1. A computer implemented method to automatically classify a plurality of objects in a computer system by observing a role model, the method comprising: receiving an exploration tree, wherein: said exploration tree represents a plurality of view sequences associated with the role model, a plurality of nodes of the exploration tree represents a plurality of views, a view represents features from a plurality of features of said plurality of objects, and a plurality of leaves of the exploration tree represents a plurality of classes; assessing an object in a view sequence of said plurality of view sequences by said role model to submit a class decision, wherein said view sequence is succession of one or more views of said plurality of views, said one or more views are assessments of one or more subsets of features of said object in order of assessment; receiving said class decision, wherein said class decision is a classification of said object of the plurality of objects to a class of said plurality of classes; the computer expanding said exploration tree based on said class decision by: merging said view sequence from said plurality of view sequences to said exploration tree; the computer constructing a decision tree based on said exploration tree; and classifying said plurality of objects to said plurality of classes based on said decision tree.