An Analysis of Expert Thinking

Article Abstract:

Expert thinking can be categorized in five major components- learning, understanding, ability to propagate effects, conflict handling and justification of opinion. Expertise, whether human or a system, produces a functional image of the world. The image is built by combining primitive understanding blocks, through knowledge-handling techniques, and being interactively guided by user's questions about that image. The expert system design must account for the nature of the subject matter, how it conveys information about itself, how the user interprets the information, where the user's view differs from the functional image and how to resolve those conflicts. The expert, or system, should be a tool to aid the user in making decisions by giving consequences of various opinions.

Information systems, User Interface, User interfaces (Computers), Computer Learning, Decision Making, Content Analysis, Question Answering, Theory, Common-Sense Reasoning

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Using an Expert System in Merging Qualitative and Quantitative Data Analysis

Article Abstract:

Expert systems are typically designed to deal with symbolic data not complex numerical computations. In some applications, such as geology or chemistry, it is necessary to use the results of numerical data analysis in decisions. A project combining numerical processing with an expert system is described. The LITHO project is a petroleum geology expert system which interprets geological information. The system does numerical calculations and merges the symbolic data with the numerical data. the use of a decision module to interpret results is discussed.

Numerical analysis, Decision support systems, Geology, Decision Support Software

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On the Application of Expert Systems

Article Abstract:

Many articles have been published on the construction and techniques used with expert systems. This article discusses the issues involved with the applications of expert systems. The advantages, limitations, benefits and roles of expert systems in real-world applications are examined. The development of one expert system shows how real-life applications influence the design of a system. The differences between deep and wide domains of expertise are discussed.

Systems development, System Development, Applications, Limitations, Rule-Based System

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