Expert computer systems

@article{Nau1983ExpertCS,
  title={Expert computer systems},
  author={Dana S. Nau},
  journal={Computer},
  year={1983},
  volume={16},
  pages={63-85}
}
  • D. Nau
  • Published 1 February 1983
  • Computer Science
  • Computer
Ordinary computer programs organize knowledge on two levels: data and program. Most expert computer systems, however, organize knowledge on three levels: data, knowledge base, and control. Computers organized in this way are often called knowledge-based svstems. On the data level is declarative knowledge about the particular problem being solved and the current state of affairs in the attempt to solve the problem. On the knowledge-base level is knowledge specific to the particular kind of… 
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This chapter provides evidence that solutions to the organization and access problem for very large knowledge bases require the employment of appropriate database management methods, at least for the lowest level of description — the facts or data.
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An expert system design is presented, called the integrated diagnostic model (IDM), that integrates two sources of knowledge, a shallow, reasoning-oriented, experiential knowledge base and a deep, functionally oriented, physical knowledge base.
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A unified approach will not only accelerate the knowledge acquisition and organization process, but will also formalize and structure the decision making process by reducing the biases of experts.
Application of Expert Systems in the Sciences
  • Computer Science
  • 2006
TLDR
This paper provides an overview of this technology, highlights the major characteristics of expert systems, and reviews several systems developed for application in the area of science.
Research Review: Application of Expert Systems in the Sciences
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This paper provides an overview of this technology, highlights the major characteristics of expert systems, and reviews several systems developed for application in the area of science.
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