{"id":41166,"date":"2024-05-10T11:00:28","date_gmt":"2024-05-10T03:00:28","guid":{"rendered":"https:\/\/www.sdc.org.tw\/product\/platograph-%e6%9f%8f%e6%8b%89%e5%9c%96%e8%ad%9c%e7%b3%bb%e7%b5%b1\/"},"modified":"2025-09-12T17:00:04","modified_gmt":"2025-09-12T09:00:04","slug":"platograph-%e6%9f%8f%e6%8b%89%e5%9c%96%e8%ad%9c%e7%b3%bb%e7%b5%b1","status":"publish","type":"product","link":"https:\/\/www.sdc.org.tw\/111-114\/product\/platograph-%e6%9f%8f%e6%8b%89%e5%9c%96%e8%ad%9c%e7%b3%bb%e7%b5%b1\/","title":{"rendered":"PLATOGRAPH \u67cf\u62c9\u5716\u8b5c\u7cfb\u7d71"},"content":{"rendered":"<p>\u67cf\u62c9\u5716\u8b5c Platograph\uff1a\u500b\u4eba\u5316\u77e5\u8b58\u5eab(PKB\uff1a Personalized Knowledge Base)\u5efa\u69cb\u8edf\u9ad4\u7cfb\u7d71 \u2013<br \/>\n\u7d50\u5408AI\u81ea\u7136\u8a9e\u8a00\u8655\u7406(Natural Language Processing) \u3001 \u77e5\u8b58\u5716\u8b5c(Knowledge Graph)\u8207\u77e9\u9663\/\u5f35\u91cf(Matrix\/Tensor)\u6a21\u64ec\u8a08\u7b97\uff0c\u67cf\u62c9\u5716\u8b5c\u7cfb\u7d71\u5efa\u69cb\u51fa\u6e96\u5ee3\u7fa9\u4eba\u5de5\u667a\u6167(AGI) \u7dda\u4e0a\u8f14\u52a9\u5b78\u7fd2\u6a5f\u5668\u4eba\uff0c\u5354\u52a9\u4f7f\u7528\u8005\u6574\u5408\u7d50\u69cb\u6027\u601d\u7dad\u8207\u95dc\u9375\u6027\u601d\u7dad\u8108\u7d61\uff0c \u8b93\u6bcf\u500b\u4f7f\u7528\u8005\u5728\u96f2\u7aef\u4e0a\u5efa\u69cb\u51fa\u7684\u500b\u4eba\u5316\u77e5\u8b58\u5eabPKB (Personalized Knowledge Base)\uff0c\u4ee5\u6210\u70ba\u8f14\u52a9\u5b78\u7fd2\u5275\u4f5c\u7684\u201c\u5099\u8166\u201d\uff0c\u9032\u4e00\u6b65\u8b93\u5168\u9ad4\u4f7f\u7528\u8005\u5171\u5b78\u5171\u5efa\u6a5f\u69cb\u7684&#8221;\u6578\u4f4d\u5927\u8166&#8221; \uff0c\u4f8b\u5982\u4f01\u696d\u7684\u7814\u767c\u7522\u54c1\u3001\u7814\u767c\u5716\u8b5c\u6216\u662f\u5b78\u6821\u7684\u8ab2\u7a0b\u77e5\u8b58\u5eab\u5716\u8b5c \u3002<br \/>\n\u7cfb\u7d71\u7522\u54c1\u4e09\u5927\u529f\u80fd :<br \/>\n(i) \u8cc7\u8a0a\u8207\u77e5\u8b58\u5b9a\u4f4d\u8207\u4e32\u806f\u5716\u8b5c\uff0c\u77e5\u8b58\u5716\u8b5c\u8207\u77e5\u8b58\u5716\u8b5c\u4e32\u806f\u6574\u5408\u7684&#8221;\u5de8\u7d50\u77e5\u8b58\u5716\u8b5c&#8221; \uff1b<br \/>\n (ii) \u591a\u8996\u7a97\u77e5\u8b58\u6574\u5408\u3001\u5275\u610f\u878d\u5408\u8207\u5c55\u6f14\u7cfb\u7d71\uff1b<br \/>\n (iii) \u7dda\u4e0a\u8f14\u52a9\u5b78\u7fd2\u6a5f\u5668\u4eba\u9ad8\u6548\u7387\u5354\u52a9\u5efa\u69cbKMX\/MMX \u5c08\u6848\u7814\u7a76\u5831\u544a\u6216\u6559\u80b2\u8a13\u7df4\u6559\u5b78\u77e5\u8b58\u77e9\u9663\u6a21\u7d44 \u3002 , I. \u56e0\u61c9\u751f\u6210\u5f0fAI\u7684\u5d1b\u8d77\uff0c\u6253\u9020\u6559\u80b2\u5143\u5b87\u5b99 &#8211; \u67cf\u62c9\u5716\u8b5c\u7cfb\u7d71\u57fa\u65bc\u5728\u4e0a\u8ff0\u7522\u54c1\u4ecb\u7d39\u4e2d\u6240\u63d0\u5230\u7684\u4e09\u5927\u7279\u9ede\uff0c\u5df2\u7d93\u5efa\u69cb\u76f8\u7576\u5b8c\u5099\u7684\u4f5c\u696d\u9ad4\u7cfb\u8b93\u5b78\u6821\u53ef\u4ee5\u56e0\u61c9\u751f\u6210\u5f0fAI(Generative Artificial Intelligence)\u5d1b\u8d77\u7684\u6578\u4f4d\u5b78\u7fd2\u6f6e\u6d41\uff0c\u5efa\u7acb\u5e2b\u751f\u81ea\u5b78\/\u5171\u5b78\u7684\u6559\u80b2\u6578\u4f4d\u5927\u8166\uff0c\u6210\u70ba\u5b78\u6821\u672a\u4f86\u5efa\u7acb\u6559\u5b78\u5143\u5b87\u5b99\u7684\u57fa\u790e\uff0c\u8f14\u52a9\u5e2b\u751f\u4ee5PKB\u7684\u5efa\u69cb\u70ba\u4e3b\u8ef8\u6253\u9020\u6bcf\u500b\u5b78\u751f\u500b\u4eba\u5316\u5b78\u7fd2\u7684\u6578\u4f4d\u96d9\u80de\u80ce\uff0c\u751a\u81f3\u53ef\u4ee5\u63d0\u4f9b\u5b78\u6821\u8a55\u91cf\u5b78\u751f\u672a\u4f86\u6700\u9069\u5207\u7684\u6027\u5411\u767c\u5c55\u4f9d\u64da\uff0c\u66f4\u80fd\u5920\u8b93\u5b78\u6821\u4ee3\u4ee3\u7684\u6559\u5b78\u76f8\u9577\u7d93\u9a57\u5716\u8b5c\u6a21\u7d44\u5316\uff0c\u6d3b\u5316\u8907\u88fd\u5230\u7cfb\u7d71\u4ee5\u5efa\u69cb\u6559\u80b2\u6578\u4f4d\u5927\u8166\uff0c\u5f97\u4ee5\u5b8c\u6574\u5730\u50b3\u627f\u8207\u6301\u7e8c\u4e0d\u65b7\u5730\u57f9\u990a\u4e0b\u4e00\u4ee3\u6210\u70ba\u4e0d\u6703\u88abAI\u53d6\u4ee3\uff0c\u800c\u4e14\u80fd\u5920\u8ddfAI\u5354\u4f5c\u7684\u4eba\u624d\u3002\u9019\u6a23\u7684\u7cfb\u7d71\u4e0d\u50c5\u5728\u53f0\u7063\u662f\u7368\u5275\uff0c\u751a\u81f3\u5728\u5168\u4e16\u754c\u4e5f\u662f\u7368\u4e00\u7121\u4e8c\u7684\u5275\u65b0\u767c\u660e\uff0c\u4e5f\u56e0\u6b64\u672c\u7cfb\u7d712022\u5e74\u9084\u5728\u7522\u54c1\u7814\u767cBeta Testing\u7684\u7522\u5b78\u5408\u4f5c\u63a8\u5ee3\u968e\u6bb5\u4e2d\uff0c\u5c31\u5df2\u7d93\u69ae\u7372\u4ee3\u8868\u53f0\u7063\u6700\u9ad8\u54c1\u724c\u7684\u570b\u5bb6\u54c1\u724c\u7389\u5c71\u734e\u80af\u5b9a \u3002<br \/>\nII. \u8de8\u9818\u57df\u5b78\u7fd2\u7684\u96f2\u7aef\u667a\u6167\u77e5\u8b58\u5009\u5132 &#8211; \u500b\u4eba\u5316\u77e5\u8b58\u5eab PKB \u5728\u6578\u4f4d\u52a9\u7406\u6a5f\u5668\u4eba\u7684\u5354\u4f5c\u4e0b\uff0c \u5b9b\u5982\u4e00\u500b\u8cc7\u8a0a\u8207\u77e5\u8b58\u7684\u96f2\u7aef\u667a\u6167\u5009\u5132 \u2013<br \/>\n(i) \u7dda\u4e0a\u8f14\u52a9\u5b78\u7fd2\u6a5f\u5668\u4eba Pathfinder \u5c07\u4f7f\u7528\u8005\u81ea\u5df1\u4ee5\u53ca Lufton \u5354\u52a9\u641c\u5c0b\u7684\u8cc7\u8a0a\u548c\u77e5\u8b58\u8cbc\u4e0a\u8d85\u8d8a\u95dc\u9375\u8a5e\u5f59\u8868\u9762\u610f\u7fa9\u9023\u7d50\u7684\u8a8d\u77e5\u6982\u5ff5\u5b9a\u4f4d\u6a19\u7c64\uff0c\u6709\u7cfb\u7d71\u5730\u5206\u9580\u5225\u985e\u4e26\u4e14\u53c8\u80fd\u5920\u4ea4\u53c9\u878d\u5408(Connecting the Dots)\uff0c\u4ee5\u62d3\u5c55\u8de8\u9818\u57df\u5b78\u7fd2(Interdisciplinary Learning)\u7684\u95dc\u806f\u6027\uff1b<br \/>\n(ii) Pathon \u6700\u5f8c\u5c07 Pathfinder \u6240\u6709\u5b9a\u4f4d\u7684\u8cc7\u8a0a\u8207\u77e5\u8b58\u4e0d\u65b7\u6a21\u64ec\u91cd\u7d44\uff0c\u8a66\u5716\u627e\u51fa\u9762\u9762\u4ff1\u5230\u7684\u8cc7\u8a0a\u548c\u77e5\u8b58\u95dc\u9023\u8108\u7d61\uff0c\u5354\u52a9\u4f7f\u7528\u8005\u514b\u670d\u907a\u5fd8\u66f2\u7dda(Forgetting Curve)\u4e4b\u5b78\u7fd2\u969c\u7919\uff0c\u9032\u4e00\u6b65\u63d0\u5347\u6574\u5408\u61c9\u7528\u77e5\u8b58\u4f86\u89e3\u6c7a\u554f\u984c\u7684\u6548\u80fd\uff0c \u56e0\u800c\u7121\u7dda\u5ef6\u4f38\u8de8\u9818\u57df\u5b78\u7fd2\u7684\u8996\u91ce\u8207\u683c\u5c40\u3002<br \/>\nIII. PPP\u6fc0\u767c\u7121\u9650\u5275\u610f\u7684\u77e5\u8b58\u62fc\u5716(Knowledge Puzzle) &#8211; \u67cf\u62c9\u5716\u8b5c\u7cfb\u7d71\u5f9e 17 \u5e74\u524d(2007)\u9a30\u7db2\u7b2c\u4e00\u500b\u69ae\u7372\u570b\u5bb6\u91d1\u70ac\u734e\u80af\u5b9a\u4e4b\u5c08\u5229\u7cfb\u7d71 SmartMatrix \u958b\u59cb\uff0c\u4e0d\u65b7\u5730\u7cbe\u76ca\u6c42\u7cbe\u5730\u7814\u767c\uff0c\u591a\u5e74\u4f86\u958b\u767c\u51fa\u4ee5\u5f71\u50cf\u8a18\u61b6\u70ba\u4e3b\uff0c\u80fd\u5920\u8996\u89ba\u5316\u6574\u5408\u8907\u96dc\u7684\u8cc7\u8a0a\u8207\u77e5\u8b58\u6a21\u7d44\uff0c\u4ee5\u9032\u884c\u77e5\u8b58\u62fc\u5716\u505a\u5275\u610f\u878d\u5408\uff0c\u7522\u751f\u5177\u6709\u6df1\u5ea6\u7684\u5275\u610f\uff0c\u4e26\u4e14\u