\u672c\u671f\u8303\u56f4\u4e0e\u5224\u65ad\u6807\u51c6<\/p>\n
\u8fd9\u662f\u201c\u7ef4\u6210\u8bba\u7814\u7a76\u7b80\u62a5\u201d\u7684\u9996\u671f\u57fa\u7ebf\uff0c\u68c0\u7d22\u622a\u81f32026\u5e748\u670817\u65e5\u3002\u7b5b\u9009\u4f18\u5148\u7ea7\u4e0d\u662f\u70ed\u5ea6\uff0c\u800c\u662f\u6750\u6599\u662f\u5426\u63d0\u51fa\u4e86\u53ef\u68c0\u9a8c\u7684\u67b6\u6784\u3001\u6e05\u695a\u7684\u65b0\u6982\u5ff5\u6216\u8db3\u4ee5\u6539\u53d8\u95ee\u9898\u6846\u67b6\u7684\u8bba\u8bc1\u3002\u4ee5\u4e0b\u4e03\u9879\u5747\u4e3a\u8bba\u6587\u6216\u6b63\u5f0f\u5b66\u672f\u6587\u7ae0\uff1b\u65e5\u5e38\u65b0\u95fb\u3001\u4ea7\u54c1\u5ba3\u4f20\u548c\u4ec5\u4ec5\u590d\u8ff0\u6d41\u884c\u89c2\u70b9\u7684\u8bc4\u8bba\u672a\u88ab\u6536\u5165\u3002\u6bcf\u9879\u5148\u5fe0\u5b9e\u9648\u8ff0\u4f5c\u8005\u7684\u4e3b\u5f20\uff0c\u518d\u7ed9\u51fa\u4e0eGeoff\u6b63\u5728\u53d1\u5c55\u7684\u7ef4\u6210\u8bba\u6846\u67b6\u6709\u5173\u7684\u72ec\u7acb\u5224\u65ad\uff0c\u4e24\u8005\u4e0d\u6df7\u540c\u3002<\/p>\n
Mi-Memory: A Lifecycle Memory Framework for Personal AI<\/p>\n
\u4f5c\u8005\uff1aXule Liu\u7b49\u5341\u516b\u4f4d\u4f5c\u8005\u3002\u53d1\u5e03\u65e5\u671f\uff1a2026\u5e747\u670821\u65e5\u3002\u539f\u6587\uff1ahttps:\/\/arxiv.org\/abs\/2607.18975<\/p>\n
\u6838\u5fc3\u4e3b\u5f20\uff1a\u4e2a\u4ebaAI\u5c06\u8de8\u8d8a\u624b\u673a\u3001\u6c7d\u8f66\u3001\u5bb6\u5ead\u3001\u7a7f\u6234\u8bbe\u5907\u3001\u6444\u50cf\u5934\u4e0e\u5de5\u5177\u8fde\u7eed\u5de5\u4f5c\uff0c\u56e0\u6b64\u8bb0\u5fc6\u4e0d\u80fd\u53ea\u662f\u65e7\u5bf9\u8bdd\u7684\u7f13\u5b58\u3002\u8bba\u6587\u628a\u8bb0\u5fc6\u5b9a\u4e49\u4e3a\u201c\u8fde\u7eed\u6027\u4e0e\u6cbb\u7406\u7684\u5e95\u5c42\u7ed3\u6784\u201d\uff0c\u5e76\u4ee5\u7ed3\u6784\u3001\u6269\u5c55\u3001\u6f14\u5316\u3001\u90e8\u7f72\u56db\u79cd\u89d2\u8272\u7ec4\u7ec7\u5168\u751f\u547d\u5468\u671f\uff1b\u8bc1\u636e\u8f7d\u8377\u3001\u8bca\u65ad\u8f68\u8ff9\u3001\u7b56\u7565\u8bb0\u5f55\u4e0e\u95e8\u63a7\uff0f\u56de\u6eda\u8bb0\u5f55\u8d2f\u7a7f\u5176\u95f4\u3002<\/p>\n
\u771f\u6b63\u7684\u65b0\u610f\uff1a\u5b83\u628a\u6765\u6e90\u8eab\u4efd\u3001\u53ef\u7ea0\u6b63\u6027\u3001\u9057\u5fd8\u3001\u7b56\u7565\u6f14\u5316\u3001\u8fb9\u4e91\u90e8\u7f72\u548c\u5ba1\u8ba1\u653e\u8fdb\u540c\u4e00\u6846\u67b6\u3002\u4e0e\u5355\u7eaf\u63d0\u9ad8\u68c0\u7d22\u547d\u4e2d\u7387\u76f8\u6bd4\uff0c\u91cd\u70b9\u4ece\u201c\u8bb0\u4f4f\u4ec0\u4e48\u201d\u79fb\u5230\u201c\u4e00\u4e2a\u957f\u671f\u7cfb\u7edf\u5982\u4f55\u6709\u6839\u636e\u5730\u6539\u53d8\u201d\u3002\u8fd9\u6b63\u662f\u4e2a\u4eba\u5916\u90e8\u5927\u8111\u4ece\u5de5\u5177\u8d70\u5411\u57fa\u7840\u8bbe\u65bd\u65f6\u5fc5\u987b\u9762\u5bf9\u7684\u53d8\u5316\u3002<\/p>\n
