{"id":60802,"date":"2025-06-14T19:40:16","date_gmt":"2025-06-14T11:40:16","guid":{"rendered":"https:\/\/swarma.org\/?p=60802"},"modified":"2025-06-14T19:40:16","modified_gmt":"2025-06-14T11:40:16","slug":"%e5%a4%a7%e6%a8%a1%e5%9e%8b%e6%97%b6%e4%bb%a3%e4%b8%8b%e7%9a%84agent%e5%bb%ba%e6%a8%a1%e4%b8%8e%e4%bb%bf%e7%9c%9f%ef%bc%9a%e5%85%b1%e6%8e%a2%e4%ba%ba%e5%b7%a5%e7%a4%be%e4%bc%9a%e6%9c%aa%e6%9d%a5","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=60802","title":{"rendered":"\u5927\u6a21\u578b\u65f6\u4ee3\u4e0b\u7684Agent\u5efa\u6a21\u4e0e\u4eff\u771f\uff1a\u5171\u63a2\u4eba\u5de5\u793e\u4f1a\u672a\u6765\u56fe\u666f"},"content":{"rendered":"
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\u56e0\u6b64\uff0c\u96c6\u667a\u4ff1\u4e50\u90e8\u8054\u5408\u5c71\u4e1c\u5de5\u5546\u5b66\u9662\u526f\u6559\u6388\u9ad8\u5fb7\u534e\u3001\u5929\u6d25\u5927\u5b66\u6559\u6388\u859b\u9704\u3001\u5317\u4eac\u5e08\u8303\u5927\u5b66\u6559\u6388\u5f20\u6c5f\u3001\u56fd\u9632\u79d1\u6280\u5927\u5b66\u535a\u58eb\u7814\u7a76\u751f\u66fe\u5229\u5171\u540c\u53d1\u8d77\u300c\u5927\u6a21\u578b\u65f6\u4ee3\u4e0b\u7684Agent\u5efa\u6a21\u4e0e\u4eff\u771f\u300d\u8bfb\u4e66\u4f1a\u3002\u8bfb\u4e66\u4f1a\u81ea2025\u5e747\u67088\u65e5\u5f00\u59cb\uff0c\u6bcf\u5468\u4e8c\u665a\u4e0a7:30-9:30\u8fdb\u884c\uff0c\u9884\u8ba1\u6301\u7eed\u5206\u4eab8\u5468\u5de6\u53f3\u3002\u626b\u7801\u52a0\u5165Agent\u5efa\u6a21\u4e0e\u4eff\u771f\u7684\u524d\u6cbf\u63a2\u7d22\u4e4b\u65c5\uff0c\u4e00\u8d77\u5171\u5b66\u3001\u5171\u521b\u3001\u5171\u5efa\u3001\u5171\u4eab\u300c\u5927\u6a21\u578b\u65f6\u4ee3\u4e0b\u7684Agent\u5efa\u6a21\u4e0e\u4eff\u771f\u300d\u793e\u533a\uff0c\u5171\u540c\u7545\u60f3\u5927\u6a21\u578b\u65f6\u4ee3\u4eba\u5de5\u793e\u4f1a\u7684\u672a\u6765\u56fe\u666f\uff01<\/span>
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\u79d1\u5b66\u5bb6\u4eec\u56f4\u7ed5\u7ecf\u6d4e\u5b66\u7b49\u793e\u4f1a\u79d1\u5b66\u53ca\u5de5\u7a0b\u9886\u57df\u5e7f\u6cdb\u5b58\u5728\u7684\u590d\u6742\u7cfb\u7edf\u548c\u590d\u6742\u73b0\u8c61\u6240\u5f00\u5c55\u7684\u63a2\u7d22\u5de5\u4f5c\uff0c\u5982Joshua Epstein \u7b49\u5f00\u53d1\u7684\u7cd6\u57df\u6a21\u578b\u3001Brain Arthur \u9886\u5bfc\u5f00\u53d1\u7684\u4eba\u5de5\u80a1\u7968\u5e02\u573a\u6a21\u578b\u3001Thomas Schelling \u7684\u5c45\u4f4f\u9694\u79bb\u6a21\u578b\u3001Christopher Langton \u7684\u4eba\u5de5\u751f\u547d\u6a21\u578b\u90fd\u662f\u5728\u8fd9\u4e00\u65f6\u671f\u63d0\u51fa\u548c\u53d1\u5c55\u8d77\u6765\u7684\u3002<\/span><\/span><\/p>\n


