<P><B></B> In this first edition book, methods are discussed for doing inference in Bayesian networks and inference diagrams. Hundreds of examples and problems allow readers to grasp the information. <B></B> Some of the topics discussed include Pearl's message passing algorithm, Parameter Learning: 2 Alternatives, Parameter Learning <I>r</I> Alternatives, Bayesian Structure Learning, and Constraint-Based Learning. <B></B> For expert systems developers and decision theorists. </P>