Expert systems for configuration at Digital: XCON and beyond

TL;DR: This survey unify the disparate literature on sequential decision models to improve comprehensibility and accessibility and separate formulation of sequential decision Models from solution techniques.

TL;DR: This book represents the first time that corporate and academic worlds collaborate integrating research and commercial benefits of knowledge-based configuration.

TL;DR: The authors used generative constraint satisfaction as the basis for Lava, an automated configuration they developed for the complex domain of telephone switching systems, using Cocos, their knowledge-based configuration tool.

TL;DR: R1 is a program that configures VAX-11/780 computer systems and uses Match as its principal problem solving method; it has sufficient knowledge of the configuration domain and of the peculiarities of the various configuration constraints that at each step in the configuration process, it simply recognizes what to do.

TL;DR: Book of rise of the expert company, as an amazing reference becomes what you need to get, as a source that may involve the facts, opinion, literature, religion, and many others are the great friends to join with.

TL;DR: R1's knowledge has increased substantially and its usefulness to Digital continues to grow and this article describes what is involved in extending R1's performance during the four year period.

TL;DR: Evaluated the potential for enhanced maintainability of XCON-in-RIME over XCON, a rule-based expert system that configures computer systems that is increasingly becoming more difficult to change.