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Titlebook: Handbook for Evaluating Knowledge-Based Systems; Conceptual Framework Leonard Adelman,Sharon L. Riedel Book 1997 Springer Science+Business

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楼主: 根深蒂固
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https://doi.org/10.1007/978-1-4842-2229-4other software in that they solve problems that can not be solved by individuals without domain specific knowledge. A second difference is that the problem has not been formally expressed as an algorithm. Finally, knowledge-based systems typically separate the knowledge base from the mechanism (e.g., inference engine) that applies that knowledge.
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https://doi.org/10.1007/978-1-349-20422-9 the different types of prototyping approaches. There are a variety of development models for knowledge-based systems, and the life cycle evaluation for a particular system should accommodate the development model being used. The next chapter shows how our conceptual framework accommodates different development models.
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The Second French Republic 1848-1852ng.” As he pointed out, “Lack of good requirements has caused the failure of multimillion dollar projects, has impeded development productivity, and has been a major contributor to the rise of software maintenance costs.”
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https://doi.org/10.1007/978-94-6300-561-6s. Knowledge base verification focuses on assessing the logical consistency and logical completeness of the knowledge base. That will be the focus of the next chapter. In contrast, knowledge base validation focuses on assessing the functional completeness and predictive accuracy of the knowledge base. This is the focus of the present chapter.
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Introduction,other software in that they solve problems that can not be solved by individuals without domain specific knowledge. A second difference is that the problem has not been formally expressed as an algorithm. Finally, knowledge-based systems typically separate the knowledge base from the mechanism (e.g., inference engine) that applies that knowledge.
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Overview: Development Models, Evaluation Dimensions, and Evaluation Models, the different types of prototyping approaches. There are a variety of development models for knowledge-based systems, and the life cycle evaluation for a particular system should accommodate the development model being used. The next chapter shows how our conceptual framework accommodates different development models.
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Knowledge Base Validation,s. Knowledge base verification focuses on assessing the logical consistency and logical completeness of the knowledge base. That will be the focus of the next chapter. In contrast, knowledge base validation focuses on assessing the functional completeness and predictive accuracy of the knowledge base. This is the focus of the present chapter.
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