Future Generation Computer Systems
Communications of the ACM - Special issue on LISP
Object-oriented modeling and design
Object-oriented modeling and design
ANSI Common Lisp
Knowledge engineering and management: the CommonKADS methodology
Knowledge engineering and management: the CommonKADS methodology
Expert Systems in Computer-Aided Design: Proceedings of the IFIP WG 5.2 Working Conf. Sydney, Australia 17-20 Feb., 1987
Knowledge Engineering in Computer-Aided Design: Proceedings of the IFIP WG 5.2 Working Conference on Knowledge Engineering in Computer-Aided Degin, Budapest, Hungary, 17-19 September, 1984
Advances in Engineering Software
The MOKA Modelling Language (Short Paper)
EKAW '00 Proceedings of the 12th European Workshop on Knowledge Acquisition, Modeling and Management
Practical Common Lisp
Unified Modeling Language User Guide, The (2nd Edition) (Addison-Wesley Object Technology Series)
Unified Modeling Language User Guide, The (2nd Edition) (Addison-Wesley Object Technology Series)
Intelligent computer-aided design systems: Past 20 years and future 20 years
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Knowledge Acquisition in Practice: A Step-By-Step Guide
Knowledge Acquisition in Practice: A Step-By-Step Guide
A critical review of Knowledge-Based Engineering: An identification of research challenges
Advanced Engineering Informatics
Hackers & painters
Knowledge-based support in Non-Destructive Testing for health monitoring of aircraft structures
Advanced Engineering Informatics
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Knowledge based engineering (KBE) is a relatively young technology with an enormous potential for engineering design applications. Unfortunately the amount of dedicated literature available to date is quite low and dispersed. This has not promoted the diffusion of KBE in the world of industry and academia, neither has it contributed to enhancing the level of understanding of its technological fundamentals. The scope of this paper is to offer a broad technological review of KBE in the attempt to fill the current information gap. The artificial intelligence roots of KBE are briefly discussed and the main differences and similarities with respect to classical knowledge based systems and modern general purpose CAD systems highlighted. The programming approach, which is a distinctive aspect of state-of-the-art KBE systems, is discussed in detail, to illustrate its effectiveness in capturing and re-using engineering knowledge to automate large portions of the design process. The evolution and trends of KBE systems are investigated and, to conclude, a list of recommendations and expectations for the KBE systems of the future is provided.