By Daniel J. Clancy PhD (auth.), Ann Macintosh BSc, CEng, Mike Moulton BSc, Frans Coenen PhD (eds.)
Ann Macintosh Napier collage, united kingdom The papers during this quantity are the refereed software papers awarded at ES2000, the 20 th SGES overseas convention on wisdom established structures and utilized synthetic Intelligence, held in Cambridge in December 2000. The scope of the appliance papers has improved over fresh years to hide not only cutting edge purposes utilizing conventional wisdom dependent structures, but in addition to incorporate purposes demonstrating the full variety of AI applied sciences. This quantity comprises 13 refereed papers describing deployed functions or rising functions, including an invited keynote paper by way of Dr. Daniel Clancy of NASA Ames examine Centre. The papers have been topic to refereeing via no less than "expert" referees. All papers which have been debatable for a few cause have been mentioned extensive by way of the applying Programme Committee. For the appliance circulate, a paper is appropriate no matter if it describes a process which has no longer but been put in, supplied the appliance is unique and the paper discusses the categories of items that will aid others desiring to resolve the same challenge. Papers were chosen to spotlight severe parts of good fortune (and failure) and to offer the advantages and classes learnt to different builders. Papers this yr conceal subject matters as various as: KBS for keeping offshore systems; info Mining to foretell company enterprise failure; built-in AI innovations to help box provider engineers; common Language utilized to the information defense Act; wisdom administration and the appliance of neural networks.
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Additional info for Applications and Innovations in Intelligent Systems VIII: Proceedings of ES2000, the Twentieth SGES International Conference on Knowledge Based Systems and Applied Artificial Intelligence, Cambridge, December 2000
Springer-Verlag 1993. nl Abstract: Continuous Knowledge Engineering is an alternative approach to knowledge engineering that embraces the philosophy that knowledge systems are open-ended, dynamic artefacts that develop through a learning process in reaction to their environment. This approach is based on the debate on symbolic and situated models of human cognition and aims to make knowledge engineering a learning process by adherence to incremental development, participation of the expert and direct application of the knowledge system.
However, some authors promote these systems by suggesting that any explicit management of knowledge by managers is not possible anyway. 1 What has been said about KM? The following collection of statements made about knowledge management has not been attributed to any particular publication or author to avoid causing embarrassment. However, the sources are available. " ... " " ... knowledge management is an oxymoron. " Admittedly the two statements above are out of context but they do show that these authors do not believe in the possibility of explicit knowledge management.
Smith C. Knowledge Management Guidelines. NWAIAG Publication. 1998. L. Smith C. Scott S. McBriar I, Walbank S. Bain G. Unsworth P. L. Creating Knowledge Maps by Exploiting Dependent Relationships in Applications and Innovations in Intelligent Systems VII, Eds Ellis, Moulton & Coenen, Springer, 1999 pp 63-78 Graham I, Llewelyn Jones P. Expert Systems Knowledge Uncertainty and Decision. Chapman and Hall 1988 pp 20-23 Sosa E, Jaegwon K. Epistemology An Anthology. F. 1984. Conceptual Structures: Information Processing in Mind and Machine.
Applications and Innovations in Intelligent Systems VIII: Proceedings of ES2000, the Twentieth SGES International Conference on Knowledge Based Systems and Applied Artificial Intelligence, Cambridge, December 2000 by Daniel J. Clancy PhD (auth.), Ann Macintosh BSc, CEng, Mike Moulton BSc, Frans Coenen PhD (eds.)