USING ARTIFICIAL INTELLIGENCE TECHNIQUES TO ENHANCE THE CAPABILITIES OF MODEL MANAGEMENT SYSTEMS
回顾了决策支持系统中模型管理软件环境的任务，分析了现有原型系统如何提供支持，并展示了利用人工智能技术构建未来模型管理系统的三种场景。
ABSTRACT Decision Support Systems (DSSs) originally were proposed as interactive problem‐solving vehicles through which models and analytical techniques could be made available to decision makers. Model management represents a line of research within the DSS field that focuses on the design and implementation of software environments to support the use of DSSs for this purpose. This paper describes the tasks that must be supported within these environments and illustrates how existing prototype Model Management Systems (MMSs) implementations provide this support. The use of artificial intelligence techniques in such implementations are reveiwed, and three scenarios are presented to show how future MMSs could be constructed using these techniques.