\u5bf9\u7ef4\u6210\u8bba\u7684\u610f\u4e49\uff1a\u5b83\u4e3a\u201c\u8de8\u65f6\u95f4\u7ef4\u6301\u540c\u4e00\u7cfb\u7edf\u800c\u53c8\u5141\u8bb8\u66f4\u65b0\u201d\u63d0\u4f9b\u4e86\u5de5\u7a0b\u5bf9\u5e94\u7269\u3002\u7ef4\u6210\u8bba\u53ef\u501f\u6b64\u533a\u5206\u8d44\u6599\u8fde\u7eed\u3001\u5224\u65ad\u8fde\u7eed\u4e0e\u4e3b\u4f53\u8fde\u7eed\uff1b\u4e09\u8005\u76f8\u5173\uff0c\u5374\u4e0d\u80fd\u4e92\u76f8\u66ff\u4ee3\u3002\u5c24\u5176\u503c\u5f97\u5438\u6536\u7684\u662f\u6709\u6765\u6e90\u7684\u8bc1\u636e\u3001\u53ef\u89c1\u7684\u7b56\u7565\u53d8\u5316\u548c\u53ef\u9006\u7684\u6f14\u5316\u95e8\u69db\u3002<\/p>\n
\u5c40\u9650\uff1a\u8bba\u6587\u628a\u8bb8\u591a\u6210\u719f\u5ea6\u4e0d\u540c\u7684\u6a21\u5757\u88c5\u8fdb\u4e00\u4e2a\u603b\u6846\u67b6\uff0c\u90e8\u5206\u8bc1\u636e\u4ecd\u662f\u5185\u90e8\u3001\u521d\u6b65\u6216\u8bbe\u8ba1\u5c42\u9762\u7684\u7ed3\u679c\u3002\u5ba1\u8ba1\u8bb0\u5f55\u80fd\u4fdd\u8bc1\u8fc7\u7a0b\u53ef\u8ffd\u8e2a\uff0c\u5374\u4e0d\u80fd\u81ea\u52a8\u4fdd\u8bc1\u8bb0\u5fc6\u5728\u610f\u4e49\u4e0a\u6b63\u786e\uff0c\u66f4\u4e0d\u80fd\u56de\u7b54\u54ea\u4e9b\u9057\u5fd8\u6709\u5229\u4e8e\u4eba\u683c\u6210\u957f\u3002\u9605\u8bfb\u7ed3\u8bba\uff1a\u5fc5\u8bfb\u3002<\/p>\n
SelfMem: Self-Optimizing Memory for AI Agents<\/p>\n
\u4f5c\u8005\uff1aShu Yang\u3001Junchao Wu\u3001Derek F. Wong\u3001Di Wang\u3002\u53d1\u5e03\u65e5\u671f\uff1a2026\u5e747\u67084\u65e5\u3002\u539f\u6587\uff1ahttps:\/\/arxiv.org\/abs\/2607.03726<\/p>\n
\u6838\u5fc3\u4e3b\u5f20\uff1a\u56fa\u5b9a\u7684\u5b58\u50a8\u3001\u68c0\u7d22\u548c\u538b\u7f29\u65b9\u6848\u65e0\u6cd5\u9002\u5e94\u4e0d\u540c\u4efb\u52a1\u3002SelfMem\u7ed9\u4ee3\u7406\u4e00\u5957\u8bb0\u5fc6\u5de5\u5177\u548c\u53cd\u9988\u4fe1\u53f7\uff0c\u8ba9\u5b83\u63a2\u7d22\u3001\u8bc4\u4f30\u5e76\u6539\u8fdb\u81ea\u5df1\u7684\u8bb0\u5fc6\u7b56\u7565\uff1b\u5728\u5341\u4e07\u81f3\u4e00\u767e\u4e07\u8bcd\u5143\u7684BEAM\u6d4b\u8bd5\u4e2d\uff0c\u4f5c\u8005\u62a5\u544a\u5176\u663e\u8457\u8d85\u8fc7\u6700\u5f3a\u57fa\u7ebf\u3002<\/p>\n
