Business applications of artificial intelligence knowledge based expert systems

1986 ◽  
Vol 2 (3) ◽  
pp. 173-185 ◽  
Author(s):  
Martin L. Ernst ◽  
Helen Ojha
1987 ◽  
Vol 2 (4) ◽  
pp. 287-295
Author(s):  
Jean-Claude Rault

AbstractLike other industrialized countries, France is currently enjoying a vogue for artificial intelligence and, generally, for hardware and software components and structures which will be needed for the design and implementation of the computer applications of the 1990s.Since public announcement of MITI's Fifth Generation Project in October 1981, the French scientific and industrial communications have exhibited increasing enthusiasm for AI languages, expert systems, man-computer interaction, novel computer architectures, and knowledge-based computer systems as a whole. The choice of the Prolog language for the Japanese project has stimulated many French industrialists to be aware of the existence of a basic AI tool designed mainly in France.In spite of the present fashion, often maintained by the journalistic milieu, it would be inaccurate to say that the French fifth generation project goes back to the Japanese announcement. The MITI project has certainly been a catalyst of ministerial and industrial awareness, but the bulk of ongoing projects stem from earlier work most often funded by government agencies.In spite of the current thrust in AI and the centralizing habit in France, a “flagship” AI project cannot be identified. French Research and Development initiatives in artificial intelligence in general, and expert systems in particular, correspond more to a set of distinct projects. These frequently complement each other in technical scope and in their scientific and industrial objectives.


Author(s):  
P. SUETENS ◽  
A. OOSTERLINCK

Expert systems and image understanding have traditionally been considered as two separate application fields of artificial intelligence (AI). In this paper it is shown, however, that the idea of building an expert system for image understanding may be fruitful. Although this paper may serve as a framework for situating existing works on knowledge-based vision, it is not a review paper. The interested reader will therefore be referred to some recommended survey papers in the literature.


2011 ◽  
Vol 3 (3) ◽  
pp. 97
Author(s):  
Vivek Shah

One of the current terms in decision support methodologies is Artificial Intelligence (AI). The search for AI, particularly in potential business applications, targets techniques which collectively results in expert systems. The purpose of this article is to identify an expert system and explain how this rapidly emerging technology can be used in a commercial environment.


1984 ◽  
Vol 28 (1) ◽  
pp. 73-77 ◽  
Author(s):  
Bruce W. Hamill

Recent advances in the artificial intelligence technology of knowledge-based expert systems have captivated the imaginations of designers, sponsors, and suppliers of computer-based systems in government and industry as well as researchers in university and non-profit laboratories where the technology originated. An expert system is essentially a way to capture the knowledge and expertise of a subject-matter expert and transfer it to a computer program in hopes of creating an “intelligent” computer system that will emulate the problem-solving and decision-making performance of the expert. Such systems are being built to serve as intelligent advisors and decision aids in a wide variety of application areas. We discuss conceptual issues underlying expert system design, with references to current psychological and artificial intelligence literature, and urge Consideration of these issues before undertaking development of expert systems.


Robotica ◽  
1985 ◽  
Vol 3 (4) ◽  
pp. 279-287 ◽  
Author(s):  
P. T. Rayson

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.


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