{"id":2230,"date":"2018-08-27T00:57:04","date_gmt":"2018-08-26T16:57:04","guid":{"rendered":"http:\/\/www.cgvisual.com\/CGVSpace\/?p=2230"},"modified":"2018-08-29T19:09:15","modified_gmt":"2018-08-29T11:09:15","slug":"%e6%8e%a2%e8%a8%8e%e3%80%8c%e4%b8%89%e5%b1%a4%e8%aa%8d%e7%9f%a5%e5%ad%b8%e7%bf%92%e3%80%8d%e7%9a%84%e6%87%89%e7%94%a8","status":"publish","type":"post","link":"https:\/\/www.cgvisual.com\/CGVSpace\/archives\/2230","title":{"rendered":"\u63a2\u8a0e\u300c\u4e09\u5c64\u8a8d\u77e5\u5b78\u7fd2\u300d\u7684\u61c9\u7528"},"content":{"rendered":"

\u7e7c\u4e4b\u524d\u300a\u81ea\u5b78\u8005\u7684\u667a\u6167\u300b\u6587\u7ae0\u4e2d\u63d0\u53ca\u5230 \u201c\u4eba\u985e\u5929\u751f\u662f\u61c2\u5f97\u81ea\u5b78\u7684\u201d \u548c\u5be6\u8e10\u300c\u81ea\u5b78\u300d\u7684\u4e00\u4e9b\u6cd5\u5247\u6982\u5ff5\uff0c\u61c9\u8a72\u8aaa\u662f\u300c\u81ea\u4e3b\u5b78\u7fd2\u884c\u70ba\u300d\u8207\u5b78\u7fd2\u7406\u8ad6\u76f8\u95dc\u7684\u4e00\u4e9b\u57fa\u672c\u7406\u5ff5\uff0c\u6240\u4ee5\u601d\u4e4b\u4eca\u5929\u60f3\u4ecb\u7d39\u4e00\u500b\u540d\u70ba\u300cTriple-Loop Learning\u300d\u6a21\u5f0f (\u300c\u4e09\u5c64\u8a8d\u77e5\u5b78\u7fd2\u300d) \u7d66\u5404\u4f4d CG \u670b\u53cb\u4f5c\u53c3\u8003\u3002\u5176\u6838\u5fc3\u6982\u5ff5\u662f\u8a0e\u8ad6\u6709\u95dc\u5b78\u7fd2\u884c\u70ba\u8207\u300c\u5143\u8a8d\u77e5\u300d(Metacognition) \u600e\u6a23\u5f71\u97ff\u6211\u5011\u7684\u5b78\u7fd2\u6548\u679c\u3002<\/p>\n

\u5f9e\u5206\u6790\u89d2\u5ea6\u4f86\u8aaa\u5373\u662f\u5728\u63a2\u8a0e\u6211\u5011\u5728\u4e0d\u540c\u5b78\u7fd2\u968e\u6bb5\u7684\u300c\u8a8d\u77e5\u300d\u767c\u5c55\uff0c\u56e0\u70ba\u4e00\u500b\u4e0a\u9032\u7684\u5b78\u4eba\u7e3d\u6703\u904b\u7528\u5176\u80fd\u529b\u8207\u6a5f\u6703\u4f86\u8b00\u6c42\u6709\u610f\u7fa9\u7684\u5b78\u7fd2\uff0c\u4ed6\u5176\u5be6\u662f\u5728\u57f7\u884c\u300c\u5143\u8a8d\u77e5\u300d\u5b78\u7fd2\u6a21\u5f0f\u3002\u6b63\u5982 CG \u5b78\u4eba\u80fd\u5f9e\u5b78\u7fd2 Maya Modelling \u7684\u6280\u5de7\u4e2d\u5b78\u6703\u4e86\u7c21\u55ae\u7684 CG Geometry Theory\uff0c\u518d\u4e00\u6b65\u4e00\u6b65\u7684\u628a Mesh Modelling \u77e5\u8b58\u6df1\u5316\u70ba Cartesian Coordinate System \u548c Geometry Theory \u7b49\u6574\u9ad4 CG \u77e5\u8b58\u7684\u8a8d\u77e5\u9019\u7a2e \u201c\u5347\u5462\u201d \u5b78\u7fd2\u6a21\u5f0f (\u8acb\u53c3\u770b\u300aCG \u81ea\u5b78\u8005\u7684\u667a\u6167\u300b\u4e00\u6587\u4e2d\u6240\u63a1\u7528\u7684\u5b78\u7fd2 Maya \u4f8b\u5b50)\u3002<\/p>\n

