Defining Explanation in Probabilistic Systems

📝 Original Info

• Title: Defining Explanation in Probabilistic Systems
• ArXiv ID: 1302.1526
• Date: 2013-02-08
• Authors: Researchers from original ArXiv paper

📝 Abstract

As probabilistic systems gain popularity and are coming into wider use, the need for a mechanism that explains the system's findings and recommendations becomes more critical. The system will also need a mechanism for ordering competing explanations. We examine two representative approaches to explanation in the literature - one due to G\"ardenfors and one due to Pearl - and show that both suffer from significant problems. We propose an approach to defining a notion of "better explanation" that combines some of the features of both together with more recent work by Pearl and others on causality.

💡 Deep Analysis

Deep Dive into Defining Explanation in Probabilistic Systems.

As probabilistic systems gain popularity and are coming into wider use, the need for a mechanism that explains the system’s findings and recommendations becomes more critical. The system will also need a mechanism for ordering competing explanations. We examine two representative approaches to explanation in the literature - one due to G"ardenfors and one due to Pearl - and show that both suffer from significant problems. We propose an approach to defining a notion of “better explanation” that combines some of the features of both together with more recent work by Pearl and others on causality.

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