\u771f\u6b63\u7684\u65b0\u610f\uff1a\u88ab\u4f18\u5316\u7684\u4e0d\u518d\u53ea\u662f\u8bb0\u5fc6\u5185\u5bb9\uff0c\u800c\u662f\u201c\u5982\u4f55\u8bb0\u5fc6\u201d\u7684\u7b56\u7565\u3002\u8bb0\u5fc6\u4ece\u88ab\u52a8\u6570\u636e\u5e93\u53d8\u6210\u5143\u5c42\u9762\u7684\u9002\u5e94\u8fc7\u7a0b\uff0c\u8fd9\u6bd4\u4e0d\u65ad\u6269\u5f20\u4e0a\u4e0b\u6587\u7a97\u53e3\u66f4\u63a5\u8fd1\u6301\u7eed\u8ba4\u77e5\u7cfb\u7edf\u3002<\/p>\n
\u5bf9\u7ef4\u6210\u8bba\u7684\u610f\u4e49\uff1a\u5b83\u63d0\u793a\u7cfb\u7edf\u4e00\u81f4\u6027\u4e0d\u80fd\u7b49\u540c\u4e8e\u7ed3\u6784\u9759\u6b62\u3002\u4e00\u4e2a\u7ef4\u6210\u7cfb\u7edf\u53ef\u80fd\u901a\u8fc7\u8c03\u6574\u9009\u62e9\u3001\u538b\u7f29\u548c\u53ec\u56de\u89c4\u5219\u6765\u7ef4\u6301\u81ea\u8eab\u3002\u4f46\u8fd9\u4e5f\u63d0\u51fa\u5173\u952e\u533a\u5206\uff1a\u4efb\u52a1\u5f97\u5206\u9a71\u52a8\u7684\u81ea\u4f18\u5316\uff0c\u662f\u5426\u7b49\u4e8e\u5bf9\u4e00\u4e2a\u4eba\u7684\u4ef7\u503c\u3001\u627f\u8bfa\u548c\u957f\u671f\u65b9\u5411\u4fdd\u6301\u5fe0\u5b9e\uff1f\u7ef4\u6210\u8bba\u9700\u8981\u4e3a\u7b56\u7565\u6f14\u5316\u52a0\u5165\u8eab\u4efd\u8fb9\u754c\u4e0e\u89c4\u8303\u6027\u7ea6\u675f\u3002<\/p>\n
\u5c40\u9650\uff1a\u7ed3\u679c\u96c6\u4e2d\u4e8e\u5355\u4e00\u57fa\u51c6\uff0c\u53cd\u9988\u4fe1\u53f7\u672c\u8eab\u89c4\u5b9a\u4e86\u4ec0\u4e48\u7b97\u201c\u597d\u8bb0\u5fc6\u201d\u3002\u5982\u679c\u76ee\u6807\u72ed\u7a84\uff0c\u7cfb\u7edf\u53ef\u80fd\u66f4\u6709\u6548\u5730\u9057\u5fd8\u53cd\u4f8b\u3001\u5f02\u8bae\u6216\u4f4e\u9891\u4f46\u51b3\u5b9a\u8eab\u4efd\u7684\u4e8b\u4ef6\u3002\u9605\u8bfb\u7ed3\u8bba\uff1a\u503c\u5f97\u9605\u8bfb\u3002<\/p>\n
Epistemic laundering: generative AI and the naturalization of misrecognition<\/p>\n
\u4f5c\u8005\uff1aTheodore Kalaitzidis\u3002\u53d1\u5e03\u65e5\u671f\uff1a2026\u5e744\u670830\u65e5\uff1b2026\u5e748\u67084\u65e5\u53d1\u5e03\u66f4\u6b63\uff0c\u4e3b\u8981\u66f4\u65b0\u4f5c\u8005\u5f15\u7528\u3002\u539f\u6587\uff1ahttps:\/\/link.springer.com\/article\/10.1007\/s00146-026-03068-9<\/p>\n
\u6838\u5fc3\u4e3b\u5f20\uff1a\u77e5\u8bc6\u7cfb\u7edf\u672a\u5fc5\u56e0\u77db\u76fe\u800c\u5d29\u6e83\uff1b\u5b83\u4eec\u53ef\u80fd\u5438\u6536\u77db\u76fe\uff0c\u5e76\u628a\u504f\u79fb\u91cd\u65b0\u5305\u88c5\u6210\u7a33\u5b9a\u6027\u3002\u4f5c\u8005\u79f0\u8fd9\u4e00\u673a\u5236\u4e3a\u201c\u8ba4\u8bc6\u6d17\u767d\u201d\uff1a\u751f\u6210\u5f0fAI\u7684\u67b6\u6784\u628a\u53ef\u4e89\u8bba\u7684\u54f2\u5b66\u627f\u8bfa\u9690\u85cf\u4e3a\u6280\u672f\u4e8b\u5b9e\uff0c\u800c\u5236\u5ea6\u8bdd\u8bed\u53c8\u628a\u8fd9\u79cd\u7ed3\u679c\u81ea\u7136\u5316\u4e3a\u8fdb\u6b65\uff0c\u4ece\u800c\u5f62\u6210\u81ea\u6211\u4fdd\u62a4\u7684\u8ba4\u8bc6\u5c01\u95ed\u3002<\/p>\n
