Skip navigation
Skip navigation

Unifying Probability and Logic for Learning

Hutter, Marcus; Lloyd, John; Ng, Kee Siong; Uther, William T.B.

Description

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 ascribed to...[Show more]

CollectionsANU Research Publications
Date published: 2013
Type: Conference paper
URI: http://hdl.handle.net/1885/65820
Source: IJCAI International Joint Conference on Artificial Intelligence

Download

File Description SizeFormat Image
01_Hutter_Unifying_Probability_and_Logic_2013.pdf4.25 MBAdobe PDF
02_Hutter_Unifying_Probability_and_Logic_2013.pdf239.01 kBAdobe PDF


Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  20 July 2017/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator