Removed Sets Fusion: Performing Off The Shelf
作者： Eric Würbel , Julien Hué , Odile Papini
DOI: 10.3233/978-1-58603-891-5-94
关键词:
摘要: Merging multiple sources of information is a rising subject in artificial intelligence. Most the proposals are model-based approaches with very high computational complexity, moreover few experimentations available. This paper proposes framework for performing Removed Sets Fusion (RSF) belief bases consisting prepositional formulae. It then describes implementation RSF which stems from Answer Set Programming (ASP) and can be performed any ASP solver supporting minimize statement. finally presents an experimental study comparison.
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