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Removed Sets Fusion: Performing Off The Shelf
Julien Hué, Eric Würbel, Odile Papini
94 - 98
10.3233/978-1-58603-891-5-94
Frontiers in Artificial Intelligence and Applications
Volume 178: ECAI 2008
Abstract

Merging multiple sources of information is a rising subject in artificial intelligence. Most of the proposals are model-based approaches with very high computational complexity, moreover few experimentations are available. This paper proposes a framework for performing Removed Sets Fusion (RSF) of belief bases consisting of prepositional formulae. It then describes the implementation of RSF which stems from Answer Set Programming (ASP) and can be performed with any ASP solver supporting the minimize statement. It finally presents an experimental study and a comparison.

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