Exploring Artificial Intelligence - 1st Edition - ISBN: 9780934613675, 9781483214450

Exploring Artificial Intelligence

1st Edition

Survey Talks from the National Conferences on Artificial Intelligence

Editors: Howard E. Shrobe
eBook ISBN: 9781483214450
Imprint: Morgan Kaufmann
Published Date: 25th December 1988
Page Count: 708
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Exploring Artificial Intelligence: Survey Talks from the National Conference on Artificial Intelligence provides information pertinent to the distinct subareas of artificial intelligence research. This book discusses developments in machine learning techniques.

Organized into six parts encompassing 16 chapters, this book begins with an overview of intelligent tutoring systems, which describes how to guide a student to learn new concepts. This text then links closely with one of the concerns of intelligent tutoring systems, namely how to interact through the utilization of natural language. Other chapters consider the various aspects of natural language understanding and survey the huge body of work that tries to characterize heuristic search programs. This book discusses as well how computer programs can create plans to satisfy goals. The final chapter deals with computational facilities that support.

This book is a valuable resource for cognitive scientists, psychologists, domain experts, computer scientists, instructional designers, expert teachers, and research workers.

Table of Contents


Part I: Teaching and Learning

1 Intelligent Tutoring Systems: A Survey

2 An Introduction to Explanation-Based Learning

Part II: Interacting Through Language

3 Knowledge-based Natural Language Understanding

4 Namral-Language Interfaces

Part III: Planning and Search

5 Reasoning About Plans and Actions

6 Search: A Survey of Recent Results

Part IV: Reasoning About Mechanisms and Causality

7 Qualitative Physics: Past, Present, and Future

8 Model-Based Reasoning: Troubleshooting

9 Artificial Intelligence Techniques for Diagnostic Reasoning in Medicine

Part V: Theoretical Underpinnings

10 Evidential Reasoning Under Uncertainty

11 Temporal Reasoning in Artificial Intelligence

12 Nonmonotonic Reasoning

13 A Survey of Automated Deduction

Part VI: Architecture and Systems

14 Symbolic Computing Architectures

15 The Common LISP Object System: An Example of Integrating Programming Paradigms

16 Artificial Intelligence and Software Engineering

Acknowledgments and Figure Credits



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© Morgan Kaufmann 1988
Morgan Kaufmann
eBook ISBN:

About the Editor

Howard E. Shrobe

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