| Acknowledgments | |
| About the editors | |
| Introduction | |
| The state of the practice | |
| An overview of intelligent systems technology | p. 3 |
| The development of artificial intelligence | p. 52 |
| Lessons learned building expert systems | p. 60 |
| Validating expert system performance | p. 70 |
| Tools and techniques | |
| Knowledge acquisition for expert systems: Some pitfalls and suggestions | p. 85 |
| The knowledge acquisition activity matrix: A systems engineering conceptual framework | p. 99 |
| Knowledge representation in the real world | p. 120 |
| Building knowledge-based systems with procedural languages | p. 127 |
| Conventional languages and AI | p. 138 |
| How to choose natural language software | p. 146 |
| Application areas | |
| Applications in manufacturing and design | |
| On-line expert systems in process industries | p. 165 |
| ASDEP: An expert system for electric power plant design | p. 176 |
| Knowledge-based computer-aided design of materials handling systems | p. 189 |
| Intelligent computer-assisted instructional systems | |
| Intelligent computer-aided instruction: A survey organized around system components | p. 205 |
| An expert system for instructional design | p. 235 |
| Intelligent tutoring systems: A tutorial survey | p. 250 |
| Defense applications of artificial intelligence | |
| Artificial intelligence and simulation: An application to logistics modeling | p. 283 |
| AALPS: A knowledge-based system for aircraft loading | p. 298 |
| Expert system technology for the military: Selected examples | p. 308 |
| Artificial intelligence for national defense: Real, imagined and likely applications | p. 351 |
| Financial applications of intelligent systems technology | |
| The Citibank pension expert | p. 363 |
| INVEST: An expert system for financial investments | p. 368 |
| Applications in robotics | |
| Mobile robots: Real-time intelligent control of mobile robots | p. 381 |
| Ambler: An autonomous rover for planetary exploration | p. 395 |
| Applied natural language | |
| The natural language-database connection | p. 407 |
| KID: Designing a knowledge-based natural language interface | p. 421 |
| The intelligent assistant | p. 441 |
| Artificial intelligence and the airline industry | |
| Globe-trotter: An intelligent flight itinerary planner | p. 455 |
| GATES: An airline gate assignment and tracking expert system | p. 470 |
| Artificial intelligence and the legal system | |
| Expert systems and the law | p. 481 |
| A case-based approach to modeling legal expertise | p. 486 |
| The potential of artificial intelligence to help solve the crisis in the legal system | p. 497 |
| Knowledge-based software engineering | |
| KBRA: A new paradigm for requirements engineering | p. 519 |
| Knowledge-based support for rapid software prototyping | p. 530 |
| Design of knowledge-based systems with a knowledge-based assistant | p. 539 |
| Issues, challenges and new frontiers | |
| Why expert systems do not exhibit expertise | p. 573 |
| Artificial intelligence and computable problems | p. 582 |
| Artificial intelligence today | p. 594 |
| Psychology today and artificial intelligence tomorrow | p. 601 |
| How evaluation guides AI research | p. 621 |
| Neurocomputing: Picking the human brain | p. 636 |
| Foundations and grand challenges of artificial intelligence | p. 644 |
| Index | p. 666 |
| Table of Contents provided by Blackwell. All Rights Reserved. |