\u5c31\u597d\u50cf\u4e0b\u5716\u4e2d\u4e09\u7a2e\u984f\u8272\u6240\u4ee3\u8868\u8457\u7684\u4e09\u500b learning loops (\u8a8d\u77e5\u884c\u70ba\u6a21\u5f0f)\u00a0\uff1a\u5728\u5716\u4e2d\u5206\u522b\u53eb\u300cActing\u300d\u3001\u300cReframing\u300d\u548c\u300cTransforming\u300d\u4e09\u500b\u5c64\u9762\u3002\u5b83\u5011\u662f\u4ee3\u8868\u8457 Maya \u5b78\u4eba\u7684\u4e0d\u540c\u300c\u5143\u8a8d\u77e5\u300d\u80fd\u529b\u548c\u8a8d\u77e5\u884c\u70ba\u3002\u82e5\u7136\u9019\u4f4d\u5b78\u4eba\u53ea\u8457\u91cd\u5b78\u61c2\u4e86\u64cd\u4f5c Maya \u7684\u7a0b\u5e8f\u4fbf\u505c\u4e86\u4e0b\u4f86\uff0c\u9019\u500b\u6b65\u9a5f (learning loop) \u53ea\u80fd\u4f7f\u4ed6\u9054\u5230\u7b2c\u4e00\u500b\u5b78\u7fd2\u5c64\u9762\u7684\u6210\u679c \u2500\u300cActing\u300d\u8a8d\u77e5\u884c\u70ba\uff0c\u610f\u601d\u662f\u6307\u4ed6\u61c2\u5f97\u5728\u5be6\u969b\u60c5\u6cc1\u4e0b\u4f5c\u51fa\u300c\u53cd\u61c9\u300d\uff0c\u50cf\u5728 Maya \u7684\u5b78\u7fd2\u74b0\u5883\u88e1\uff0c\u4ed6\u77e5\u9053\u82e5\u6309 Subdivision \u9019\u500b\u9375\u5c31\u53ef\u4ee5\u6709\u589e\u52a0 geometry edges \u7684\u6548\u679c\uff0c\u4e4b\u5f8c\u6bcf\u6b21\u4ed6\u9700\u8981\u589e\u52a0\u66f4\u591a edges \u4fbf\u6703\u6309 Subdivision \u9019\u500b\u9375\uff0c\u9019\u662f\u7d14\u7cb9\u64cd\u4f5c\u884c\u70ba\u8207\u7d50\u679c\u7684\u95dc\u806f\u4f5c\u7528\u3002<\/p>\n

\"\"<\/p>\n

\u5716\u7247\u4e0b\u8f09\u7db2\u5740\uff1ahttps:\/\/www.mikethementor.co.uk\/blog\/2018\/4\/4\/single-double-and-triple-loop-change<\/a><\/p>\n