\u771f\u6b63\u7684\u65b0\u610f\uff1a\u6587\u7ae0\u628aLatour\u7684\u4e8b\u5b9e\u5efa\u6784\u3001Bourdieu\u7684\u8bef\u8ba4\u3001Foucault\u7684\u771f\u7406\u4f53\u5236\u548c\u81ea\u521b\u751f\u5f0f\u5c01\u95ed\u8fde\u63a5\u6210\u4e00\u4e2a\u9012\u5f52\u673a\u5236\uff0c\u5e76\u5f3a\u8c03\u77db\u76fe\u5982\u4f55\u88ab\u8f6c\u5316\u4e3a\u5408\u6cd5\u6027\u7684\u8d44\u6e90\u3002\u516b\u6708\u66f4\u6b63\u4e0d\u6539\u53d8\u5b9e\u8d28\u8bba\u70b9\uff0c\u4f46\u4f7f\u8fd9\u4e00\u6b64\u524d\u53d1\u8868\u7684\u6587\u7ae0\u5728\u672c\u671f\u91cd\u65b0\u6d6e\u73b0\u3002<\/p>\n
\u5bf9\u7ef4\u6210\u8bba\u7684\u610f\u4e49\uff1a\u8fd9\u662f\u5bf9\u201c\u7cfb\u7edf\u8fde\u8d2f\u6027\u201d\u6700\u91cd\u8981\u7684\u53cd\u9762\u63d0\u9192\u3002\u8fde\u8d2f\u4e0d\u5fc5\u7136\u662f\u771f\u5b9e\uff0c\u4e5f\u53ef\u80fd\u53ea\u662f\u7cfb\u7edf\u6210\u529f\u6d88\u5316\u4e86\u53cd\u8bc1\u3002\u82e5\u7ef4\u6210\u8bba\u628a\u6301\u7eed\u4e0e\u6574\u5408\u4f5c\u4e3a\u4f18\u70b9\uff0c\u5c31\u5fc5\u987b\u540c\u65f6\u8bf4\u660e\u5f00\u653e\u6027\uff1a\u54ea\u4e9b\u6270\u52a8\u5fc5\u987b\u4fdd\u7559\u4e3a\u5c1a\u672a\u89e3\u51b3\u7684\u5f02\u7269\uff0c\u54ea\u4e9b\u53cd\u9988\u6709\u6743\u6539\u53d8\u7cfb\u7edf\uff0c\u4ec0\u4e48\u8ff9\u8c61\u8868\u660e\u4e00\u81f4\u5df2\u7ecf\u53d8\u6210\u5c01\u95ed\u3002<\/p>\n
\u5c40\u9650\uff1a\u6982\u5ff5\u6574\u5408\u5f3a\uff0c\u4f46\u7ecf\u9a8c\u68c0\u9a8c\u5f31\uff1b\u4f5c\u8005\u6709\u65f6\u628a\u5c01\u95ed\u7684\u8ba1\u7b97\u67b6\u6784\u3001\u7edf\u8ba1\u5b66\u4e60\u7684\u9650\u5236\u548cAI\u673a\u6784\u8bdd\u8bed\u538b\u6210\u540c\u4e00\u4e2a\u5c42\u9762\u3002\u5e76\u975e\u6240\u6709\u5185\u90e8\u8868\u5f81\u90fd\u662f\u201c\u8bef\u8ba4\u201d\uff0c\u4e5f\u5e76\u975e\u6240\u6709\u7a33\u5b9a\u5316\u90fd\u662f\u6d17\u767d\u3002\u9605\u8bfb\u7ed3\u8bba\uff1a\u5fc5\u8bfb\u3002<\/p>\n
The relational\u2013epistemic stance: generative AI as a dynamic transitional object<\/p>\n
\u4f5c\u8005\uff1aRoi Ezra\u3001Moshe Mishali\u3002\u53d1\u5e03\u65e5\u671f\uff1a2026\u5e743\u670819\u65e5\u3002\u539f\u6587\uff1ahttps:\/\/link.springer.com\/article\/10.1007\/s00146-026-02984-0<\/p>\n
