Probabilistic Networks
It’s choice—not chance—that determines your destiny.
Jean Nidetch
So far we have dealt with hard, deterministic constraints or with preferences expressed via a cost function in a constraint optimization framework. Yet, many real-life problems involve substantial uncertainty that cannot be captured by categorical constraints. The main source of uncertainty is lack of knowledge about the problem domain. This lack of knowledge may be due to user’s ignorance or due to an inherent inability to acquire the necessary knowledge. For example, in medical diagnosis, the uncertainty in precisely predicting the symptoms of a disease arises from the inability to model every factor associated with the disease.
The main ...
Get Constraint Processing now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