\u800c\u7b2c\u4e8c\u500b learning loop \u7684\u8a8d\u77e5\u884c\u70ba\u662f\u300cReframing\u300d\uff0c\u4ee3\u8868\u8457\u7576\u4ed6\u80fd\u5920\u7406\u89e3 Geometric Topology \u5f8c\uff0c\u6216\u8005\u7576\u4ed6\u6709\u5145\u5206\u7684\u601d\u8003\u548c\u5be6\u9a57\u5176\u4ed6 Edit Mesh Component \u5f8c\uff0c\u4ed6\u6703 \u201creframe\u201d (\u91cd\u65b0\u898f\u7bc4) \u6240\u9700\u8981\u7684\u7d50\u679c\u800c\u4f5c\u51fa\u6700\u4f73\u7684\u9078\u64c7\uff0c\u4f8b\u5982\u662f\u9078\u7528 Chamfer \u65b9\u6cd5\u800c\u4e0d\u518d\u7528 Subdivision \u4e86\uff0c\u9019\u6a23\u505a\u7684 Maya \u5b78\u4eba\u5176\u5be6\u662f\u904b\u7528\u4e86 \u201c\u4f30\u7b97\u4e0d\u540c\u7d50\u679c\u201d \u7684\u65b9\u6cd5\u4f86\u6c7a\u5b9a\u600e\u6a23\u57f7\u884c\u9019\u9805 modelling \u64cd\u4f5c\uff0c\u662f\u4e00\u7a2e\u5224\u65b7\u601d\u8003\u884c\u70ba\uff0c\u8f03\u300cActing\u300d\u591a\u4e86\u4e00\u5c64\u66f4\u7406\u6027\u7684\u5224\u6c7a\u52d5\u4f5c\u3002<\/p>\n

\u6700\u5f8c\u7684\u5c64\u9762\u662f\u300cTransforming\u300d\u9019\u7a2e\u8a8d\u77e5\u80fd\u529b\u548c\u884c\u70ba\uff0c\u4ee3\u8868\u4ed6\u5df2\u7d93\u53ef\u4ee5\u628a Mesh Tessellation \u539f\u7406\u6d88\u5316\u5438\u6536\u53ca\u904b\u7528\u5728 CG Modelling \u4e0a\uff0c\u4ed6\u80fd\u5920\u9748\u6d3b\u5730\u9078\u64c7 Subdivision \u548c Chamfer \u7b49\u7b49 Edit Mesh \u5de5\u5177\u88e1\u4e0d\u540c\u9078\u9805\u800c\u9054\u5230\u6700\u7406\u60f3\u7684 topology \u7d50\u679c\u3002\u6216\u8a31\u4ed6\u7d93\u5df2\u5b8c\u5168\u660e\u767d Geometric Deformation Technique \u662f\u751a\u9ebc\u4e00\u56de\u4e8b\uff0c\u600e\u6a23 edit mesh \u624d\u80fd\u5920\u6709\u6700\u597d\u7684 topology\uff0c\u4ed6\u662f\u771f\u7684\u5b78\u61c2\u4e86 CG Modelling \uff0c\u53ef\u4ee5\u628a Maya Modelling \u88e1\u9762\u7684\u7684\u6280\u5de7\u904b\u7528\u5728\u64cd\u4f5c 3DS MAX \u6216\u5176\u4ed6 CG Modelling \u8edf\u4ef6\u4e0a\u4e86\u3002<\/p>\n