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\u4f34\u968f\u7740ChatGPT\u3001DeepSeek\u8fd9\u6837\u7684\u5927\u8bed\u8a00\u6a21\u578b\u7684\u5174\u8d77\uff0cAgent\u5efa\u6a21\u4e0e\u4eff\u771f\u7684\u80fd\u529b\u8fce\u6765\u91cd\u5927\u8dc3\u5347\u3002\u6211\u4eec\u4e0d\u4ec5\u53ef\u4ee5\u5b9e\u73b0\u4ece\u5fae\u89c2\u4e2a\u4f53\u884c\u52a8\u5230\u5b8f\u89c2\u7fa4\u4f53\u884c\u4e3a\u4e0e\u51b3\u7b56\u6548\u5e94\/\u6a21\u5f0f\u7684\u4f4e\u6210\u672c\u3001\u9ad8\u53ef\u63a7\u7684\u63a2\u7d22\u6027\u6a21\u62df\u7814\u7a76\uff0c\u63ed\u793a\u590d\u6742\u7cfb\u7edf\u7684\u975e\u7ebf\u6027\u3001\u52a8\u6001\u6027\u548c\u4e0d\u786e\u5b9a\u6027\u7b49\u91cd\u8981\u7279\u5f81\u3002\u8fd8\u53ef\u4ee5\u901a\u8fc7\u89c2\u5bdf\u5b83\u4eec\u5408\u4f5c\u3001\u7ade\u4e89\u3001\u5b66\u4e60\u3001\u81ea\u6211\u4fee\u6b63\u7684\u884c\u4e3a\uff0c\u52a0\u6df1\u5bf9\u5927\u6a21\u578b\u7684\u7406\u89e3\uff0c\u4e3a\u5176\u7b56\u7565\u548c\u52a8\u673a\u5efa\u7acb\u53ef\u89e3\u91ca\u673a\u5236\uff0c\u62b5\u5fa1\u53ef\u80fd\u7684\u5b89\u5168\u3001\u4f26\u7406\u7b49\u4e0d\u53ef\u9006\u98ce\u9669\u3002<\/span><\/span><\/p>\n

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2. \u5927\u6a21\u578b\u65f6\u4ee3\uff0cAgent\u5efa\u6a21\u4e0e\u4eff\u771f\u4f1a\u7ed9\u590d\u6742\u7cfb\u7edf\u7406\u8bba\u5e26\u6765\u54ea\u4e9b\u7a81\u7834\uff1f<\/span><\/span><\/section>\n
3. \u5927\u6a21\u578b\u5982\u4f55\u8d4b\u80fdAgent\u5b9e\u73b0\u81ea\u4e3b\u601d\u8003\u4e0e\u52a8\u6001\u9002\u5e94\uff1f<\/span><\/span><\/section>\n
4. \u5927\u6a21\u578b\u9a71\u52a8\u7684Agent\u4ea4\u4e92\u4f1a\u6d8c\u73b0\u51fa\u4ec0\u4e48\u65b0\u578b\u7684\u793e\u4f1a\u73b0\u8c61\uff1f<\/span><\/span><\/section>\n
5. Agent\u5efa\u6a21\u4e0e\u4eff\u771f\u5982\u4f55\u6539\u53d8\u91d1\u878d\u3001\u5fc3\u7406\u3001\u7ba1\u7406\u3001\u519b\u4e8b\u7b49\u9886\u57df\u7684\u7814\u7a76\u8303\u5f0f\uff1f<\/span><\/span><\/section>\n

