Cargando…
Knowledge and inference /
Knowledge and Inference discusses an important problem for software systems: How do we treat knowledge and ideas on a computer and how do we use inference to solve problems on a computer? The book talks about the problems of knowledge and inference for the purpose of merging artificial intelligence...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés Japonés |
| Publicado: |
Boston :
Academic Press : Harcourt Brace Jovanovich,
�1990.
|
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Front Cover; Knowledge and Inference; Copyright Page; Table of Contents; Preface; Reader's Guide; Chapter 1. What Is Knowledge?; 1.1 How Knowledge Is Seen in Philosophy; 1.2 Method in Natural Science; 1.3 Knowledge in Artificial Intelligence; 1.4 Factual Knowledge; 1.5 Inference Knowledge; Summary; Key Words; Exercises; Chapter 2. Factual Knowledge and Its Organization; 2.1 The Organization of Document Information; 2.2 Organization of Factual Knowledge; 2.3 Thesaurus; 2.4 Storage Structure of Information; 2.5 Information Retrieval; 2.6 Mathematical Theory of Classification; Summary; Key Words
- ExercisesChapter 3. Inferential Knowledge and Problem-Solving (I); 3.1 State-Space Representation of a Problem; 3.2 Search Tree; 3.3 Programs for Game-Tree Search; 3.4 Graph Search; 3.5 Characteristics of Problem-Solving Using State-Representations; 3.6 Discovery of an Algorithm; Summary; Key Words; Exercises; Chapter 4. Inferential Knowledge and Problem-Slving (II); 4.1 Use of Heuristic Knowledge; 4.2 Finding a Solution by the Decomposition of a Problem; 4.3 Blackboard Model; 4.4 Knowledge as a Constraint; 4.5 Mutual Model; Summary; Key Words; Exercises
- Chapter 5. Inference Using Symbolic Logic5.1 Expressions of Rules Using Symbolic Logic; 5.2 Proof Using Forward and Backward Reasoning; 5.3 Proof Using the Resolution Principle; 5.4 Forms of Questions; 5.5 Logical Representation of a Database; 5.6 Inference in Changing Situations; 5.7 Other Inference Methods; Summary; Key words; Exercises; Chapter 6. Knolwedge Representation and Question-Answering; 6.1 Semantic Networks; 6.2 Frames and Scripts; 6.3 Dialogue Model; Summary; Key Words; Exercises; Chapter 7. Expert Systems; 7.1 Features of Expert Systems; 7.2 Production Systems
- 7.3 A Program for Forward Reasoning7.4 A Program for Backward Reasoning; 7.5 Reliability of Inference; 7.6 Dialogue with a User; 7.7 Characteristics of an Expert System; Summary; Key Words; Exercises; Answers to Exercises; Recommended Books; Index