\u5b78\u8853\u4e0a\u7684\u300cTriple-Loop Learning\u300d(Argyris & Sch\u00f6n, 2002) \u662f\u5faa\u8457\u4eba\u985e\u5b78\u7fd2\u884c\u70ba\u7684\u73fe\u8c61\u4f86\u7814\u7a76\u5982\u4f55\u61c9\u7528\u300c\u5143\u8a8d\u77e5\u300d\u4f86\u63d0\u6607\u5b78\u4eba\u81ea\u5df1\u7684\u8a8d\u77e5\u5b78\u7fd2\u904e\u7a0b (\u9019\u5305\u62ec\u611f\u77e5\u3001\u8a8d\u8b58\u3001\u8a18\u61b6\u3001\u95dc\u806f\u3001\u63d0\u51fa\u610f\u5ff5\u4ee5\u53ca\u7522\u751f\u5275\u4f5c\u7b49\u7684\u601d\u7dad\u6d3b\u52d5) \u3002\u601d\u4e4b\u628a\u300cTriple-Loop Learning \u300d\u7ffb\u8b6f\u70ba\u300e\u4e09\u5c64\u8a8d\u77e5\u5b78\u7fd2\u300f\uff0c\u4f46\u767c\u73fe\u4e2d\u6587\u7db2\u7ad9\u4e0a\u5b83\u88ab\u7a31\u70ba\u300c\u4e09\u5708\u5b78\u7fd2\u300d\uff1f\uff01(\u601d\u4e4b\u4e0d\u592a\u559c\u6b61\u9019\u500b\u7ffb\u8b6f) \u3002\u7121\u8ad6\u600e\u6a23\u7ffb\u8b6f\u9019\u4e9b\u540d\u8a5e\uff0c\u9019\u4e09\u500b\u300c\u8a8d\u77e5\u300d\u5c64\u9762\u7684\u5b78\u4eba\u5728\u5b78\u7fd2\u6642\u5f80\u5f80\u6703\u6709\u50cf\u4e0b\u5217\u7684\u63d0\u554f\u6216\u81ea\u6211\u8cea\u8a62 (\u56e0\u70ba\u6015\u7ffb\u8b6f\u6703\u5931\u771f\uff0c\u9084\u662f\u4fdd\u7559\u5176\u82f1\u6587\u539f\u610f\u7d66\u5404\u4f4d\u8b80\u8005\u601d\u8003\u548c\u4e86\u89e3) :-
\nSingle-Loop \u6642\u7684\u63d0\u554f\uff1a\u2013 \u201cWhat to do?\u201d,\u00a0 \u2013 \u201cAm I doing the RIGHT things?\u201d
\nDouble-Loop \u6642\u7684\u63d0\u554f\uff1a\u2013 \u201cHow to do?\u201d,\u00a0 \u2013 \u201cAm I doing the things RIGHT?\u201d
\nTriple-Loop \u6642\u7684\u63d0\u554f\uff1a\u2013 \u201cWhy this is RIGHT?\u201d,\u00a0 \u2013 \u201cHow do I decide this is RIGHT, or NOT RIGHT?\u201d<\/p>\n

\u7e3d\u62ec\u4f86\u8aaa\uff0c\u6559\u80b2\u7814\u7a76\u8005\u770b\u5230\u5982\u4f55\u904b\u7528\u300c\u5143\u8a8d\u77e5\u300d\u5728\u63d0\u6607\u81ea\u4e3b\u5b78\u7fd2\u80fd\u529b\u9019\u65b9\u9762\u7684\u7814\u7a76\u4e0a\uff0c\u5e0c\u671b\u5404\u4f4d CGV Space \u8b80\u8005\u6709\u8208\u8da3\u9019\u4e9b\u8a0e\u8ad6\u5427\u3002\u6b64\u5916\uff0c\u601d\u4e4b\u5f88\u60f3\u611f\u8b1d Spark Lam \u5728\u4e0a\u4e00\u7bc7\u6587\u7ae0\u5e16\u5b50\u88e1\u7684\u7559\u8a00 \u201c\u5b78\u2026\u800c\u5f8c\u2026\u77e5\u2026\u4e0d\u8db3\u201d<\/strong>\uff01\u5e0c\u671b\u5927\u5bb6\u90fd\u8e34\u8e8d\u9ede\u5728\u6b64\u63d0\u4f9b\u610f\u898b\u6216\u7559\u8a00\u3002\u9644\u4e0a\u7684\u7db2\u5740\u662f\u4e00\u7bc7\u975e\u5e38\u7cbe\u7c21\u7684 Triple-Loop Learning \u65bc\u53e6\u4e00\u500b\u7814\u7a76\u7bc4\u7587 \u2500\u300cOrganizational Learning\u300d\u7684\u6587\u7ae0\uff0c\u4e5f\u8a31\u53ef\u4ee5\u70ba\u6709\u8208\u8da3\u7576\u7ba1\u7406 (\u6216\u5df2\u7d93\u662f\u7ba1\u7406\u5c64) \u7684 CG \u670b\u53cb\u5011\u63d0\u4f9b\u53e6\u4e00\u7bc7\u53c3\u8003\u95b1\u8b80\u3002<\/p>\n

