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Expert systems : artificial intelligence in business

Expert systems : artificial intelligence in business

자료유형
단행본
개인저자
Harmon, Paul. King, David , 1949-.
서명 / 저자사항
Expert systems : artificial intelligence in business / Paul Harmon and David King.
발행사항
New York :   J. Wiley ,   c1985.  
형태사항
xii, 283 p. : ill. ; 25 cm.
총서사항
"A Wiley Press book".
ISBN
0471815543 : 0471808245 (pbk.) :
일반주기
Includes index.  
서지주기
Bibliography: p. [274]-278.
일반주제명
Expert systems (Computer science). Artificial intelligence. Business -- Data processing.
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020 ▼a 0471808245 (pbk.) : ▼c $16.95
040 ▼d 211009
049 1 ▼l 421026510 ▼f 과학
050 0 0 ▼a QA76.9.E96 ▼b H37 1985
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090 ▼a 006.33 ▼b H288e
100 1 ▼a Harmon, Paul.
245 1 0 ▼a Expert systems : ▼b artificial intelligence in business / ▼c Paul Harmon and David King.
260 ▼a New York : ▼b J. Wiley , ▼c c1985.
300 ▼a xii, 283 p. : ▼b ill. ; ▼c 25 cm.
490 ▼a "A Wiley Press book".
500 ▼a Includes index.
504 ▼a Bibliography: p. [274]-278.
650 0 ▼a Expert systems (Computer science).
650 0 ▼a Artificial intelligence.
650 0 ▼a Business ▼x Data processing.
700 1 ▼a King, David , ▼d 1949-.

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
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No. 1 소장처 세종학술정보원/과학기술실(5층)/ 청구기호 003.33 H288e 등록번호 452074486 도서상태 대출가능 반납예정일 예약 서비스 B M ?

컨텐츠정보

책소개

Introduces readers to the basic principles and the exciting promise of a new generation of computer programs known as knowledge or expert systems, and their associated technologies. Explains what they do, how they work, and how they will be used to increase efficiency and productivity. Knowledge systems are computer programs that can help solve problems in the same fashion as human experts. Many studies have concluded that in the course of the next 20 years, knowledge systems will revolutionize the way businesses are conducted, and this book provides a preview of how that revolution will occur.


정보제공 : Aladin

목차


CONTENTS
Foreword = ⅸ
Preface = xi
 1. Introduction = 1
 Artificial Intelligence·Knowledge-Based Expert Systems·Conventional Programming Versus Knowledge Engineering·The Expert Systems Market
Section One Basic Concepts and Techniques = 13
 2. MYCIN = 15
  MYCIN's Expertise·A Consultation with MYCIN·How Good an Expert Is MYCIN?·Summary = 15
 3. Human Problem Solving = 22
  Human Information Processing·The Production System as a Processing Model·Problem Solving·Varieties of Knowledge·The Nature of Expertise·Summary
 4. Representing Knowledge = 34
  An Informal Look at a Knowledge Base·Strategies for Representing Knowledge·Semantic Networks·Object-Attribute-Value Triplets·Rules·Frames·Representing Facts and Relationships Using Logic·Summary
 5. Drawing Inferences = 49
  Inference·Control·The Future of Representation and Inference·Summary
 6. MYCIN Revisited = 61
  Where Is the Expertise in MYCIN?
Section Two Languages, Tools, and Systems = 77
 7. Languages and Tools = 79
  Levels of Software·The Language-Tool Continuum·AI Languages and Environments·Knowledge Engineering Tools
 8. Commercial Tools = 92
  Categories of Tools·Consultation Paradigms·Cost Considerations·Training and User Interface Issues·Evaluating Knowledge Engineering Tools·Commercially Available Tools·Small System Building Tools·ES / P ADVISOR·Expert-Ease·INSIGHT Knowledge System·M.1·Personal Consultant·Additional Small Tools·Large Narrow System Building Tools·EXPERT·KES-Knowledge Engineering System·OPS5·S.1·TIMM-The Intelligent Machine Model·Large, Hybrid System Building Tools·ART-The Automated Reasoning Tool·KEE-The Knowledge Engineering Environment·LOOPS·Additional Large Tools·Summary
 9. Early Systems = 134
  DENDRAL·MACSYMA·HEARSAY Ⅰ and Ⅱ·INTERNIST / CADUCEUS·PROSPECTOR·PUFF
 10. Recent Systems = 155
  XCON(RI), XSEL·GENESIS·DELTA / CATS 1·DRILLING ADVISOR·A Microprocessor Based Electrophoresis Interpreter·Summary
Section Three Developing Expert Systems = 175
 11. Building a Small Knowledge System = 177
  The Role of Small Systems·Building a Small System·Summary
 12. How Large Knowledge Systems Are Developed = 195
  Knowledge Engineering·Knowledge System Development·Phase Ⅰ : Selection of an Appropriate Problem·Phase Ⅱ : Development of a Prototype System·Phase Ⅲ : Development of a Complete Expert System·Phase Ⅳ : Evaluation of the System·Phase ⅴ : Integration of the System·Phase Ⅵ : Maintenance of the System
Section Four The Expert Systems Market = 209
 13. The Market for Knowledge Engineering = 211
  What Needs Will Drive the Knowledge Engineering Market?·How Will the Knowledge Engineering Market Be Organized?·How Will Businesses Use Knowledge Systems?·The Macroenvironment·Capitalization of AI·Summary
 14. Knowledge Systems in the Next Five Years = 226
  Types of Companies·Types of Systems·Large, Hybrid Systems·Large, Narrow Systems·Professional Workstations·Small, Specialized Systems·Smart Generic Software·Systems in Hardware·Other Applications
 15. Expert Systems for Training = 236
  Education Versus Training·STEAMER·DEBUGGY·GUIDON·DELTA·PUFF·Other Training Applications·Training Managers and Salespeople
 16. Preparing for the Knowledge Systems Revolution = 249
  Acquiring More Knowledge·Seminars and Consultants·Experimenting with Small Systems·Hiring Outside Consultants·Developing an In-House Knowledge Engineering Group·A Final Word
Appendixes = 255
Appendix A. Glossary = 257
Appendix B. Companies Active in Expert Systems and AI-Related Research = 268
Appendix C. References = 274
Index = 279


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