Exploring Artificial Intelligence
Survey Talks from the National Conferences on Artificial Intelligence
Published on 12. May 2014
708 pages
978-1-4832-1445-0 (ISBN)
Description
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.
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Howard E. Shrobe
Exploring Artificial Intelligence
Survey Talks from the National Conferences on Artificial Intelligence
Book
05/2000
Morgan Kaufmann
€48.42
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Content
PrefacePart I: Teaching and Learning 1 Intelligent Tutoring Systems: A Survey 2 An Introduction to Explanation-Based LearningPart II: Interacting Through Language 3 Knowledge-based Natural Language Understanding 4 Namral-Language InterfacesPart III: Planning and Search 5 Reasoning About Plans and Actions 6 Search: A Survey of Recent ResultsPart 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 MedicinePart V: Theoretical Underpinnings 10 Evidential Reasoning Under Uncertainty 11 Temporal Reasoning in Artificial Intelligence 12 Nonmonotonic Reasoning 13 A Survey of Automated DeductionPart 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 EngineeringAcknowledgments and Figure CreditsIndex