\u53c3\u8003\u7db2\u5740\uff1a
\nhttps:\/\/www.mikethementor.co.uk\/blog\/2018\/4\/4\/single-double-and-triple-loop-change<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

\u7e7c\u4e4b\u524d\u300a\u81ea\u5b78\u8005\u7684\u667a\u6167\u300b\u6587\u7ae0\u4e2d\u63d0\u53ca\u5230 \u201c\u4eba\u985e\u5929\u751f\u662f\u61c2\u5f97\u81ea\u5b78\u7684\u201d \u548c\u5be6\u8e10\u300c\u81ea\u5b78\u300d\u7684\u4e00\u4e9b\u6cd5\u5247\u6982\u5ff5\uff0c\u61c9\u8a72\u8aaa\u662f\u300c\u81ea\u4e3b\u5b78\u7fd2\u884c\u70ba\u300d\u8207\u5b78\u7fd2\u7406\u8ad6\u76f8\u95dc\u7684\u4e00\u4e9b\u57fa\u672c\u7406\u5ff5\uff0c\u6240\u4ee5\u601d\u4e4b\u4eca\u5929\u60f3\u4ecb\u7d39\u4e00\u500b\u540d\u70ba\u300cTriple-Loop Learning\u300d\u6a21\u5f0f (\u300c\u4e09\u5c64\u8a8d\u77e5\u5b78\u7fd2\u300d) \u7d66\u5404\u4f4d CG \u670b\u53cb\u4f5c\u53c3\u8003\u3002\u5176\u6838\u5fc3\u6982\u5ff5\u662f\u8a0e\u8ad6\u6709\u95dc\u5b78\u7fd2\u884c\u70ba\u8207\u300c\u5143\u8a8d\u77e5\u300d(Metacognition) \u600e\u6a23\u5f71\u97ff\u6211\u5011\u7684\u5b78\u7fd2\u6548\u679c\u3002<\/p>\n","protected":false},"author":11,"featured_media":2234,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[176,1],"tags":[261,260,235,259],"class_list":["post-2230","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-cg","category-general-topic","tag-maya-modelling","tag-260","tag-235","tag-259"],"_links":{"self":[{"href":"https:\/\/www.cgvisual.com\/CGVSpace\/wp-json\/wp\/v2\/posts\/2230","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.cgvisual.com\/CGVSpace\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.cgvisual.com\/CGVSpace\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.cgvisual.com\/CGVSpace\/wp-json\/wp\/v2\/users\/11"}],"replies":[{"embeddable":true,"href":"https:\/\/www.cgvisual.com\/CGVSpace\/wp-json\/wp\/v2\/comments?post=2230"}],"version-history":[{"count":29,"href":"https:\/\/www.cgvisual.com\/CGVSpace\/wp-json\/wp\/v2\/posts\/2230\/revisions"}],"predecessor-version":[{"id":2277,"href":"https:\/\/www.cgvisual.com\/CGVSpace\/wp-json\/wp\/v2\/posts\/2230\/revisions\/2277"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.cgvisual.com\/CGVSpace\/wp-json\/wp\/v2\/media\/2234"}],"wp:attachment":[{"href":"https:\/\/www.cgvisual.com\/CGVSpace\/wp-json\/wp\/v2\/media?parent=2230"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.cgvisual.com\/CGVSpace\/wp-json\/wp\/v2\/categories?post=2230"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.cgvisual.com\/CGVSpace\/wp-json\/wp\/v2\/tags?post=2230"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}