Extended Abstract: Combining CBR and BN using metareasoning

T. Houeland, Tore Bruland, A. Aamodt, H. Langseth
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引用次数: 1

Abstract

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.
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应用元推理将CBR和BN相结合
在复杂的领域中,通常有必要确定哪种推理方法最适合每个任务,并且不同方法的组合通常会显示出最佳结果。我们研究了两种互补的推理方法,基于案例的推理和贝叶斯网络,如何使用元推理结合起来,形成一个更健壮、性能更好的系统。
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