbe\u8ba1\u7684\u7814\u7a76\u5047\u8bbe\u3002\u5047\u8bbe\u5305\u62ec\u5982\u4f55\u901a\u8fc7\u7ed3\u5408\u751f\u7269\u542f\u53d1\u7684\u4e1d\u7ef8\u6750\u6599\u548c\u4f4e\u80fd\u8017\u7684\u52a0\u5de5\u65b9\u6cd5\u6765\u6539\u8fdb\u6750\u6599\u7684\u673a\u68b0\u6027\u80fd\u548c\u5149\u5b66\u6027\u80fd\u3002\u901a\u8fc7\u5bf9\u6bd4\u5206\u6790\u548c\u6279\u8bc4\u4ee3\u7406\u7684\u53cd\u9988\uff0c\u6700\u7ec8\u5f97\u51fa\u4e86\u4e00\u4efd\u8be6\u7ec6\u7684\u7814\u7a76\u62a5\u544a<\/strong>\u3002<\/li>\n<\/ol>\n\n\n\n<h5 class=\"wp-block-heading\">\u56db\u3001<strong>\u5e94\u7528\u4e0e\u5f71\u54cd<\/strong><\/h5>\n\n\n\n<p>SciAgents\u4e0d\u4ec5\u9002\u7528\u4e8e\u6750\u6599\u79d1\u5b66\uff0c\u8fd8\u80fd\u591f\u5e7f\u6cdb\u5e94\u7528\u4e8e\u5176\u4ed6\u5b66\u79d1\u9886\u57df\u7684\u7814\u7a76\u3002\u901a\u8fc7\u81ea\u52a8\u5316\u751f\u6210\u7814\u7a76\u5047\u8bbe\uff0cSciAgents\u80fd\u591f\u6781\u5927\u5730\u52a0\u901f\u79d1\u5b66\u53d1\u73b0\u8fc7\u7a0b\uff0c\u5c24\u5176\u662f\u5728\u9700\u8981\u8de8\u5b66\u79d1\u5408\u4f5c\u7684\u9886\u57df\u4e2d\uff0c\u5982\u751f\u7269\u542f\u53d1\u6750\u6599\u3001\u5408\u6210\u751f\u7269\u5b66\u7b49\u3002<\/p>\n\n\n\n<p>\u8be5\u7cfb\u7edf\u7684\u591a\u4ee3\u7406\u534f\u4f5c\u6a21\u5f0f\uff0c\u7c7b\u4f3c\u4e8e\u751f\u7269\u7cfb\u7edf\u4e2d\u7684\u201c\u667a\u80fd\u7fa4\u4f53\u201d\uff08Swarm of Intelligence\uff09\uff0c\u80fd\u591f\u6a21\u62df\u591a\u4e2a\u7814\u7a76\u8005\u4e4b\u95f4\u7684\u5408\u4f5c\u4e0e\u53cd\u9988\uff0c\u751f\u6210\u8d85\u8d8a\u4eba\u7c7b\u7814\u7a76\u8005\u60f3\u8c61\u529b\u548c\u77e5\u8bc6\u7684\u521b\u65b0\u5047\u8bbe\u3002<\/p>\n\n\n\n<h5 class=\"wp-block-heading\">\u4e94\u3001<strong>\u672a\u6765\u5c55\u671b<\/strong><\/h5>\n\n\n\n<p>\u8bba\u6587\u6700\u540e\u8ba8\u8bba\u4e86SciAgents\u7684\u6f5c\u529b\u548c\u672a\u6765\u53d1\u5c55\u65b9\u5411\u3002\u672a\u6765\u53ef\u4ee5\u901a\u8fc7\u589e\u52a0\u4ee3\u7406\u7684\u79cd\u7c7b\uff0c\u4f8b\u5982\u80fd\u591f\u6267\u884c\u6a21\u62df\u548c\u5b9e\u9a8c\u7684\u4ee3\u7406\uff0c\u8fdb\u4e00\u6b65\u63d0\u5347\u7cfb\u7edf\u7684\u81ea\u52a8\u5316\u6c34\u5e73\u3002\u6b64\u5916\uff0c\u8bba\u6587\u63d0\u51fa\uff0cSciAgents\u6846\u67b6\u53ef\u4ee5\u7528\u4e8e\u5927\u89c4\u6a21\u751f\u6210\u6750\u6599\u8bbe\u8ba1\u7684\u7814\u7a76\u5047\u8bbe\uff0c\u8fdb\u4e00\u6b65\u6269\u5c55\u79d1\u5b66\u53d1\u73b0\u7684\u8fb9\u754c\u3002<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p>SciAgents on GitHub: <a href=\"https:\/\/github.com\/lamm-mit\/SciAgentsDiscovery\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/github.com\/lamm-mit\/SciAgentsDiscovery<\/a><\/p>\n\n\n\n<p>Model Card on Hugging Face: <a href=\"https:\/\/huggingface.co\/lamm-mit\/bio-graph-1K\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/huggingface.co\/lamm-mit\/bio-graph-1K<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u8bba\u6587SciAgents: Automating scientific discovery through mu [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center 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