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2. \u638c\u63e1\u4e00\u5957\u7406\u89e3\u3001\u5206\u6790\u3001\u63a7\u5236\u3001\u9884\u6d4b\u590d\u6742\u7cfb\u7edf\u7684\u8ba1\u7b97\u5b9e\u9a8c\u6846\u67b6\uff1b<\/span><\/span><\/section>\n
3. \u638c\u63e1\u57fa\u4e8e\u591a\u4e3b\u4f53\u5f3a\u5316\u5b66\u4e60\u7684\u590d\u6742\u7cfb\u7edf\u4f18\u5316\u65b9\u6cd5\uff1b<\/span><\/span><\/section>\n
4. \u9886\u7565\u9886\u57df\u524d\u6cbf\u5b66\u8005\u7684\u7814\u7a76\u4f53\u7cfb\u4e0e\u79d1\u7814\u8def\u5f84\u3002<\/span><\/span><\/section>\n<\/section>\n<\/section>\n
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\u9ad8\u5fb7\u534e<\/span>\uff0c\u5c71\u4e1c\u5de5\u5546\u5b66\u9662\u7ba1\u7406\u79d1\u5b66\u4e0e\u5de5\u7a0b\u5b66\u9662\u526f\u6559\u6388\uff0c\u7ba1\u7406\u5b66\u535a\u58eb\uff0c\u7855\u58eb\u751f\u5bfc\u5e08\u3002\u4e2d\u56fd\u4eff\u771f\u5b66\u4f1a\u79bb\u6563\u7cfb\u7edf\u4eff\u771f\u4e13\u4e1a\u59d4\u5458\u4f1a\u4f1a\u5458\u3001\u6b27\u6d32\u7ec4\u7ec7\u7814\u7a76\u5b66\u4f1a\uff08EGOS\uff09\u4f1a\u5458\u3001\u4e9a\u6d32\u793e\u4f1a\u4eff\u771f\u5b66\u4f1a\uff08ASSA\uff09\u521b\u59cb\u4f1a\u5458\u517c\u526f\u79d8\u4e66\u957f\u3002\u4ee5\u7b2c\u4e00\/\u901a\u8baf\u4f5c\u8005\u5148\u540e\u5728\u300a\u516c\u5171\u7ba1\u7406\u5b66\u62a5\u300b\u3001\u300a\u7cfb\u7edf\u79d1\u5b66\u5b66\u62a5\u300b\u3001\u300aComputational and Mathematical Organization Theory\u300b\u3001\u300aJournal of Artificial Societies and Social Simulation\u300b\u7b49\u56fd\u5185\u5916\u5b66\u672f\u671f\u520a\u548c\u5b66\u672f\u4f1a\u8bae\u4e0a\u516c\u5f00\u53d1\u8868\u8bba\u658730\u591a\u7bc7\uff0c\u53c2\u4e0e\u7f16\u64b0\u300aOxford Handbook of Agent-based Computational Management Science\u300b\uff082024\uff09\u548c\u300aCambridge Handbook of Routine Dynamics\u300b\uff082021\uff09\u4e24\u90e8Handbook\uff0c\u4e3b\u6301\u5b8c\u6210\u5c71\u4e1c\u7701\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u9879\u76ee2\u9879\uff0c\u53c2\u4e0e\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u548c\u56fd\u5bb6\u793e\u4f1a\u79d1\u5b66\u57fa\u91d1\u7b49\u591a\u9879\u79d1\u7814\u8bfe\u9898\u3002<\/span><\/span><\/p>\n

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\u5f20\u6c5f<\/span>\uff0c\u5317\u4eac\u5e08\u8303\u5927\u5b66\u7cfb\u7edf\u79d1\u5b66\u5b66\u9662\u6559\u6388\uff0c\u96c6\u667a\u4ff1\u4e50\u90e8\u3001\u96c6\u667a\u5b66\u56ed\u521b\u59cb\u4eba\uff0c\u96c6\u667a\u79d1\u5b66\u7814\u7a76\u4e2d\u5fc3\u7406\u4e8b\u957f\uff0c\u66fe\u4efb\u817e\u8baf\u7814\u7a76\u9662\u3001\u534e\u4e3a\u6218\u7565\u7814\u7a76\u9662\u7b49\u7279\u8058\u987e\u95ee\u3002<\/span><\/span><\/p>\n

