Building expert systems
The rise of the expert company
The rise of the expert company
Basic concepts in object oriented programming
OOPWORK '86 Proceedings of the 1986 SIGPLAN workshop on Object-oriented programming
Classification in object-oriented systems
OOPWORK '86 Proceedings of the 1986 SIGPLAN workshop on Object-oriented programming
A collaborative fuzzy expert system for the Web
ACM SIGMIS Database
Web-based expert systems: benefits and challenges
Information and Management
The effects of structural characteristics of explanations on use of a DSS
Decision Support Systems
Journal of Management Information Systems
A frame knowledge system for managing financial decision knowledge
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Web-based expert systems: benefits and challenges
Information and Management
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The field of expert systems began in a very quiet way. A few AI researchers, who grew tired of searching for the illusive general-purpose reasoning machine, turned their attention toward well-defined problems where human expertise was the cornerstone for solving the problems. This switch in effort soon met with success and a new term was coined to define these programs: expert systems.Although the number of expert systems developed during these early days were modest, the promise of this technology rippled throughout the AI community. More systems were built and many predictions were made on how this new technology would revolutionize the computer industry. So how well has the field fared? Has it met the earlier predictions or has it fallen short as some critics have claimed?This article attempts to answer these questions through an analysis of an extensive survey of developed expert systems. It also provides a sense of the field's health.