KS X 0001-31-2009 Information technology－Vocabulary－Part 31：Artificial intelligence－Machine learning《信息处理术语 第31部分 人工智能 机械学习》.pdf

《KS X 0001-31-2009 Information technology－Vocabulary－Part 31：Artificial intelligence－Machine learning《信息处理术语 第31部分 人工智能 机械学习》.pdf》由会员分享，可在线阅读，更多相关《KS X 0001-31-2009 Information technology－Vocabulary－Part 31：Artificial intelligence－Machine learning《信息处理术语 第31部分 人工智能 机械学习》.pdf（18页珍藏版）》请在麦多课文档分享上搜索。

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2、01 31:2009 (MOD, ISO/IEC 2382 31： 1997) 31： Information technology Vocabulary Part 31： Artificial intelligence Machine learning 1997 1 ISO/IEC 2382 31, Information technology Vocabulary Part 31： Artificial intelligence Machine learning , . 1 . , . . 2 . . ( ) . KS X 0001 1： 2007, 1： ISO/IEC 2382 1：

3、1993, Information technology Vocabulary Part 1： Fundamental terms KS X 0001 28： 2007, 28： ISO/IEC 2382 28： 1995, Information technology Vocabulary Part 28： Artificial intelligenceBasic concepts and expert systems 3 3.1 . , . . , 3.5 3.8 . KS X 0001 31:2009 2 3.2 3.1 . . a) 1)b) ISO , 3 . c) d) e) f)

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6、ation 31.01.10 machine discovery 31.01.11 , . , , , , , , , , , , . cognitive science cognitivism 31.02 31.02.01 . unlearning 31.02.02 concept description 31.02.03 . chunking 31.02.04 characteristic description 31.02.05 discriminant description KS X 0001 31:2009 5 31.02.06 structural description 31.

7、02.07 concept formation 31.02.08 “learned” “learnt” . partially learned concept 31.02.09 version space 31.02.10 example space instance space 31.02.11 description space 31.02.12 . concept generalization 31.02.13 , consistent generalization 31.02.14 constraint-based generalization 31.02.15 similarity-

8、based generalization 31.02.16 , . complete generalization 31.02.17 ( ) . concept specialization31.02.18 confusion matrix 31.02.19 concept validation 31.03 31.03.01 , causal analysis 31.03.02 . rote learning KS X 0001 31:2009 6 31.03.03 adaptive learning 31.03.04 heuristic learning 31.03.05 learning

9、by being toldlearning from instruction 31.03.06 advice taking 31.03.07 incremental learning 31.03.08 supervised learning 31.03.09 , . unsupervised learninglearning without a teacher 31.03.10 , learning by discoverylearning from observation 31.03.11 inductive learning learning by induction 31.03.12 .

10、 learning from examples example-based learning instance-based learning 31.03.13 , . positive example positive instance 31.03.14 , . negative example negative instance 31.03.15 , , . near-miss KS X 0001 31:2009 7 31.03.16 , . case-based learning 31.03.17 1 . 2 . deductive learning learning by deducti

11、on31.03.18 analytic learning explanation-based learning 31.03.19 , “ ” operationalization 31.03.20 . learning by analogy associative learning 31.03.21 / . credit/blame assignment 31.03.22 / reinforcement learning31.03.23 , , learning from solution paths 31.03.24 / . learning-apprentice strategy KS X

12、 0001 31:2009 8 31.03.25 , , , .learning while doing 31.03.26 , . “ ” , , . genetic learning KS X 0001 31:2009 9 ( ) 31.02.04 31.03.08 31.02.05 31.03.09 31.02.06 31.01.06 31.02.11 31.01.07 31.01.08 31.02.02 31.03.15 31.02.02 31.01.10 31.02.07 31.03.10 31.02.08 / 31.03.21 31.02.12 31.03.12 ( ) 31.02.

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15、03.19 31.03.05 31.03.03 31.03.05 31.01.05 31.03.07 ( ) 31.02.17 31.03.08 31.03.07 31.03.09 31.02.01 31.03.10 31.02.14 31.03.10 31.03.05 31.03.11 31.01.04 31.03.12 31.03.25 31.03.12 31.03.16 31.03.17 / 31.03.21 31.03.18 31.03.06 31.03.18 31.03.20 31.03.20 31.03.16 31.03.22 31.03.23 31.03.24 31.02.04

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17、learning by discovery 31.03.10advice advice taking 31.03.06 machine discovery 31.01.10analogy learning by analogy 31.03.20 discriminant discriminant description 31.02.05analysis causal analysis 31.03.01 analytic analytic learning 31.03.18 E assignment credit/blame assignment 31.03.21 example example

18、 space 31.02.10associative associative learning 31.03.20 learning from examples 31.03.12automatic automatic learning 31.01.02 negative example 31.03.14positive example 31.03.13C case-based case-based learning 31.03.16example-based example-based learning 31.03.12causal causal analysis 31.03.01charact

19、eristic characteristic description 31.02.04explanation-based explanation-based learning 31.03.18chunking chunking 31.02.03 clustering conceptual clustering 31.01.08 F cognitive cognitive science 31.01.11 formation concept formation 31.02.07cognitivism cognitivism 31.01.11 taxonomy formation 31.01.09

20、complete complete generalization 31.02.16 concept concept 31.01.06 G partially learned concept 31.02.08 generalization complete generalization 31.02.16concept description 31.02.02 concept generalization 31.02.12concept formation 31.02.07 consistent generalization 31.02.13concept generalization 31.02.12concept learning 31.01.07constraint-based generalization 31.02.14concept specialization 31.02.17concept validation 31.02.19similarity-based generalization 31.02.15conceptual conceptual clustering 31.01.08 genetic genetic learning 31.03.26confusion confusion matrix 31.02.18