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\u4ece2025\u5e747\u67088\u65e5\u5f00\u59cb\uff0c\u6bcf\u5468\u4e8c\u665a 19:30-21:30<\/span><\/span><\/strong>\uff0c\u6301\u7eed\u65f6\u95f4\u9884\u8ba18\u5468\u5de6\u53f3\uff0c\u6309\u8bfb\u4e66\u4f1a\u6846\u67b6\u8bbe\u8ba1\uff0c\u6bcf\u5468\u8fdb\u884c\u7ebf\u4e0a\u4f1a\u8bae\uff0c\u4e0e\u4e3b\u8bb2\u4eba\u7b49\u793e\u533a\u6210\u5458\u5f53\u9762\u4ea4\u6d41\uff0c\u4f1a\u540e\u53ef\u4ee5\u83b7\u5f97\u89c6\u9891\u56de\u653e\u6301\u7eed\u5b66\u4e60\u3002<\/span><\/span><\/p>\n


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\u7b2c\u4e8c\u6b65\uff1a\u586b\u5199\u4fe1\u606f\u540e\uff0c\u4ed8\u8d39\u62a5\u540d\u3002\u5982\u9700\u7528\u652f\u4ed8\u5b9d\u652f\u4ed8\uff0c\u8bf7\u5728PC\u7aef\u8fdb\u5165\u8bfb\u4e66\u4f1a\u9875\u9762\u62a5\u540d\u652f\u4ed8\uff1ahttps:\/\/pattern.swarma.org\/study_group\/64<\/span><\/span><\/p>\n

\u7b2c\u4e09\u6b65\uff1a\u6dfb\u52a0\u8fd0\u8425\u8d1f\u8d23\u4eba\u5fae\u4fe1\uff0c\u62c9\u5165\u5bf9\u5e94\u4e3b\u9898\u7684\u8bfb\u4e66\u4f1a\u793e\u533a\uff08\u5fae\u4fe1\u7fa4\uff09\u3002<\/span><\/span><\/p>\n

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PS\uff1a\u5177\u4f53\u53c2\u4e0e\u65b9\u5f0f\u53ef\u4ee5\u52a0\u5165\u8bfb\u4e66\u4f1a\u540e\u67e5\u770b\u5bf9\u5e94\u7684\u5171\u521b\u4efb\u52a1\u5217\u8868\uff0c\u9886\u53d6\u4efb\u52a1\uff0c\u4e0e\u8fd0\u8425\u8d1f\u8d23\u4eba\u6c9f\u901a\u8be6\u60c5\uff0c\u4e0a\u8ff0\u89c4\u5219\u7684\u6700\u7ec8\u89e3\u91ca\u6743\u5f52\u96c6\u667a\u4ff1\u4e50\u90e8\u6240\u6709\u3002<\/span><\/span><\/p>\n


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https:\/\/pattern.swarma.org\/article\/352?from=wechat<\/span><\/span><\/p>\n

\u8bfb\u4e66\u4f1a\u9605\u8bfb\u6e05\u5355<\/span><\/span><\/p>\n


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Ageng\u5efa\u6a21\u4e0e\u4eff\u771f\u6982\u8ff0<\/span><\/span><\/h3>\n


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<\/section>\n

Elsenbroich, C., & Polhill, J. G. (2023). Agent-based modelling as a method for prediction in complex social systems. <\/span><\/span>International Journal of Social Research Methodology<\/span><\/span><\/em>, <\/span><\/span>26<\/span><\/span><\/em>(2), 133\u2013142.<\/span><\/span><\/p>\n

