• Explore alternative model representations, including rule-based, exemplar-based, and neural net representations.

  • Investigate the effects of various factors (e.g., salience and uniqueness of stimuli) on attention allocation strategies.

Long-Term Goals

  • Develop models of multitasking behavior in realistically complex military domains, incorporating a wide range of cognitive and motor processes that are affected by attention and resource allocation.

  • Validate such models against real-world data, especially from the military domain.

  • Expand the applicability of models of attentional allocation to other cognitive modules mentioned in this report, from memory and learning (Chapter 5) through planning and decision making (Chapters 8 and 6, respectively), to group behavior (Chapter 10) and information warfare (Chapter 11).

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