AI人工智能导论 (38).pdf
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1、Artificial IntelligenceOverview Artificial Intelligence 2 7.1.1 Data, Information, Knowledge and Wisdom 7.1.2 Explicit and Tacit Knowledge 7.1.3 Knowledge Types 7.1.4 Knowledge Base and Knowledge Base System 7.1.5 Knowledge Engineering (KE) 7.1.6 Knowledge-based Engineering (KBE) Contents Artificial
2、 Intelligence : Reasoning : Reasoning by Knowledge 3 Data, Information, Knowledge and Wisdom 数据、信息、知识与智慧 7.1. Overview Data 数据 The measures and representations of the world. 世界的计量和表征。 As fact, signal, or symbol.表现为事实、信号、或者符号。 Information 信息 Produced by assigning meaning to data. 对数据赋予含义而生成。 Structur
3、al vs. functional, subjective vs. objective. 结构与功能的,主观与客观的。 Knowledge 知识 Defined with reference to information. 对信息进行加工而确立。 As processed, procedural, or propositional. 表现为加工的、过程的或者命题的。 Wisdom 智慧 The experience to make decisions and judgments. 作出决定和判断的经验。 As “know-why”, “know-how”, or “why do”. 表现为“知
4、因”、 “知然”、或 “因 何”。 Artificial Intelligence : Reasoning : Reasoning by Knowledge 4 相关性 Connectedness 知性 Understanding Data: 数据 The numbers 100 or 5 (out of context) 数字100或者5(无上下文) Information: 信息 Principal amount: $100, interest rate: 5% 本金:100美元;利率:5% Knowledge: 知识 At the end of year I get $105 back
5、年底拿回105美元 Wisdom: 智慧 Investment? 投资? Example: in Bank 在银行 7.1. Overview Data Information Knowledge Wisdom Artificial Intelligence : Reasoning : Reasoning by Knowledge 5 Explicit knowledge显性知识 Can be articulated into formal language, including grammatical statements, etc. 可以表示为形式语言,包括语法陈述、数学表达式、等等。 C
6、an be readily transmitted to others. 可以快捷地转化成其它形式。 Can be easily represented using computer languages, decision trees and rules. 可以容易地用计算机语言、决策树和规则等表示。 Tacit knowledge隐性知识 Individual experience and intangible factors, such as perspective, and etc. 个人的经验和无形的因素、如观点、等等。 Hard to articulate with formal l
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