Intermediate-Term Goals

  • 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.

Long-Term Goals

  • 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.



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