\u6838\u5fc3\u4e3b\u5f20\uff1a\u540c\u4e00\u79cd\u751f\u6210\u5f0fAI\u4e92\u52a8\uff0c\u6709\u65f6\u589e\u957f\u4eba\u7684\u80fd\u529b\uff0c\u6709\u65f6\u53ea\u5236\u9020\u80fd\u529b\u7684\u903c\u771f\u8868\u6f14\u3002\u4f5c\u8005\u501fWinnicott\u3001Bion\u548cBollas\u7684\u5bf9\u8c61\u5173\u7cfb\u7406\u8bba\u63d0\u51fa\u201c\u52a8\u6001\u8fc7\u6e21\u6027\u5ba2\u4f53\u201d\uff1a\u5173\u952e\u8fc7\u7a0b\u662f\u628aAI\u751f\u6210\u6750\u6599\u8f6c\u5316\u4e3a\u81ea\u5df1\u80fd\u591f\u627f\u62c5\u7684\u601d\u60f3\uff1b\u76f8\u53cd\u529b\u91cf\u5219\u662f\u7ed5\u8fc7\u8fd9\u79cd\u5de5\u4f5c\u7684\u201c\u8ba4\u8bc6\u8bf1\u60d1\u201d\u3002<\/p>\n
\u771f\u6b63\u7684\u65b0\u610f\uff1a\u6587\u7ae0\u6ca1\u6709\u7ee7\u7eed\u4e89\u8bbaAI\u7a76\u7adf\u662f\u5de5\u5177\u3001\u4f19\u4f34\u8fd8\u662f\u5fc3\u667a\u5ef6\u4f38\uff0c\u800c\u662f\u63d0\u51fa\u53d1\u5c55\u6027\u5224\u636e\uff1a\u4e92\u52a8\u4e4b\u540e\uff0c\u80fd\u529b\u662f\u5426\u6210\u4e3a\u4f7f\u7528\u8005\u53ef\u72ec\u7acb\u7ef4\u6301\u7684\u7ed3\u6784\u3002\u5b83\u628a\u8ba4\u77e5\u5378\u8f7d\u95ee\u9898\u4ece\u5373\u65f6\u8868\u73b0\u63a8\u8fdb\u5230\u4e3b\u4f53\u5f62\u6210\u3002<\/p>\n
\u5bf9\u7ef4\u6210\u8bba\u7684\u610f\u4e49\uff1a\u8fd9\u4e0e\u4e2a\u4ebaAI\u5916\u90e8\u5927\u8111\u7684\u6838\u5fc3\u96be\u9898\u76f4\u63a5\u76f8\u63a5\u3002\u5916\u90e8\u7ed3\u6784\u53ea\u6709\u88ab\u5438\u6536\u3001\u6821\u6b63\u5e76\u91cd\u65b0\u8868\u8fbe\uff0c\u624d\u53ef\u80fd\u53c2\u4e0e\u4e2a\u4eba\u7cfb\u7edf\u7684\u7ef4\u6210\uff1b\u5982\u679c\u8f93\u51fa\u53ea\u662f\u88ab\u501f\u7528\uff0c\u7cfb\u7edf\u8868\u9762\u66f4\u6d41\u7545\uff0c\u5185\u90e8\u5374\u53ef\u80fd\u66f4\u7a7a\u3002\u5b83\u4e5f\u652f\u6301\u4e00\u4e2a\u91cd\u8981\u547d\u9898\uff1a\u4eba\u4e0eAI\u7684\u5173\u7cfb\u65b9\u5f0f\uff0c\u6bd4\u7ed9AI\u8d34\u4e0a\u7684\u672c\u4f53\u6807\u7b7e\u66f4\u80fd\u9884\u6d4b\u53d1\u5c55\u7ed3\u679c\u3002<\/p>\n
\u5c40\u9650\uff1a\u8fd9\u662f\u7406\u8bba\u5efa\u6784\uff0c\u4e0d\u662f\u7ecf\u9a8c\u7814\u7a76\u3002\u6240\u8c13\u201c\u81ea\u5df1\u7684\u601d\u60f3\u201d\u5982\u4f55\u64cd\u4f5c\u5316\u3001\u72ec\u7acb\u80fd\u529b\u4fdd\u6301\u591a\u4e45\u3001\u5171\u540c\u751f\u6210\u662f\u5426\u4e00\u5b9a\u8981\u56de\u6536\u5230\u4e2a\u4eba\u5185\u90e8\uff0c\u90fd\u4ecd\u5f85\u68c0\u9a8c\u3002\u5176\u5fc3\u7406\u5206\u6790\u8bcd\u6c47\u4e5f\u53ef\u80fd\u628a\u793e\u4f1a\u5236\u5ea6\u548c\u754c\u9762\u8bbe\u8ba1\u8fc7\u5ea6\u4e2a\u4eba\u5316\u3002\u9605\u8bfb\u7ed3\u8bba\uff1a\u5fc5\u8bfb\u3002<\/p>\n
