Pattern-directed inference systems /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: Workshop on Pattern-Directed Inference Systems Honolulu, Hawaii
Otros Autores: Waterman, D. A. (Donald Arthur), 1936-, Hayes-Roth, Frederick
Formato: Electrónico Congresos, conferencias eBook
Idioma:Inglés
Publicado: New York : Academic Press, 1978.
Temas:
Artificial intelligence > Congresses.
Cognition > Congresses.
Intelligence artificielle > Congr�es.
Cognition > Congr�es.
Artificial intelligence.
Cognition.
Kognitiver Prozess
K�unstliche Intelligenz
Kunstmatige intelligentie.
Cognitie.
Systemen.
Congress
Conference papers and proceedings.
Actes de congr�es.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Front Cover; Pattern-Directed Inference Systems; Copyright Page; Table of Contents; LIST OF CONTRIBUTORS; PREFACE; Part I: Introduction; CHAPTER1. AN OVERVIEW OF PATTERN-DIRECTED INFERENCE SYSTEMS; 1.0 BASIC CONCEPTS; 2.0 STRUCTURE OF PATTERN-DIRECTED INFERENCE SYSTEMS; 3.0 EARLY WORK WITH PATTERN-DIRECTED INFERENCE SYSTEMS; 4.0 CURRENT USE OF PATTERN-DIRECTED INFERENCE SYSTEMS; 5.0 CONCLUSIONS; Part II: Architecture and Design; CHAPTER 2. DESIGNING A RULE SYSTEMTHAT SEARCHES FOR SCIENTIFIC DISCOVERIES; 1.0 THE BASIC ARGUMENT; 2.0 EARLY DESIGN CONSTRAINTS
  • 3.0 AM: A RULE SYSTEM FOR MATH THEORY FORMATION4.0 REEXAMINING THE DESIGN; 5.0 SPECULATIONS FOR A NEW DISCOVERY SYSTEM; ACKNOWLEDGMENTS; CHAPTER 3. USE OF PRODUCTION SYSTEMS FOR MODELING ASYNCHRONOUS, CONCURRENT PROCESSES; 1.0 INTRODUCTION; 2.0 PROCESS REPRESENTATION; 3.0 KNOWLEDGE REPRESENTATION; 4.0 A REPRESENTATION FOR ASYNCHRONOUS, CONCURRENT PROCESSES; 5.0 AN EXAMPLE; 6.0 CONCLUSION; ACKNOWLEDGMENTS; CHAPTER 4. SPONTANEOUS COMPUTATION AND ITS ROLESIN AI MODELING; 1.0 INTRODUCTION; 2.0 BACKGROUND; 3.0 SPONTANEOUS COMPUTATION; 4.0 THEORETICAL ROLES OF SC IN AI MODELS; 5.0 SUMMARY
  • ACKNOWLEDGMENTSCHAPTER5. KNOWLEDGE ACQUISITION IN RULE-BASED SYSTEMS-KNOWLEDGE ABOUT REPRESENTATIONS AS A BASIS FOR SYSTEM CONSTRUCTION AND MAINTENANCE; 1.0 INTRODUCTION; 2.0 PERSPECTIVE; 3.0 THE PROBLEM; 4.0 THE SOLUTION; 5.0 BACKGROUND: THE PERFORMANCE PROGRAM AND INTERACTIVE TRANSFEROF EXPERTISE; 6.0 EXAMPLE: ACQUISITION OF A NEW VALUE; 7.0 KNOWLEDGE ABOUT REPRESENTATIONS:ORGANIZATION; 8.0 KNOWLEDGE ABOUT REPRESENTATIONS: USE; 9.0 ""KNOWLEDGE ABOUT KNOWLEDGE ABOUTREPRESENTATIONS; 10.0 LEVELS OF KNOWLEDGE; 11.0 RANGE OF APPLICABILITY; 12.0 CAPABILITIES OF THE CURRENT IMPLEMENTATION
  • 13.0 MULTIPLE PERSPECTIVES ON KNOWLEDGE14.0 SUMMARY; ACKNOWLEDGMENTS; CHAPTER6. AN INSTRUCTABLE PRODUCTION SYSTEM: BASIC DESIGN ISSUES; 1.0 INSTRUCTION TASKS AND LARGE PRODUCTIONSYSTEMS; 2.0 THE INITIAL INSTRUCTABLE SYSTEM; 3.0 SAMPLE SYSTEM BEHAVIOR; 4.0 CONCLUSIONS; CHAPTER7. THE EFFICIENCY OF CERTAIN PRODUCTION SYSTEM IMPLEMENTATIONS; 1.0 INTRODUCTION; 2.0 IMPLEMENTATION ALGORITHMS; 3.0 ESTIMATED-COST FORMULAS; 4.0 EXPERIMENTAL RESULTS; 5.0 CONCLUSIONS; APPENDIX; CHAPTER8. PRODUCTION SYSTEM CONFLICT RESOLUTION STRATEGIES; 1.0 INTRODUCTION; 2.0 CONFLICT RESOLUTION
  • 3.0 POSSIBLE CONFLICT RESOLUTION RULES4.0 EVALUATION OF THE RULES; 5.0 COMBINATIONS OF CONFLICT RESOLUTION RULES; 6.0 CONCLUDING REMARKS; ACKNOWLEDGMENTS; Part III: Deductive Inference; CHAPTER9. SEMANTIC NETWORK REPRESENTATIONS IN RULE-BASED INFERENCE SYSTEMS; 1.0 INTRODUCTION; 2.0 PARTITIONED SEMANTIC NETWORKS; 3.0 INFORMATION PROPAGATION IN INFERENCENETWORKS; 4.0 CURRENT IMPLEMENTATION; 5.0 DISCUSSION; ACKNOWLEDGMENTS; CHAPTER10. PLANNING TECHNIQUES FOR RULE SELECTION IN DEDUCTIVE QUESTION-ANSWERING; 1.0 INTRODUCTION; 2.0 ORGANIZATION AND REPRESENTATION OFKNOWLEDGE

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