Unifying probability and logic for learning
Uncertain knowledge can be modeled by using graded probabilities rather than binary truth-values, but so far a completely satisfactory integration of logic and probability has been lacking. In particular the inability of confirming universal hypotheses has plagued most if not all systems so far. We address this problem head on. The main technical problem to be discussed is the following: Given a set of sentences, each having some probability of being true, what probability should be...[Show more]
|Collections||ANU Research Publications|
|Book Title:||IJCAI-13 Workshop on Weighted Logics for Artiticial Intelligence (WL4AI-2013)|
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