Expert systems artificial intelligence

Environment Canada, The Application of Artificial Intelligence (Expert Systems) in Environment Canada Proceedings of a Workshop Ottawa, June 1988. 

Moore, R. Lindenfelzer, P. Hawkinson, L. Matthews, B. "Process Control with the G2 Real-Time Expert System," Proc. the First International Conference on Industrial Engineering Applications of Artificial Intelligence Expert Systems. Univ. of Tennessee Space Institute, June 1988. 

Artificial Intelligence Expert and Knowledge Based Systems... 

The goal of an artificial intelligence diagnostic system is to provide the available expert advice to the user, in a time that is probably faster than the human could deliver it. A number of... 

G. F. huger, W.A. Stubblefield, Artificial Intelligence and the Eksign of Expert Systems, Benjamin/Cummings Publishing, Redwood City, CA, 1989. 

R. Forsyth and R. Rada, Machine Learning Applications in Expert Systems and Information Retrieval. Ellis Horwood Series in Artificial Intelligence. Ellis Horwood, Wiley, Chichester, 1986. 

Myers, D. R., Hurley, C. E. and Davis, J. F. A diagnostic expert system for a sequential, PLC controlled operation, in Artificial Intelligence Applications in Process Engineering. (M. Mavrovoumolis, (ed.). Academic Press, New York, 1990. 

Advances in computer science continue to serve as the basis for new extensions to software products. In particular, artificial intelligence techniques have begun to mature to the point at which they can play a role in scientific software. In the future, scientific software will incorporate expert systems technology in order to provide a new level of assistance to scientists in applying statistical and graphical techniques to data analysis. 

Expert systems appear in some ways to be the "classic" application of Artificial Intelligence. An expert system is a kind of personal advisor that engages the user in a conversation with the aim of providing help on a specialist topic. In sophisticated systems, the interaction between the expert system (ES) software and the user may be so natural that the user almost forgets that it is a computer rather than a human that is holding up the other end of the conversation. As developers of an ES usually do their best to create software that can participate in "intelligent" conversations, in order to enhance the user s confidence in the system, expert systems can seem the most human and friendly side of AI. 

Expert systems represent a branch of artificial intelligence that has received enormous publicity in the last two to three years. Many companies have been formed to produce computer software for what is predicted to be a substantial market. This paper describes what is meant by the term expert system and the kinds of problems that currently appear amenable to solution by such systems. The physical sciences and engineering disciplines are areas for application that are receiving considerable attention. The reasons for this and several examples of recent applications are discussed. The synergism of scientists and engineers with machines supporting expert systems has important implications for the conduct of chemical research in the future some of these implications are described. 

Expert systems represent a sub-discipline of artificial intelligence (AI). Before beginning a detailed discussion of such systems, I want to outline my paper so that the focus and objectives are clear. The structure of the paper is simple. I will ... 

Although the structure of the paper is simple, my goal is more complex. It is simply stated, but harder to realize I want to demystify the technology of applied artificial intelligence and expert systems. 

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