Refining reasoning in qualitative probabilistic networks
نویسنده
چکیده
In recent years there has been a spate of pa pers describing systems for probabilisitic rea soning which do not use numerical probabil ities. In some cases the simple set of val ues used by these systems make it impossible to predict how a probability will change or which hypothesis is most likely given certain evidence. This paper concentrates on such situations, and suggests a number of ways in which they may be resolved by refining the representation.
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تاریخ انتشار 1995