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内容提要:
本版在融合了前几个版本的理论知识和实际应用的基础上进行了改进。本书分两部分,第一部分介绍专家系统的基本理论,并对人工智能及其与专家系统的关系做了总体论述。第二部分集中介绍应用技术,包括CLPS专家系统工具和新的面向对象语言COOL。读者将学习如何应用COOL语言通过定义规则和对象,开发一个完整的专家系统。书中每一章的最后都设计了有针对性的习题,帮助读者加强对知识的理解。
本书可作为计算机科学、管理信息系统或软件工程专业高年级本科生或研究生的教材和参考书。 本书特点: ·覆盖面广,包括专家系统的理论知识和基于规则的应用。 ·内容全面更新,反映了快速发展的专家系统领域的最新趋势。 ·附送一个包括CLIPS程序、源代码以及其他相关文档的光盘。 作者简介:
Joseph C.Giarratano,美国休斯顿大学明湖分校计算机科学系教授。作为NASA的顾问,他参与了专家系统工具CLIPS的开发。另外,他发表了超过30篇研究论文并著有超过10本书。
Garry D.Riley,于1984年在美国得克萨斯A&M大学获计算机科学硕士学位。他在NASA工作了11年,并为CLIPS专家系统语言开发了基于规则的特性部分。目前他居住在得克萨斯州,任职于Peoplesoft有限公司。
编辑推荐:
本书是响应教育部提出的使用外版教材的号召,为国内高校的计算机及相关专业的教学度身订造的。不仅涵盖了程序设计、数据结构、操作系统等一系列计算机专业的核心课程,而且各具特色。在这些圆熟通博的名师大作的指引下,您必将在计算机科学的宫殿中由登堂而入室。
目录:
PREFACE
CHAPTER 1 :Introdutction to expert systems 1.1 Introduction 1.2 What is an expert system 1.3 Advantages of expert systems 1.4 General concepts of expert systems 1.5 Charactetistics of an expert systems 1.6 The development of expert systems technology 1.7 Expert systems applications and domains 1.8 Languages,shells,and tools 1.9 Elements of an expert system 1.10 Production systems 1.11 Procedural paradigms 1.12 Nonprocedural paradigms 1.13 Connectionist expert systems and inductive leaning 1.14 Connectionist expert systems and inductive 1.15 The state of the art in artificial intelligence 1.16 summary problems Bibilgraphy CHAPTER 2 :The Representation of Knowledge 2.1 Introduction 2.2 The meaning of knowledge 2.3 Productions 2.4 Semantic nets 2.5 Object-attribute-value triples 2.6 prolog and semantic nets 2.7 Difficulties with semantic nets 2.8 schemata 2.9 Frames 2.10 Difficulties with frames 2.11 Logic and sets 2.12 Propositional logic 2.13 The first order predicate logic 2.14 The universal quantifier 2.15 The exitential quantifier 2.16 Quantifiers and sets 2.17 Limitations of predicate logic 2.18 Summary Problems Bibliography CHAPTER 3: Methods of inference 3.1 Induction 3.2 Trees,lattices,and graphs 3.3 State and problem spaces 3.4 AND-OR trees and goals 3.5 Deductive logic and syllogisms 3.6 Rules of inference 3.7 Limitations of propositional logic 3.8 First-order predicate logic 3.9 logic systems 3.10 Resolution 3.11 Resolution systems and deduction 3.12 Shallow and causal reasoning 3.13 Resolution and first-order predicate 3.14 Forward and backward chaining 3.15 Other methods of inference 3.16 Metaknowledge 3.17 Hidden markov models 3.18 summay Problems Bibliogaphy CHARPTER 4 :Reasoning under uncertainy CHARPTER 5 :Inexact reasoning CHARPTER 6 :Design of expert systems CHARPTER 7 :Introduction to clips CHARPTER 8 :Adanced pattern matching CHARPTER 9 :Modular design,execution control,and rule efficiency CHARPTER 10 : Procedural programming CHARPTER 11 : classes,instances,and message-handlers CHARPTER 12 : Expert system design examples APPENDIXES 前言:
This 4th edition is a major revision of the internationally used textbook on expert systems and programming in the CLIPS expert system tool. Ex pert systems have experienced tremendous growth and popularity since their commercial introduction in the 1980s. Today, expert systems are widely used in bus iness, science, engineering, agriculture, manufacturing, medicine, videogames, and virtually every other field. In fact, it's difficult to think of a field in which expert systems are not used today.
This book is meant to educate students about..
序言:
文艺复兴以降,源远流长的科学精神和逐步形成的学术规范,使西方国家在自然科学的各个领域取得了垄断性的优势;也正是这样的传统,使美国在信息技术发展的六十多年间名家辈出;独领风骚。在商业化的进程中,美国的产业界与教育界越来越紧密地结合,计算机学科中的许多泰山北斗同时身处科研和教学的最前线,由此而产生的经典科学著作,不仅擘划了研究的范畴,还揭橥了学术的源变,既遵循学术规范,又自有学者个性,其价值并不会因年月的流逝而减退。
近年,在全球信息化大潮的推动下,我国的计算机产业发展迅猛,对专业人才的需求日益迫切。这对计算机教育界和出版界都既是机遇,也是挑战;而专业教材的建设在..
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