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BuchKartoniert, Paperback
374 Seiten
Englisch
Springererschienen am23.08.2014Softcover reprint of the original 1st ed. 1989
Based on a number of sample systems of varying complexity, this book illustrates the practical aspects of developing expert systems and knowledge-based applications software. The complete, functional code for the sample systems is provided in the appendix and can be used as a basis for further development.mehr
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BuchKartoniert, Paperback
EUR53,49
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Produkt

KlappentextBased on a number of sample systems of varying complexity, this book illustrates the practical aspects of developing expert systems and knowledge-based applications software. The complete, functional code for the sample systems is provided in the appendix and can be used as a basis for further development.
Details
ISBN/GTIN978-3-642-74305-4
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2014
Erscheinungsdatum23.08.2014
AuflageSoftcover reprint of the original 1st ed. 1989
Seiten374 Seiten
SpracheEnglisch
IllustrationenXI, 374 p. 4 illus.
Artikel-Nr.32591344

Inhalt/Kritik

Inhaltsverzeichnis
1 Introduction.- 1.1 What Do We Mean by Expert System?.- 1.2 What Is Prolog?.- 1.3 Which Implementation of Prolog Are We Using?.- 1.4 How Is This Lab Structured?.- 2 Characteristics and Components of an Expert System.- 2.1 The Concept and Areas of Application.- 2.2 Human Versus Machine Knowledge.- 2.3 Knowledge Base and Knowledge Bank.- 2.4 Rule Knowledge.- 2.5 The Inference Engine.- 2.6 Instantiation of Variables.- 2.7 Applications Problems.- 2.8 Classification of Typical Expert Systems.- 3 A Model System for Transit Fare Information.- 3.1 The Problem.- 3.2 Transit Fare Rules.- 3.3 Conducting a Dialog.- 3.4 Control Structure and the Rule Interpreter.- 3.5 Gathering Case Data.- 3.6 The Inference Tree and Protocolling.- 3.7 Explanations.- 3.8 Equivalent Answers.- 3.9 Weaknesses and Possible Improvements.- 4 The Representation and Processing of Knowledge.- 4.1 System Architecture.- 4.2 System Development.- 4.3 Modularization.- 4.4 Knowledge Structures and Deductive Mechanisms.- 4.5 Production Systems.- 4.6 The Direction of Chaining.- 4.7 Inference Trees.- 4.8 Rule Modification and Non-monotonic Logic.- 4.9 Control of Flow.- 5 Dialog and Explanatory Components.- 5.1 Implicit Dialog Texts.- 5.2 The Structure and Processing of Rules.- 5.3 Facts and Degrees of Certainty.- 5.4 The Inference Engine.- 5.5 Gathering Case Data.- 5.6 Vague Knowledge.- 5.7 Instructing the User to Perform a Test.- 5.8 Explaining the Reason for a Question.- 5.9 Presenting and Explaining the Results.- 5.10 Why Not Explanations.- 5.11 Listing the Current Contents of the Fact Base.- 5.12 Shortcomings and Possible Improvements.- 6 Experience and Learning .- 6.1 User Hunches.- 6.2 Diagnostic Phases.- 6.3 Heuristics.- 6.4 Diagnostic Statistics.- 6.5 Learning from Experience.- 6.6Shortcomings and Possible Improvements.- 7 Object-Oriented Knowledge Management.- 7.1 Objects, Instances and Classes.- 7.2 Representing Objects with Frames.- 7.3 The Organization of an Object Base.- 7.4 Primitive Operations for Managing Objects.- 7.5 The Knowledge Base for Software License Administration.- 7.6 The Primitives for Accessing Objects.- 7.7 Displaying Complex Structures.- 7.8 The System as an Object.- 7.9 Shortcomings and Possible Improvements.- 8 Frames and Procedures.- 8.1 Interactive Definition of New Objects.- 8.2 The Dialog for Constructing a New Object.- 8.3 Acquiring and Evaluating User Input.- 8.4 Procedural Components.- 8.5 Managing Free Format Text in External Memory.- 8.6 Assistance Systems for Information Preparation.- 8.7 Building an Intelligent Index Manager.- 8.8 Shortcomings and Possible Improvements.- 9 The Representation and Use of Constraints.- 9.1 Configuration and Selection Systems.- 9.2 The Coupling Expert .- 9.3 Functions and the Structure of Knowledge.- 9.4 Characteristic Object Data.- 9.5 Entering and Displaying Objects.- 9.6 Primitive Access Predicates.- 9.7 Represention of the Computational Formulas.- 9.8 Constraints on the Coupling Selection.- 9.9 The Complete Analysis of a Coupling.- 10 Embedding the System.- 10.1 Dialog Flow.- 10.2 The Menu Interface.- 10.3 Displaying Objects.- 10.4 The Selection of Objects.- 10.5 Maintaining a Protocol.- 10.6 Applying Metaknowledge.- 10.7 Preparing a Suggestion for Coupling Construction.- 10.8 Shortcomings and Possible Improvements.- 11 Software Development Methodology.- 11.1 Knowledge-Based Software Technology.- 11.2 Project Flow.- 11.3 Problem Specification.- 11.4 The Prototype.- 11.5 The Organization of Knowledge.- 11.6 Inference Strategies.- 11.7 Modularization ofthe Knowledge Base.- 11.8 Knowledge Representation.- 11.9 Representing Metaknowledge.- 11.10 Metasystems.- 11.11 Project Execution.- A The MTA Expert .- A.1 Start-up Procedure.- A.2 Module mta .- A3 Module controlling .- A.4 Module dialog .- A.5 Module explanation .- A.6 Module aux-programs .- A.7 Module rule-base .- B The System for Finding Defects in Automobile Heaters.- B.1 Start-up Procedure.- B.2 Module main_prog .- B.3 Module knowledge-base .- B.4 Module test-aids .- B.5 Module dialog .- B.6 Module aux-predicates .- B.7 Module init .- B.8 Module explanation .- B.9 Module hypotheses .- B.10 Module learn .- B.11 Module endless .- C The License and Memo Manager.- C.1 Initialization Procedure.- C.2 Start-up Procedure.- C.3 Module primitives .- C.4 Module frames .- C.5 Module attachments .- C.6 Module help .- C.7 Module memos .- C.8 Module input-output .- D The Coupling Expert .- D.1 Start-up Procedure.- D.2 Module drive .- D.3 Module load .- D.4 Module assembly .- D.5 Module coupling .- D.6 Module frame .- D.7 Module gen_frames .- D.8 Module reading .- D.9 Module show .- D.10 Module fillout .- D.11 Module constraints .- D.12 Module procedures .- D.13 Module requirement .- D.14 Module controlling .- D.15 Module auxiliary_pred .- D.16 Module explanation .- D.17 Module metaknowledge .- Further Reading.mehr