Qualitative Probabilistic Networks for Planning Under Uncertainty

📝 Original Info

• Title: Qualitative Probabilistic Networks for Planning Under Uncertainty
• ArXiv ID: 1304.3115
• Date: 2013-04-12
• Authors: Researchers from original ArXiv paper

📝 Abstract

Bayesian networks provide a probabilistic semantics for qualitative assertions about likelihood. A qualitative reasoner based on an algebra over these assertions can derive further conclusions about the influence of actions. While the conclusions are much weaker than those computed from complete probability distributions, they are still valuable for suggesting potential actions, eliminating obviously inferior plans, identifying important tradeoffs, and explaining probabilistic models.

💡 Deep Analysis

Deep Dive into Qualitative Probabilistic Networks for Planning Under Uncertainty.

Bayesian networks provide a probabilistic semantics for qualitative assertions about likelihood. A qualitative reasoner based on an algebra over these assertions can derive further conclusions about the influence of actions. While the conclusions are much weaker than those computed from complete probability distributions, they are still valuable for suggesting potential actions, eliminating obviously inferior plans, identifying important tradeoffs, and explaining probabilistic models.

📄 Full Content

Reference