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Basic Properties of Class Hierarchies regarding Probability Distributions

By Wenyun Quan, Patrick Bommel and Peter J. F. Lucas


Concepts from object orientation have been applied to many fields to facilitate solving complex realworld problems. Medicine is an example of such a complex field, where, however, also the modeling of uncertainty is of major importance. It is our belief that object orientation can also play a role in the medical field to make representing and reasoning with uncertain knowledge easier. However, there is little known about how ideas from object orientation affect the specification and use of probability distributions. In this paper it is studied in what way structured probabilistic models can be organized in class hierarchies. We will provide a theoretical foundation of probabilistic models with object orientation, which are called probabilistic class hierarchies. This is expected to offer a basis for the modeling of complex problems, such as those in medicine, from which the examples used in this paper come

Topics: class hierarchies, probabilistic networks, object-oriented models, disease modeling
Year: 2013
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