5f97\u4ee5\u9032\u884c\u5168\u65b9\u4f4d\u52d5\u614b\u7814\u7a76\u5831\u544a\u5c55\u6f14\u4e4b\u591a\u8996\u7a97\u4ecb\u9762\u7cfb\u7d71\u3002\u7279\u5225\u662f\u9019\u500b\u7cfb\u7d71\u5728\u8ddf\u5b78\u6821\u8207\u8ab2\u5f8c\u8f14\u5c0e\u6a5f\u69cb\u505a\u7522\u5b78\u5408\u4f5c\u8a66\u63a8\u5ee3\u7684\u904e\u7a0b\u4e2d\uff0c\u958b\u767c\u51fa\u5f15\u5c0e\u5b78\u751f\u505a\u5c08\u984c\u5f0f\u5b78\u7fd2(PBL)\u7684\u7cfb\u7d71\u6027\u65b9\u6cd5\uff0c\u5229\u7528\u5efa\u69cb\u500b\u4eba\u5316\u77e5\u8b58\u5eab\u505a\u5c08\u984c\u5f0f\u5b78\u7fd2\u7684\u4e09\u90e8\u66f2 PKB-driven Trilogy of PBL on Platograph: Puzzle\/Problem\/Project &#8211; \u5f9e\u8de8\u9818\u57df\u5b78\u7fd2\u77e5\u8b58\u62fc\u5716\u4f86\u6574\u5408\u7814\u7a76\u8907\u96dc\u6027\u7cfb\u7d71\u7684\u4e0d\u540c\u9762\u5411\u554f\u984c\uff0c\u4f8b\u5982\u5168\u7403\u4f01\u5283\u8b8a\u9077\u5168\u7403\u6c23\u5019\u8b8a\u9077\u6216\u662f\u50b3\u67d3\u75c5\u5927\u6d41\u884c\u7684\u7d50\u69cb\u5f0f\u601d\u7dad\u8a13\u7df4\uff0c\u9032\u968e\u5230\u767c\u73fe\u8207\u89e3\u6c7a\u95dc\u9375\u554f\u984c\u7684\u95dc\u9375\u6027\u601d\u7dad\u8a13\u7df4\uff0c\u4ee5\u81f3\u6700\u5f8c\u767c\u60f3\u4e00\u500b\u89e3\u6c7a\u554f\u984c\u7684\u65b9\u6cd5\u4f86\u64ec\u5b9a\u5275\u65b0\u767c\u660e\u7684\u8a08\u756b\u3002<br \/>\nIV. \u7fa4\u7d44\u77e5\u8b58\u5eab\u5c55\u73fe\u5171\u5b78\u96c6\u9ad4\u667a\u6167 \u2013 GKB(Group Knowledge Base)\u529f\u80fd\u53ef\u4ee5\u6574\u4f75\u878d\u5408\u4e00\u500b\u7d44\u7e54\u5718\u968a\u6240\u6709\u6210\u54e1\u7684\u500b\u4eba\u5316\u77e5\u8b58\u5eab PKBs\uff0c\u4ee5\u6210\u70ba\u7fa4\u9ad4\u7684\u77e5\u8b58\u5eab\u4e26\u7522\u751f\u4e00\u500b\u5171\u5b78\u7684\u5de8\u7d50\u77e5\u8b58\u5716\u8b5c\uff0c\u4e0d\u50c5\u5f37\u5316\u7814\u767c\u5718\u968a\u5408\u4f5c\u7684\u6548\u80fd\uff0c \u66f4\u9032\u4e00\u6b65\u8b93\u5718\u968a\u5171\u5b78\u7522\u751f\u5316\u5b78\u53cd\u61c9\uff0c\u6fc0\u767c\u5275\u65b0\u767c\u660e\u4ee5\u5efa\u69cb\u8907\u96dc\u6027\u554f\u984c\u89e3\u6c7a\u65b9\u6848\u7684\u96c6\u9ad4\u667a\u6167\u4e4b\u7121\u9650\u6f5b\u80fd\u3002<br \/>\nV. \u77fd\u8c37\u7063\u5340\u4eba\u624d\u990a\u6210\u7684\u5275\u65b0\u6559\u80b2\u5178\u7bc4 &#8211; 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