Machine, organism and language: a comparative epistemology of AI models<\/p>\n
\u4f5c\u8005\uff1aMatteo Pasquinelli\u3002\u53d1\u5e03\u65e5\u671f\uff1a2026\u5e746\u67085\u65e5\u3002\u539f\u6587\uff1ahttps:\/\/link.springer.com\/article\/10.1007\/s00146-026-03094-7<\/p>\n
\u6838\u5fc3\u4e3b\u5f20\uff1a\u73b0\u4ee3AI\u4e0d\u662f\u7eaf\u6570\u5b66\u6210\u5c31\uff0c\u4e5f\u4e0d\u53ea\u662f\u751f\u7269\u667a\u80fd\u7684\u4eff\u5236\uff0c\u800c\u662f\u673a\u5668\u3001\u673a\u4f53\u4e0e\u8bed\u8a00\u4e09\u79cd\u77e5\u8bc6\u8303\u5f0f\u7684\u6c47\u6d41\u3002AI\u5b9e\u9645\u81ea\u52a8\u5316\u7684\u662f\u6c89\u6dc0\u5728\u4eba\u7c7b\u5408\u4f5c\u3001\u52b3\u52a8\u5206\u5de5\u548c\u6587\u5316\u4e2d\u7684\u5173\u7cfb\u7ed3\u6784\uff1b\u56e0\u6b64\uff0c\u5b83\u4e5f\u662f\u793e\u4f1a\u6574\u4f53\u7684\u4e00\u79cd\u6a21\u578b\u3002<\/p>\n
\u771f\u6b63\u7684\u65b0\u610f\uff1a\u6587\u7ae0\u628a\u54f2\u5b66\u6280\u672f\u53f2\u4e2d\u5e38\u89c1\u7684\u201c\u673a\u4f53\u2014\u673a\u5668\u201d\u8c31\u7cfb\u4e0e\u8f83\u5c11\u540c\u65f6\u5904\u7406\u7684\u201c\u8bed\u8a00\u2014\u673a\u5668\u201d\u8c31\u7cfb\u5e76\u7f6e\uff0c\u5e76\u8ffd\u8e2a\u8fd9\u4e9b\u6bd4\u55bb\u5982\u4f55\u4ece\u793e\u4f1a\u79e9\u5e8f\u8fdb\u5165\u79d1\u5b66\u6a21\u578b\u3002\u5b83\u628aAI\u7684\u5bf9\u8c61\u4ece\u5b64\u7acb\u88c5\u7f6e\u6539\u5199\u4e3a\u793e\u4f1a\u5173\u7cfb\u7684\u6280\u672f\u51dd\u7ed3\u3002<\/p>\n
\u5bf9\u7ef4\u6210\u8bba\u7684\u610f\u4e49\uff1a\u8fd9\u80fd\u9632\u6b62\u628a\u7cfb\u7edf\u4e00\u81f4\u6027\u7406\u89e3\u4e3a\u7eaf\u5185\u90e8\u5c5e\u6027\u3002AI\u7684\u7ed3\u6784\u6765\u81ea\u66f4\u5927\u7684\u52b3\u52a8\u3001\u8bed\u8a00\u3001\u5236\u5ea6\u4e0e\u6743\u529b\u7f51\u7edc\uff1b\u4e2a\u4eba\u5916\u90e8\u5927\u8111\u540c\u6837\u4f1a\u628a\u8fd9\u4e9b\u5173\u7cfb\u5e26\u5165\u81ea\u6211\u3002\u7ef4\u6210\u8bba\u82e5\u8ba8\u8bba\u6280\u672f\u2014\u4eba\u7684\u8026\u5408\uff0c\u5c31\u5fc5\u987b\u8ffd\u8e2a\u7ef4\u6301\u7cfb\u7edf\u7684\u793e\u4f1a\u6765\u6e90\uff0c\u800c\u4e0d\u80fd\u53ea\u63cf\u5199\u7528\u6237\u4e0e\u6a21\u578b\u4e4b\u95f4\u7684\u53cc\u8fb9\u5173\u7cfb\u3002<\/p>\n
\u5c40\u9650\uff1a\u5b8f\u5927\u7684\u8c31\u7cfb\u5177\u6709\u89e3\u91ca\u529b\uff0c\u4e5f\u5bb9\u6613\u8ba9\u4e0d\u540c\u5386\u53f2\u56e0\u679c\u88ab\u76f8\u4f3c\u7ed3\u6784\u66ff\u4ee3\u3002\u4f5c\u8005\u504f\u5411\u52b3\u52a8\u4e0e\u793e\u4f1a\u79e9\u5e8f\u7684\u5916\u90e8\u89e3\u91ca\uff0c\u8f83\u5c11\u5904\u7406\u6a21\u578b\u5185\u90e8\u673a\u5236\u4f55\u65f6\u4ea7\u751f\u4e0d\u53ef\u7531\u8d77\u6e90\u76f4\u63a5\u63a8\u51fa\u7684\u65b0\u80fd\u529b\u3002\u9605\u8bfb\u7ed3\u8bba\uff1a\u503c\u5f97\u9605\u8bfb\u3002<\/p>\n
