An Algorithm for Computing Probabilistic Propositions

📝 Original Info

• Title: An Algorithm for Computing Probabilistic Propositions
• ArXiv ID: 1304.2754
• Date: 2013-04-11
• Authors: Researchers from original ArXiv paper

📝 Abstract

A method for computing probabilistic propositions is presented. It assumes the availability of a single external routine for computing the probability of one instantiated variable, given a conjunction of other instantiated variables. In particular, the method allows belief network algorithms to calculate general probabilistic propositions over nodes in the network. Although in the worst case the time complexity of the method is exponential in the size of a query, it is polynomial in the size of a number of common types of queries.

💡 Deep Analysis

Deep Dive into An Algorithm for Computing Probabilistic Propositions.

A method for computing probabilistic propositions is presented. It assumes the availability of a single external routine for computing the probability of one instantiated variable, given a conjunction of other instantiated variables. In particular, the method allows belief network algorithms to calculate general probabilistic propositions over nodes in the network. Although in the worst case the time complexity of the method is exponential in the size of a query, it is polynomial in the size of a number of common types of queries.

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