Uncertainty, Bayesian Belief Nets, and Knowledge Management
نویسنده
چکیده
Many decisions, of an entrepreneurial as well as an institutional or personal character, have to be made on the basis of incomplete or partial information about the outcomes and results and, hence, under conditions of rist and uncertainty. Among the numerous proposals for dealing with uncertainty Bayesianism has gained a prominent role. Although originally founded in decision theory, where for some it still constitutes a paragon of rational choice, Bayesian methods have become increasingly popular in recent years in statistics, in particular since the inception of Bayesian Belief Nets (BBNs), also known as Bayesian networks, now an area of lively research.
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