Bayesian Networks are an important area of research and application within the
domain of Artificial Intelligence. This paper explores the nature and implications for Bayesian
Networks beginning with an overview and comparison of inferential statistics with Bayes’
Theorem. The nature, relevance and applicability of Bayesian Network theory for issues of
advanced computability form the core of the current discussion. A number of current applications
using Bayesian networks are examined. The paper concludes with a brief discussion of the
appropriateness and limitations of Bayesian Networks for human-computer interaction and
automated learning.
