Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence (2013)

TL;DR

This paper compiles research presented at the 29th UAI conference, focusing on advances in managing uncertainty within artificial intelligence systems, including theoretical, empirical, and methodological contributions.

Contribution

It provides a comprehensive overview of recent developments in uncertainty reasoning and decision-making in AI from the 2013 conference.

Findings

Introduction of new uncertainty modeling techniques

Empirical evaluations of AI decision algorithms

Theoretical insights into probabilistic reasoning

Abstract

This is the Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, which was held in Bellevue, WA, August 11-15, 2013