Validate the simulation models against complex data gathered in military domain situations.
Compare and contrast alternative models with respect to their ability to predict both laboratory and real-world data.
Within the models, integrate the storage and retrieval of generic knowledge, of episodic knowledge, and of learning.
Start the process of developing hybrid models of learning and memory, incorporating the best features of rule-based, exemplar-based, evolutionary, and neural net representations.
Develop process models of those factors treated as moderator variables.
Develop larger-scale models that are capable of handling explicit, generic, and implicit memory and learning and are applicable to complex real-world situations.
Validate these models against real-world data.
Begin to explore the effects of learning, memory, and retrieval processes on group behavior.