Toward Criteria for Artificial Self-Consciousness: Unity, Normativity, and Agency<\/p>\n
\u4f5c\u8005\uff1aB. Scot Rousse\u3002\u53d1\u5e03\u65e5\u671f\uff1a2026\u5e745\u670818\u65e5\u3002\u539f\u6587\uff1ahttps:\/\/ojs.aaai.org\/index.php\/AAAI-SS\/article\/view\/42563<\/p>\n
\u6838\u5fc3\u4e3b\u5f20\uff1aAI\u610f\u8bc6\u8ba8\u8bba\u5e38\u628a\u524d\u53cd\u601d\u7684\u4f53\u9a8c\u89c9\u77e5\u4e0e\u53cd\u601d\u6027\u7684\u81ea\u6211\u610f\u8bc6\u6df7\u4e3a\u4e00\u8c08\u3002\u4f5c\u8005\u628a\u540e\u8005\u5206\u6790\u4e3a\u7edf\u4e00\u7acb\u573a\u3001\u89c4\u8303\u6027\u4e0e\u80fd\u52a8\u6027\uff1a\u4e3b\u4f53\u80fd\u591f\u5f62\u6210\u627f\u8bfa\uff0c\u8ba9\u627f\u8bfa\u8de8\u65f6\u95f4\u6301\u7eed\uff0c\u53d1\u73b0\u51b2\u7a81\uff0c\u5e76\u56e0\u7406\u7531\u548c\u9519\u8bef\u800c\u4fee\u6b63\u3002<\/p>\n
\u771f\u6b63\u7684\u65b0\u610f\uff1a\u6587\u7ae0\u6ca1\u6709\u63d0\u51fa\u610f\u8bc6\u68c0\u6d4b\u5668\uff0c\u800c\u662f\u628a\u81ea\u6211\u610f\u8bc6\u91cd\u8ff0\u4e3a\u201c\u8ba4\u8bc6\u4e0a\u7684\u53ef\u95ee\u8d23\u7ed3\u6784\u201d\u3002\u8fd9\u4f7f\u8ba8\u8bba\u4ece\u7cfb\u7edf\u4f1a\u4e0d\u4f1a\u8bf4\u201c\u6211\u201d\uff0c\u8f6c\u5411\u5b83\u662f\u5426\u62e5\u6709\u53ef\u6301\u7eed\u3001\u53ef\u51b2\u7a81\u3001\u53ef\u4fee\u8ba2\u7684\u627f\u8bfa\u7ec4\u7ec7\u3002<\/p>\n
\u5bf9\u7ef4\u6210\u8bba\u7684\u610f\u4e49\uff1a\u7edf\u4e00\u3001\u65f6\u95f4\u8fde\u7eed\u3001\u89c4\u8303\u7ea6\u675f\u4e0e\u7ea0\u9519\u6b63\u597d\u6784\u6210\u53ef\u4e0e\u7ef4\u6210\u8bba\u5bf9\u8bdd\u7684\u7ed3\u6784\u8f74\u3002\u4f46\u8fd9\u91cc\u5fc5\u987b\u4fdd\u6301\u533a\u522b\uff1aRousse\u662f\u5728\u63d0\u51fa\u53cd\u601d\u6027\u81ea\u6211\u610f\u8bc6\u7684\u5224\u636e\uff1b\u7ef4\u6210\u8bba\u53ef\u4ee5\u7528\u8fd9\u4e9b\u5224\u636e\u5206\u6790\u4e3b\u4f53\u5982\u4f55\u7ef4\u6301\uff0c\u5374\u4e0d\u80fd\u56e0\u6b64\u5ba3\u79f0\u4efb\u4f55\u6ee1\u8db3\u529f\u80fd\u6761\u4ef6\u7684\u7cfb\u7edf\u5df2\u7ecf\u5177\u6709\u4f53\u9a8c\u3002<\/p>\n
