A class of generalized
proximal point algorithms based on the $A-$ maximal monotonicity is
introduced, and then it is applied to the approximation solvability
of a general class of nonlinear inclusion problems using the
generalized resolvent operator technique. This seems to be of
interest in the sense that it is application-oriented.