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An expert system applies the deduction rules in its knowledge base to a set of initial data to reach a conclusion. When the initial data are insufficient, the expert system may ask the user for additional information. This paper analyzes effectiveness and efficiency of question-asking strategies in expert systems with Horn clause knowledge bases. An(More)
This article shows the results of a study of the cyberbullying and cyberstalking experiences of students at a public liberal arts college. A survey was administered online to sophomores, juniors, seniors, and graduate students at the college. The prevalence rates were 10% for cyberbullying and 9% for cyber-stalking, shown in the sample of 471 respondents.(More)
  • Jinchang Wang
  • 2005
In many applications of knowledge-based systems, initially given data are often not sufficient to reach a conclusion and more data are needed. A question-selection algorithm is to identify missing information and select proper questions to ask. We present a question-selection algorithm for propositional knowledge-based systems, which aims at asking more(More)
In many applications of knowledge based systems, the initial data are insufficient to fulfill inference. In that case, knowledge based systems ask users questions in order to acquire more information. When and what to ask is determined by a question-asking strategy. This paper deals with question-asking strategies for a Horn system in which the response(More)