✦ LIBER ✦

Computer knowledge base for crystallization

✍ Scribed by P. van der Sluis; A.M.F. Hezemans; J. Kroon

Publisher: Elsevier Science
Year: 1991
Tongue: English
Weight: 781 KB
Volume: 108
Category: Article
ISSN: 0022-0248
DOI: 10.1016/0022-0248(91)90252-z

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Modeling knowledge-based anytime computa

Modeling knowledge-based anytime computation

✍ Abdel-Illah Mouaddib 📂 Article 📅 1999 🏛 Elsevier Science 🌐 English ⚖ 224 KB

This article describes a Knowledge-based Anytime Computation to design a real-time decision-making model. Such a computation combines the expressiveness and flexibility of knowledge-based systems with the real-time advantages of anytime algorithms. Anytime computation offers a simple means by which

A knowledge-based expert system for audi

A knowledge-based expert system for auditing advanced computer systems

✍ James V. Hansen; William F. Messier Jr. 📂 Article 📅 1986 🏛 Elsevier Science 🌐 English ⚖ 651 KB

Philosophical grounding and computationa

Philosophical grounding and computational formalization for practice based engineering knowledge

✍ W.P.S. Dias 📂 Article 📅 2007 🏛 Elsevier Science 🌐 English ⚖ 174 KB

Michael Polanyi's idea of tacit knowing and Martin Heidegger's concept of pre-theoretical shared practice are presented as providing a strong rationale for the notion of practice based knowledge. ArtiWcial Intelligence (AI) approaches such as ArtiWcial Neural Networks (ANN), Case Based Reasoning (CB

Knowledge-based computing systems and so

Knowledge-based computing systems and software engineering

✍ J.A. Campbell 📂 Article 📅 1986 🏛 Elsevier Science 🌐 English ⚖ 655 KB

Software engineering aims at the construction of large systems of programs that are sound and reliable in the sense that these adjectives apply to products in other areas of engineering. Some difficulties of establishing parallel between software engineering and conventional engineering are pointed

Knowledge base clustering for KBS mainte

Knowledge base clustering for KBS maintenance

✍ Lee, Ook; Gray, Paul 📂 Article 📅 1998 🏛 John Wiley and Sons 🌐 English ⚖ 601 KB

Clustering the rules in a knowledge-based system (KBS) on the basis of their static distance (lexical information) reduces the burden of understanding in the mind of the maintainer. This paper explores a clustering algorithm based on the Hopfield neural net algorithm that clusters automatically usin

Knowledge base for chip management syste

Knowledge base for chip management system

✍ X.D. Zhang; L.C. Lee; KHW Seah 📂 Article 📅 1995 🏛 Elsevier Science 🌐 English ⚖ 424 KB