An, L., Grimm, V., Sullivan, A., Turner\u202fII, B. L., Malleson, N., et al. (2021). Challenges, tasks, and opportunities in modeling agent-based complex systems. <\/span><\/span>Ecological Modelling<\/span><\/span><\/em>, <\/span><\/span>457<\/span><\/span><\/em>, 109685.<\/span><\/span><\/p>\n

Stefan Thurner, Rudolf Hanel, and Peter Klimek.  Introduction to the Theory of Complex Systems. Oxford University Press, 2018<\/span><\/span><\/p>\n

Gagliolo, M. (2017). Simulate this! An Introduction to agent-based models and their power to iImprove your research practice. <\/span><\/span>International Review of Social Psychology<\/span><\/span><\/em>, <\/span><\/span>30<\/span><\/span><\/em>(1)<\/span><\/span><\/p>\n

Macal, C. M. (2016). Everything you need to know about agent-based modelling and simulation. <\/span><\/span>Journal of Simulation<\/span><\/span><\/em>, <\/span><\/span>10<\/span><\/span><\/em>(2), 144\u2013156.<\/span><\/span><\/p>\n

Smaldino, P. E., Calanchini, J., & Pickett, C. L. (2015). Theory development with agent-based models. <\/span><\/span>Organizational Psychology Review<\/span><\/span><\/em>, <\/span><\/span>5<\/span><\/span><\/em>(4), 300\u2013317.<\/span><\/span><\/p>\n

John H. Miller. Complex Adaptive Systems : An Introduction to Computational Models of Social Life. Princeton University Press, 2011<\/span><\/span><\/p>\n

Bonabeau, E. (2002). Agent-based modeling: Methods and techniques for simulating human systems. <\/span><\/span>Proceedings of the National Academy of Sciences<\/span><\/span><\/em>, <\/span><\/span>99<\/span><\/span><\/em>(suppl 3), 7280\u20137287.<\/span><\/span><\/p>\n


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\u859b\u9704, \u4e8e\u6e58\u51dd, \u5468\u5fb7\u96e8, \u5f6d\u8d85, \u738b\u6653, \u5468\u957f\u5175, \u738b\u98de\u8dc3. \u8ba1\u7b97\u5b9e\u9a8c\u65b9\u6cd5\u7684\u6eaf\u6e90\u3001\u73b0\u72b6\u4e0e\u5c55\u671b, \u81ea\u52a8\u5316\u5b66\u62a5, 2023, 49(2): 246-271.<\/span><\/span><\/p>\n

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\u519b\u4e8b\u5b66<\/span><\/span><\/h4>\n

\u5728\u591a\u667a\u80fd\u4f53\u6e38\u620f\u73af\u5883\u4e2d\u8bc4\u4f30\u5927\u8bed\u8a00\u6a21\u578b\u7684\u51b3\u7b56\u80fd\u529b\u81f3\u5173\u91cd\u8981\u3002\u672c\u6587\u63d0\u51fa\u7684 GAMA (\u03b3)-Bench \u6846\u67b6\uff0c\u901a\u8fc7\u516b\u5927\u7ecf\u5178\u535a\u5f08\u573a\u666f\u52a8\u6001\u8bc4\u4f30 LLM\uff0c\u63ed\u793a\u6a21\u578b\u5728\u7b56\u7565\u63a8\u7406\u4e0e\u6cdb\u5316\u80fd\u529b\u4e0a\u7684\u5dee\u5f02\uff0c\u4e3a\u7406\u89e3 LLM \u51b3\u7b56\u667a\u80fd\u63d0\u4f9b\u4e86\u5168\u65b0\u89c6\u89d2\u3002<\/span><\/span><\/p>\n

Huang, Jen-tse, et al. “Competing large language models in multi-agent gaming environments.” <\/span><\/span>The Thirteenth International Conference on Learning Representations<\/span><\/span><\/em>. 2025.<\/span><\/span><\/p>\n

