Strategies for Generating Micro Explanations for Bayesian Belief Networks

📝 Original Info

• Title: Strategies for Generating Micro Explanations for Bayesian Belief Networks
• ArXiv ID: 1304.1524
• Date: 2013-04-08
• Authors: Researchers from original ArXiv paper

📝 Abstract

Bayesian Belief Networks have been largely overlooked by Expert Systems practitioners on the grounds that they do not correspond to the human inference mechanism. In this paper, we introduce an explanation mechanism designed to generate intuitive yet probabilistically sound explanations of inferences drawn by a Bayesian Belief Network. In particular, our mechanism accounts for the results obtained due to changes in the causal and the evidential support of a node.

💡 Deep Analysis

Deep Dive into Strategies for Generating Micro Explanations for Bayesian Belief Networks.

Bayesian Belief Networks have been largely overlooked by Expert Systems practitioners on the grounds that they do not correspond to the human inference mechanism. In this paper, we introduce an explanation mechanism designed to generate intuitive yet probabilistically sound explanations of inferences drawn by a Bayesian Belief Network. In particular, our mechanism accounts for the results obtained due to changes in the causal and the evidential support of a node.

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