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A Language for Rule-based Systems

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dc.contributor.author Kiper, James en_US
dc.date.accessioned 2008-07-22T19:31:29Z en_US
dc.date.accessioned 2013-07-10T15:06:26Z
dc.date.available 2008-07-22T19:31:29Z en_US
dc.date.available 2013-07-10T15:06:26Z
dc.date.issued 1988-09-01 en_US
dc.date.submitted 2008-03-17 en_US
dc.identifier.uri
dc.identifier.uri http://hdl.handle.net/2374.MIA/226 en_US
dc.description.abstract Expert systems are proliferating in many situations in which it is important to capture expertise in a computer system. This type of system is useful in situations in which human expertise is expensive or difficult to obtain or in which the operating environment is too dangerous for a person. Expert systems are used to address the following categories of problems: interpretation, prediction, diagnosis, design, planning, monitoring, debugging, repair, instruction, and control. [Hayes-Roth] Expert system have now moved out of the laboratory and are being used in production environments. Herein lies the problem addressed by this research. Expert systems have traditionally been used in a research environment in which the software engineering of the product is not particularly important. Production environments are much more demanding. The quality necessary for continual use and abuse is not generally built into research quality expert systems. The problem is further exacerbated when an expert system is to be embedded in an autonomous system for which human interaction is difficult. (For example, an expert system could be used to drive a robot in a hazardous environment. If the expert system fails, it may not be easy for a human to reach the robot for repair.) Quality in these situations is vital. en_US
dc.title A Language for Rule-based Systems en_US
dc.type Text en_US
dc.type.genre Report en_US


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