\u5f20\u6d2a\u5e7f, et al.”\u5927\u6a21\u578b\u9a71\u52a8\u7684\u667a\u80fd\u8f85\u52a9\u51b3\u7b56\u539f\u7406\u4e0e\u5178\u578b\u5e94\u7528.”\u6307\u6325\u4e0e\u63a7\u5236\u5b66\u62a5 10.06(2024):661-668.<\/span><\/span><\/span><\/p>\n

Wenyue Hua, Lizhou Fan, Lingyao Li, et al. <\/span><\/span>War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars<\/span><\/span><\/strong>. arXiv:2311.17227<\/span><\/span><\/em>, 2024<\/span><\/span><\/p>\n

\u7f57\u4fca\u4ec1, et al.”\u667a\u80fd\u63a8\u6f14\u7efc\u8ff0\uff1a\u535a\u5f08\u8bba\u89c6\u89d2\u4e0b\u7684\u6218\u672f\u6218\u5f79\u5175\u68cb\u4e0e\u6218\u7565\u535a\u5f08.”\u7cfb\u7edf\u4eff\u771f\u5b66\u62a5 35.09(2023):1871-1894.doi:10.16182\/j.issn1004731x.joss.23-0300.<\/span><\/span><\/span><\/p>\n

\u590f\u7acb\u5e73.”\u53cc\u5c42\u535a\u5f08\u7406\u8bba\u89c6\u9608\u4e0b\u7279\u6717\u666e\u653f\u5e9c\u7684\u671d\u6838\u653f\u7b56.”\u7f8e\u56fd\u7814\u7a76 31.06(2017):123-140+8.<\/span><\/span><\/span><\/p>\n

\u5fc3\u7406\u5b66<\/span><\/span><\/h4>\n

\u4f0d\u6d77\u71d5, et al. “\u5927\u8bed\u8a00\u6a21\u578b\u7684\u60c5\u611f\u667a\u80fd\u53ca\u5176\u5fc3\u7406\u5b66\u5e94\u7528.” <\/span><\/span>\u79d1\u6280\u5bfc\u62a5<\/span><\/span><\/em> 43.3 (2025): 47-58.<\/span><\/span><\/p>\n

Nature\u5b50\u520a\u591a\u7bc7\u6700\u65b0\u6587\u7ae0\u901f\u9012\uff1a\u4e0e\u5927\u6a21\u578b\u4ea4\u4e92\u8fc7\u7a0b\u4e2d\u7684\u5fc3\u7406\u5b66<\/a><\/span>
<\/span><\/span><\/p>\n

Sharma, Ashish, et al. “Human\u2013AI collaboration enables more empathic conversations in text-based peer-to-peer mental health support.” <\/span><\/span>Nature Machine Intelligence<\/span><\/span><\/em> 5.1 (2023): 46-57.<\/span><\/span><\/p>\n

Pataranutaporn, Pat, et al. “Influencing human\u2013AI interaction by priming beliefs about AI can increase perceived trustworthiness, empathy and effectiveness.” <\/span><\/span>Nature Machine Intelligence<\/span><\/span><\/em> 5.10 (2023): 1076-1086.<\/span><\/span><\/p>\n

Steyvers, Mark, et al. “What large language models know and what people think they know.” <\/span><\/span>Nature Machine Intelligence<\/span><\/span><\/em> (2025): 1-11.<\/span><\/span><\/p>\n

Wang, Angelina, Jamie Morgenstern, and John P. Dickerson. “Large language models that replace human participants can harmfully misportray and flatten identity groups.” <\/span><\/span>Nature Machine Intelligence<\/span><\/span><\/em> (2025): 1-12.<\/span><\/span><\/p>\n

