作者: Sicco Pier van Gosliga , Imelda van de Voorde
DOI:
关键词: Artificial intelligence 、 Construct (philosophy) 、 Data science 、 Causal model 、 Bayesian network 、 Intelligent decision support system 、 Software design pattern 、 Decision support system 、 Design pattern 、 Computer science 、 Knowledge engineering
摘要: This article discusses a design pattern for building belief networks application domains in which causal models are hard to construct. In this approach we pursue modular network structure that is easily extended by the users themselves, while remaining reliable decision support. The Hypothesis Management Framework proposed here pragmatic attempt enable analysts and domain experts construct maintain can be used support making, without requiring advanced knowledge engineering skills.