Exploring artificial intelligence : survey talks from the National Conferences on Artificial Intelligence /
Clasificación: | Libro Electrónico |
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Autores Corporativos: | , , |
Otros Autores: | |
Formato: | Electrónico Congresos, conferencias eBook |
Idioma: | Inglés |
Publicado: |
San Mateo, Calif. :
Morgan Kaufmann Publishers,
�1988.
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Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Front Cover; Exploring Artificial Intelligence: Survey Talks from the National Conferences on Artificial Intelligence; Copyright Page; Table of Contents; Preface; Acknowledgments; PART I: TEACHING AND LEARNING; Chapter 1. Intelligent Tutoring Systems: A Survey; Introduction; Three Case Examples; Accomplishments Thus Far; More Case Examples; Evaluating Tutoring Systems; Controversies; Bottlenecks, Barriers, and Breakthroughs; Conclusions; References; Chapter 2. An Introduction to Explanation-based Learning; Introduction; An Intuitive Specification of EBL
- Explanation-based and Similarity-based LearningTypes of Generalization; Formalisms for Explanation-based Learning; What the Formalisms Miss; The History of EBL; Continuing Research Issues; Conclusions; Acknowledgments; References; PART II: INTERACTING THROUGH LANGUAGE; Chapter 3. Knowledge-based Natural Language Understanding; 1 Introduction; 2 Knowledge Structures; 3 Marker Passing; 4 Syntax and Semantics; 5 Analogical Reasoning and Language; 6 Episodic and Semantic Memory; 7 Conclusions; Questions and Answers; Acknowledgments; References; Chapter 4. Natural-Language Interfaces
- 1 Introduction2 An Overview of the Problems; 3 Constraints on Interpretation; 4 System Architectures; 5 Methods; 6 Future Directions; Acknowledgments; References; PART III: PLANNING AND SEARCH; Chapter 5. Reasoning About Plans and Actions; 1 Introduction; 2 The Representation of Actions and Events; 3 Plan Synthesis; 4 Multiagent Domains; 5 Embedded Systems; Acknowledgments; References; Chapter 6. Search: A Survey of Recent Results; 1 Introduction; 2 Brute-Force Searches; 3 Heuristic Search; 4 Abstraction; 5 Two-Player Games; 6 Real-Time Single-Agent Search; 7 Constraint-Satisfaction Problems
- 8 Major Open Problems9 Conclusion; References; PART IV: REASONING ABOUT MECHANISMS AND CAUSALITY; Chapter 7. Qualitative Physics: Past, Present, and Future; 1 Introduction; 2 Why Qualitative Ptiysics?; 3 The Past; 4 The State of the Art; 5 The Frontier; Acknowledgments; References; Chapter 8. Model-based Reasoning: Troubleshooting; 1 Introduction; 2 The Basic Taslc; 3 Altemate Approaches; 4 Organization and Vocabulary; 5 Describing Structure and Behavior; 6 Three Fundamental Tasks; 7 Interim Conclusions; 8 The Research Issues; 9 Summary; Acknowledgments; References
- Chapter 9. Artificial Intelligence Techniques for Diagnostic Reasoning in Medicine1 Historical Perspective; 2 Sequential Bayesian Diagnosis; 3 Limiting ttte Number of Active Hypotheses; 4 Diagnostic Reasoning Using Multiple Hierarchies; 5 Problems in Dealing with Multiple Disorders; 6 Diagnosing Multiple Interacting Diseases; 7 Where Do We stand?; Acknowledgments; References; PART V: THEORETICAL UNDERPINNINGS; Chapter 10. Evidential Reasoning Under Uncertainty; 1 Introduction; 2 Extensional Systems: Merits, Deficiencies, and Remedies; 3 Intensional Systems and Network Representations