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\u96c6\u667a\u4ff1\u4e50\u90e8\u8bfb\u4e66\u4f1a<\/span><\/span><\/strong>\u662f\u9762\u5411\u5e7f\u5927\u79d1\u7814\u5de5\u4f5c\u8005\u7684\u7cfb\u5217\u8bba\u6587\u7814\u8bfb\u6d3b\u52a8\uff0c\u5176\u76ee\u7684\u662f\u5171\u540c\u6df1\u5165\u5b66\u4e60\u63a2\u8ba8\u67d0\u4e2a\u79d1\u5b66\u8bae\u9898\uff0c\u4e86\u89e3\u524d\u6cbf\u8fdb\u5c55\uff0c\u6fc0\u53d1\u79d1\u7814\u7075\u611f\uff0c\u4fc3\u8fdb\u79d1\u7814\u5408\u4f5c\uff0c\u964d\u4f4e\u79d1\u7814\u95e8\u69db\u3002<\/span><\/span><\/p>\n

\u8bfb\u4e66\u4f1a\u6d3b\u52a8\u59cb\u4e8e 2008 \u5e74\uff0c\u81f3\u4eca\u5df2\u7ecf\u6709 50 \u4f59\u4e2a\u4e3b\u9898\uff0c\u5185\u5bb9\u6db5\u76d6\u590d\u6742\u7cfb\u7edf\u3001\u4eba\u5de5\u667a\u80fd\u3001\u8111\u4e0e\u610f\u8bc6\u3001\u751f\u547d\u79d1\u5b66\u3001\u56e0\u679c\u79d1\u5b66\u3001\u9ad8\u9636\u7f51\u7edc\u7b49\u3002\u51dd\u805a\u4e86\u4f17\u591a\u4f18\u79c0\u79d1\u7814\u5de5\u4f5c\u8005\uff0c\u4fc3\u8fdb\u4e86\u79d1\u7814\u5408\u4f5c\u53d1\u8868\u8bba\u6587\uff0c\u5b75\u5316\u4e86\u8bb8\u591a\u79d1\u7814\u4ea7\u54c1\u3002\u5982\uff1a2013 \u5e74\u7684\u201c\u6df1\u5ea6\u5b66\u4e60\u201d\u8bfb\u4e66\u4f1a\u5b55\u80b2\u4e86\u5f69\u4e91\u5929\u6c14 APP\uff0c2015 \u5e74\u7684\u201c\u96c6\u4f53\u6ce8\u610f\u529b\u6d41\u201d\u8bfb\u4e66\u4f1a\u4ea7\u751f\u4e86\u4f17\u5305\u4e66\u7c4d\u300a\u8d70\u8fd12050\u300b\uff0c2020\u5e74\u7684\u5f00\u59cb\u56e0\u679c\u79d1\u5b66\u8bfb\u4e66\u4f1a\u5b55\u80b2\u4e86\u5168\u56fd\u6700\u5927\u7684\u56e0\u679c\u79d1\u5b66\u793e\u533a\u7b49\u3002<\/span><\/span><\/p>\n

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\u534f\u529e\u65b9\uff1a\u96c6\u667a\u5b66\u56ed<\/span><\/span><\/strong><\/p>\n

\u96c6\u667a\u4ff1\u4e50\u90e8<\/span><\/span><\/strong>\u6210\u7acb\u4e8e 2003 \u5e74\uff0c\u662f\u4e00\u4e2a\u4ece\u4e8b\u5b66\u672f\u7814\u7a76\u3001\u4eab\u53d7\u79d1\u5b66\u4e50\u8da3\u7684\u63a2\u7d22\u8005\u7684\u56e2\u4f53\uff0c\u4e5f\u662f\u56fd\u5185\u6700\u65e9\u7684\u7814\u7a76\u4eba\u5de5\u667a\u80fd\u3001\u590d\u6742\u7cfb\u7edf\u7684\u79d1\u5b66\u793e\u533a\u3002\u5b83\u5021\u5bfc\u4ee5\u5e73\u7b49\u5f00\u653e\u7684\u6001\u5ea6\u3001\u79d1\u5b66\u5b9e\u8bc1\u7684\u7cbe\u795e\uff0c\u8fdb\u884c\u8de8\u5b66\u79d1\u7684\u7814\u7a76\u4e0e\u4ea4\u6d41\uff0c\u529b\u56fe\u642d\u5efa\u4e00\u4e2a\u4e2d\u56fd\u7684 \u201c \u6ca1\u6709\u56f4\u5899\u7684\u7814\u7a76\u6240 \u201d\u3002\u96c6\u667a\u79d1\u5b66\u7814\u7a76\u4e2d\u5fc3\uff08\u6c11\u95f4\u975e\u8425\u5229\u4f01\u4e1a\uff09\u662f\u96c6\u667a\u4ff1\u4e50\u90e8\u7684\u8fd0\u8425\u4e3b\u4f53\uff0c\u5176\u4f7f\u547d\u4e3a\uff1a\u8425\u9020\u8de8\u5b66\u79d1\u63a2\u7d22\u5c0f\u751f\u5883\uff0c\u50ac\u5316\u590d\u6742\u6027\u79d1\u5b66\u65b0\u7406\u8bba\u3002<\/span><\/span><\/p>\n

