Proceedings Article10.1109/AISIG.1990.63807
Technology transfer utilizing automated knowledge acquisition tools
Gerald L. Atkinson
- 06 May 1990
- pp 88-93
TL;DR: An application for expert systems that takes advantage of their capability to improve productivity and carry out technology transfer is described, and six expert systems have been developed which demonstrated productivity improvements by a factor to 10 to 30 in a prototype demonstration.
read more
Abstract: An application for expert systems that takes advantage of their capability to improve productivity and carry out technology transfer is described There is a vast need for routine reporting on the evaluation of the capability of weapon systems to withstand the effects of nuclear weapons Six expert systems have been developed which demonstrated productivity improvements by a factor to 10 to 30 in a prototype demonstration These expert systems evaluate the hardness of a weapon system to nuclear weapon effects and produce reports on hardness planning, test planning and reporting, and hardness assurance/maintenance throughout their life cycle The expert systems are constructed and maintained by the interaction of a technical domain expert and the KNACK software, an automated knowledge acquisition tool KNACK is a special-purpose expert system generator or shell which allows the domain expert to construct an expert system of the type discussed while having no particular knowledge of any programming language, syntax, artificial intelligence representation scheme, or any particular computer science training >
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Patent
System and method for performing a mindflow process
Jayaram P. Reddy
- 09 Aug 1999
TL;DR: In this article, a memory coupled with a processor is used to store a knowledge item generated by a first knowledge worker in the memory based upon the results of a first query session with a second knowledge worker.
15
Knowledge-based technology transfer: hybrid architectures of rules, case-based reasoning and neural nets
TL;DR: The question this paper addresses is the knowledge representation and inferencing mechanism most suitable for knowledge transfer and the benefits of using hybrid configurations consisting of rule-based expert systems, case-based reasoning, and neural nets.
4
AI-based generation of production engineering labor standards
TL;DR: A prototype expert system which transfers the knowledge of experienced methods engineers into a rule-based system to develop the appropriate job elements and standard times for each engineering task is presented.
3
References
Automating Knowledge Acquisition for Expert Systems
Sandra Marcus
- 01 Jan 1988
TL;DR: This book describes the principles that guided the expert systems research group's work, looks in detail at the design and operation of each tool or methodology, and reports some lessons learned from the enterprise.
400
Towards a Taxonomy of Problem Solving Types
TL;DR: In this article, the authors propose a framework for expert system design, in particular about how the domain knowledge may be decomposed into substructures, and corresponding to each is a separate substructure specializing in that type of problem-solving.
282
The Role of Heuristics in Learning by Discovery: Three Case Studies
Douglas B. Lenat
- 01 Jan 1983
TL;DR: In this paper, the authors propose to use heuristics to guide "learning by discovery" in artificial intelligence systems, which is similar to the evolutionary process of natural language processing.
200
KNACK—report-driven knowledge acquisition
Georg Klinker,Joel Bentolila,Serge Genetet,Michael Grimes,John McDermott +4 more
- 01 Jan 1987
TL;DR: A knowledge-acquisition tool that builds expert systems for evaluating designs of electro-mechanical systems derives its power from exploiting its understanding of two problem-solving methods and of the different roles that knowledge plays in those two methods.
64
Related Papers (5)
K. Wescourt,C. Powell,C. Pickering,D. Whitehead +3 more
- 06 Nov 1985
J.R. Slagle,D.A. Gardiner +1 more
Y. Kono,H. Suzuki,K. Matsumoto +2 more
- 05 Sep 1990