\u5c40\u9650\uff1a\u529f\u80fd\u2014\u89c4\u8303\u7ed3\u6784\u4e0e\u73b0\u8c61\u610f\u8bc6\u4e4b\u95f4\u7684\u5173\u7cfb\u4ecd\u672a\u89e3\u51b3\uff1b\u201c\u89c4\u8303\u201d\u4e5f\u53ef\u80fd\u53ea\u662f\u5916\u90e8\u8bbe\u8ba1\u8005\u65bd\u52a0\u7684\u89c4\u5219\u3002\u77ed\u7bc7\u4f1a\u8bae\u8bba\u6587\u63d0\u4f9b\u7684\u662f\u6e05\u6670\u6846\u67b6\uff0c\u800c\u975e\u5145\u5206\u8bba\u8bc1\u6216\u5b9e\u8bc1\u6807\u51c6\u3002\u9605\u8bfb\u7ed3\u8bba\uff1a\u503c\u5f97\u9605\u8bfb\u3002<\/p>\n
Consciousness, creativity, and understanding are not obstacles to machine intelligence<\/p>\n
\u4f5c\u8005\uff1aRenne Pesonen\u3001Samuli Reijula\u3002\u53d1\u5e03\u65e5\u671f\uff1a2026\u5e746\u670819\u65e5\u3002\u539f\u6587\uff1ahttps:\/\/link.springer.com\/article\/10.1007\/s11229-026-05655-1<\/p>\n
\u6838\u5fc3\u4e3b\u5f20\uff1a\u610f\u8bc6\u5e76\u4e0d\u662f\u667a\u80fd\u7684\u5fc5\u8981\u6761\u4ef6\uff1b\u521b\u9020\u529b\u4e0e\u7406\u89e3\u5e94\u88ab\u89c6\u4e3a\u539f\u5219\u4e0a\u53ef\u7531\u673a\u5668\u5b9e\u73b0\u7684\u529f\u80fd\u7279\u5f81\u3002\u4f5c\u8005\u8ba4\u4e3a\uff0c\u8bb8\u591a\u5426\u8ba4\u673a\u5668\u667a\u80fd\u7684\u8bba\u8bc1\u5938\u5927\u4e86\u4eba\u7684\u7406\u6027\u3001\u7406\u89e3\u4e0e\u539f\u521b\u6027\uff0c\u540c\u65f6\u628a\u7f3a\u4e4f\u4ea4\u5f80\u610f\u56fe\u6216\u80fd\u52a8\u6027\u9519\u8bef\u5730\u5f53\u6210\u7f3a\u4e4f\u7406\u89e3\u3002<\/p>\n
\u771f\u6b63\u7684\u65b0\u610f\uff1a\u6587\u7ae0\u6700\u6709\u529b\u7684\u8f6c\u5411\u4e0d\u662f\u8d5e\u7f8eAI\uff0c\u800c\u662f\u964d\u4f4e\u5bf9\u4eba\u7c7b\u8ba4\u77e5\u7684\u6d6a\u6f2b\u5316\u9884\u8bbe\u3002\u5b83\u628a\u673a\u5668\u662f\u5426\u667a\u80fd\u7684\u95ee\u9898\u4e0e\u673a\u5668\u662f\u5426\u6709\u610f\u8bc6\u3001\u662f\u5426\u662f\u5b8c\u6574\u4e3b\u4f53\u5206\u5f00\uff0c\u5e76\u7528\u4eba\u7c7b\u7684\u504f\u8bef\u3001\u4e8b\u540e\u5408\u7406\u5316\u548c\u7ec4\u5408\u6027\u521b\u9020\u6765\u538b\u7f29\u6240\u8c13\u4e0d\u53ef\u903e\u8d8a\u7684\u9e3f\u6c9f\u3002<\/p>\n
\u5bf9\u7ef4\u6210\u8bba\u7684\u610f\u4e49\uff1a\u8fd9\u8feb\u4f7f\u7ef4\u6210\u8bba\u907f\u514d\u628a\u610f\u8bc6\u3001\u667a\u80fd\u3001\u7406\u89e3\u3001\u80fd\u52a8\u6027\u548c\u4e3b\u4f53\u8fde\u7eed\u6027\u6346\u6210\u4e00\u5305\u3002\u4e0d\u540c\u7cfb\u7edf\u80fd\u529b\u53ef\u80fd\u4ee5\u4e0d\u540c\u7ec4\u5408\u51fa\u73b0\u3002\u7ef4\u6210\u8bba\u7684\u8d21\u732e\u5e94\u662f\u63cf\u8ff0\u8fd9\u4e9b\u80fd\u529b\u5982\u4f55\u5171\u540c\u7ef4\u6301\u4e00\u4e2a\u7cfb\u7edf\uff0c\u800c\u4e0d\u662f\u5148\u9a8c\u89c4\u5b9a\u53ea\u6709\u4eba\u7c7b\u5f0f\u6574\u4f53\u624d\u7b97\u667a\u80fd\u3002<\/p>\n
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