\u96c6\u667a\u5b66\u56ed<\/span><\/span><\/strong>\u6210\u7acb\u4e8e2016\u5e74\uff0c\u662f\u96c6\u667a\u4ff1\u4e50\u90e8\u5b55\u80b2\u7684\u521b\u4e1a\u56e2\u961f\u3002\u96c6\u667a\u5b66\u56ed\u81f4\u529b\u4e8e\u4f20\u64ad\u590d\u6742\u6027\u79d1\u5b66\u3001\u4eba\u5de5\u667a\u80fd\u7b49\u524d\u6cbf\u77e5\u8bc6\u548c\u65b0\u5174\u6280\u672f\uff0c\u4fc3\u8fdb\u3001\u63a8\u52a8\u590d\u6742\u79d1\u5b66\u9886\u57df\u7684\u77e5\u8bc6\u63a2\u7d22\u4e0e\u751f\u6001\u6784\u5efa\u3002<\/span><\/span><\/p>\n

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\u70b9\u51fb\u201c\u9605\u8bfb\u539f\u6587\u201d\uff0c\u62a5\u540d\u8bfb\u4e66\u4f1a<\/span><\/span><\/section>\n<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

\u5bfc\u8bed \u5f53\u524d\u4eba\u5de5\u667a\u80fd\u9886\u57df\u6b63\u5728\u7ecf\u5386\u4e00\u573a\u4ece\u201c\u673a\u68b0\u6267\u884c\u201d\u5230\u201c\u81ea\u4e3b\u8ba4\u77e5\u201d\u7684\u6df1\u523b\u8303\u5f0f\u53d8\u9769\uff0c\u8fd9\u573a\u53d8\u9769\u6b63\u5728\u4ece\u6839\u672c\u4e0a\u91cd\u5851\u6211\u4eec\u5bf9\u667a\u80fd\u7cfb\u7edf\u7684\u7406\u89e3\u3001\u8bbe\u8ba1\u548c\u5e94\u7528\u65b9\u5f0f\u3002\u968f\u7740\u5927\u6a21\u578b\u6280\u672f\u7684\u7a81\u7834\u6027\u53d1\u5c55\u53ca\u5176\u5728\u590d\u6742\u7cfb\u7edf\u5efa\u6a21\u4e2d\u7684\u5e7f\u6cdb\u5e94\u7528\uff0c\u591a\u667a\u80fd\u4f53\u7cfb\u7edf\uff08Multi-Agent Systems, MAS\uff09\u7684\u7814\u7a76\u6b63\u7ecf\u5386\u7740\u524d\u6240\u672a\u6709\u7684\u8f6c\u578b\u2014\u2014\u4ece\u4f20\u7edf…<\/p>\n","protected":false},"author":1,"featured_media":60779,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"special":[],"_links":{"self":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/60802"}],"collection":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=60802"}],"version-history":[{"count":0,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/60802\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/media\/60779"}],"wp:attachment":[{"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=60802"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=60802"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=60802"},{"taxonomy":"special","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fspecial&post=60802"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}