Basic structure of paradigmatic classification.  API basically complete, working on implementations now and unit tests.  Needs observer classes written.
Beginning unit tests of classification code and multidimensional agents.  Refactored all model classes out of the test code and into a tf.models package and source tree, separate from the framework source tree.  Basic models will be included in the jar file, but one can also simply link to the framework classes and just use TF as a library (the intended mode).
Basic paradigmatic classification code working -- can intersect dimensions to form classes, identify agents with traits to a specific class correctly, and update a population's class membership and get correct class counts.  Need additional class counts and then observer code to finish up and build real models, plus some way to configure a model with a classification easily.