Artificial Intelligence, Second Edition - Bayesian

Reviewers from the International Statistical Review highlight it as a vital resource for creating human-made artifacts (AI) capable of reasoning from incomplete evidence. It is widely used by researchers in statistics, engineering, and AI to address complex problems without the "overfitting" risks common in traditional machine learning.

: Adds sections on Object-Oriented Bayesian Networks and foundational problems in Markov blanket discovery. Bayesian Artificial Intelligence, Second Edition

This edition expanded on the original text with several notable additions: This edition expanded on the original text with

: Provides discussions on common modeling errors and methods for evaluating causal discovery programs. Bayesian Artificial Intelligence, Second Edition

: Includes a dedicated chapter on Bayesian network classifiers .

: Details the mechanics of building and using networks for causal modeling , focusing on causal discovery and inference procedures.

: Discusses the practical development of probabilistic expert systems. Key Updates in the Second Edition