The role of frame-based representation in reasoning
Communications of the ACM
Artificial intelligence in business, science, and industry. Vol. II: applications
Artificial intelligence in business, science, and industry. Vol. II: applications
Expert systems for business
Knowledge-based decision support systems for military procurement
Expert systems for business
Expert systems: how far can they go? part two
AI Magazine
Society of Mind: a response to four reviews
Artificial Intelligence
A structured methodology for developing production systems
Decision Support Systems
The New Science of Management Decision
The New Science of Management Decision
Decision Support Systems and Intelligent Systems
Decision Support Systems and Intelligent Systems
| Hi-index | 0.00 |
This chapter describes the development of a system to assist teams in determining which problems to address and what data to collect in order to incrementally improve business processes. While prototyping is commonly advocated for expert system development, this project used a structured development methodology comprising requirements analysis, knowledge acquisition, and system development. The knowledge acquisition phase resulted in a logical model, which specified the decision task and suggested a system structure. The field prototype developed from this model uses procedural cuing to guide decision makers through a decision making process. The system provides decision support, interactive training, and expert advice.