  A matrix-based framework for Bayesian games is presented, using semi-tensor
product of matrices. Static Bayesian games are considered first. Matrix
expression of Bayesian games is proposed. Three kinds of conversions, which
convert Bayesian games to complete information games are investigated, certain
properties are obtained, including two kinds of Bayesian-Nash equilibriums.
Finally, dynamic Bayesian games are considered. Markoven dynamic equations are
obtained for some strategy updating rules.
