Extended Abstract: Combining CBR and BN using metareasoning
Houeland Tor Gunnar, Tore Bruland, Aamodt Agnar, Helge Langseth · Frontiers in artificial intelligence and applications · 2011
In complex domains, it is often necessary to determine which reasoning method would be the most appropriate for each task, and a combination of different methods has often shown the best results. We examine how two complementary reasoning methods, case-based reasoning and Bayesian networks, can be combined using metareasoning to form a more robust and better-performing system.