Success And Failure Of Expert Systems In Different Fields Of Industrial Application (with R. Bachmann, S. Ziegler) (original) (raw)

A Survey of Expert System Projects

2009

A pioneer in commercializing expert system technolo gy, Teknowledge released two so-called "expert system shells" in mid-1984. It soon became pparent that product customers were using these tools in ways that differed from what the dev elopers envisioned. Even internal to Teknowledge, there was considerably controversy ove r the value of these tools. The debate centered on the tradeoffs between the leverage they provided for certain portions of the system development task and the restrictions they imposed n the ways knowledge could be represented.

Guide for the Management of Expert Systems Development. Additional Appendixes

1989

: This appendix provides assistance in selecting the most appropriate tool for a particular expert system development project. A strong foundation in the usage of any specialized tool (e.g., chemical assay equipment or an expert system shell) is prerequisite to tool selection. Familiarity and reasonable facility with expert systems technology and knowledge engineering are necessary prior to applying the techniques presented in this appendix. This appendix outlines a selection method that was adapted from one developed at The RAND corporation for expert system tool evaluation. It is applicable after the decision has been made that such a tool is needed and the characteristics of that need are known. In particular, this involves (1) understanding the problem that shows potential for applied expert system technology and (2) choosing the best solution alternative. The term expert system means a system built using a knowledge-based approach to software development that applies expert kno...

Expert Systems: A Technology Before Its Time 1

The commercial rollout of expert systems has not been what we envisioned back in 1980, but things are not as bad as they seem. True, investors lost big money in expert systems start-up companies. And, yes, many people's careers, both AI research folk and corporate technologists, took a serious detour. And the trade press has indeed used the words "another AI" as a metaphor to describe other overly-hyped new technologies. Yet, people are still selling, using and benefiting from commercial applications, including new types of applications we hadn't imagined. The current press coverage is positive and relatively well-informed. 2 Furthermore, as standard-issue PC's become more powerful and more networked, the potential platform for knowledge-enabled applications, which once required high-end workstations and avant-garde systems integration, is mushrooming. And the mystery and magic of AI's mind-machine dream is still quite alive in stubborn old-timers and, more...

DEVELOPMENT OF EXPERT SYSTEMS METHODOLOGIES AND APPLICATIONS

In this particular paper we survey development of Expert System by methodologies and applications from 2005 to 2015 via a literature review of a theoretical and classification papers as a basis. The survey has actually been Dependent on a search in the papers for ‘Expert System’ in the Elsevier and IEEE. In accordance with coverage of 58 articles on Expert System applications, this paper surveys and classifies Expert System methodologies using two categories: Rule-based systems (RBS), Knowledge-based systems (KBS) along with their applications for various research and problem domains. In addition to, discussion has actually been presented, and it also suggests that, the subsequent trends is required to be taken into note very soon regarding the development of Expert Systems in methodologies and applications: first, Expert Systems methodologies are destined to develop through the use of expertise of Expert System applications in the domain. Secondly, it is suggested that different social science methodologies has got to be include to provide more opportunity for explore the methods that used to development of systems. Thirdly, the ability to continually change and get new understanding is the driving power of Expert System methodologies, and will be the Expert Systems applications of future works.

A review of expert systems principles and their role in manufacturing systems

Robotica, 1985

SUMMARYThe objectives of this paper are twofold: The first is to briefly review for manufacturing engineers some of the early work undertaken by Artificial Intelligence researchers and the issues addressed which have culminated in today's “expert systems’ or ‘intelligent knowledge based systems’ (IKBS), as they are becoming known.The second is to indicate some early applications in manufacturing and to point out that any major success in this field requires long-term commitment, in depth familiarity with A.I. techniques and access to A.I. development tools, all of which are currently in short supply internationally.