Topics in Expert System Design : Methodologies and Tools
Expert Systems are so far the most promising achievement of artificial intelligence research. Decision making, planning, design, control, supervision and diagnosis are areas where they are showing great potential. However, the establishment of expert system technology and its actual industrial impact are still limited by the lack of a sound, general and reliable design and construction methodology. This book has a dual purpose: to offer concrete guidelines and tools to the designers of expert systems, and to promote basic and applied research on methodologies and tools. It is a coordina
1 online resource (450 pages).
9781483297774, 1483297772
1041190612
Front Cover; Topics in Expert System Design: Methodologies and Tools; Copyright Page; Table of Contents; PREFACE; Part I: Life cycle; CHAPTER 1. BUILDING EXPERT SYSTEMS: FROM LIFE CYCLE TO DEVELOPMENT METHODOLOGY; 1. Introduction; 2. Literature proposals: a survey; 3. Expert system life cycle: motivations and requirements; 4. A life cycle for expert systems; 5. From life cycle to development methodology; 6. Conclusion; Acknowledgments; References; Part II: Domain evaluation; CHAPTER 2. CHOOSING AN EXPERT SYSTEM DOMAIN; 1. INTRODUCTION; 2. THE PROCESS OF DOMAIN EVALUATION AND SELECTION. 3. DESIRED PROPERTIES OF AN EXPERT SYSTEM DOMAIN4. UTILIZING THE DOMAIN SELECTION PROCESS; ACKNOWLEDGMENT; REFERENCES; Part III: Design techniques; CHAPTER 3. PROTOTYPING: TOOLS AND MOTIVATIONS; 1 . INTRODUCTION; 2. WHY PROTOTYPE; 3. KNOWLEDGE CRAFT; 4. RAPID PROTOTYPING METHODOLOGY; 5. EXAMPLE; 6. CONCLUSION; References; CHAPTER 4. FAST PROTOTYPING OF EXPERT SYSTEMS USING PROLOG; 1. INTRODUCTION; 2. IMPLEMENTING EXPERT SYSTEMS IN PROLOG; 3. PROGRAMMING BASIC MECHANISMS OF RULE-BASED EXPERT SYSTEMS IN PROLOG; 4 . IMPLEMENTING KNOWLEDGE REPRESENTATION FORMALISMS IN PROLOG; 5. CONCLUSIONS. 4. INTEGRATED APPROACH TO KNOWLEDGE-BASED SYSTEMS5. MULTIPLE KNOWLEDGE REPRESENTATIONS; 6. Learning Capabilities; 7. Problem Solving Using Multiple Representations; 8. Experiments Using the Integrated Approach; 9. Design of a Language for Integrated Knowledge-based Systems; 10. Bringing It All Together
QUIN; REFERENCES; CHAPTER 7. KNOWLEDGE BASE DESIGN AND CONSTRUCTION: FROM PROTOTYPING TO REFINEMENT; 1. Introduction; 2. Expert Problem Solving and Expert Systems; 3. Rule-based Expert Systems; 4. Selected Examples of Rule-based Expert Systems. 5. Knowledge Acquisition and the Construction of Rule-based Systems6. Phases of Knowledge Base Design and Construction; 7. Expert System Evaluation and Knowledge Base Validation; 8. Conclusions; References; Part IV: Development tools; CHAPTER 8. EXPERT SYSTEM BUILDING TOOLS; 1. INTRODUCTION; 2. SPIN-OFF TOOLS; 3. KNOWLEDGE ENGINEERING LANGUAGES; 4. TOOLKITS; 5. PURPOSE BUILT SHELLS; 6. SPECIAL PURPOSE TOOLKITS; 7. LANGUAGE, SHELL OR TOOLKIT?; 8. THE FUTURE; REFERENCES; CHAPTER 9. EXPERT SYSTEM TOOL EVALUATION; 1. Introduction; 2. Background; 3. The Tool Evaluation Framework; 4. Methodology
5. Conclusions