behavior representations. Such an augmented representation should incorporate, at a minimum, a module representing human perceptual processes, a module representing motor processes, a means for representing multiple active tasks (e.g., planning, decision making, communicating, moving), and a mechanism for selecting a subset of active tasks for execution at any given time. The perceptual module could be based on simple detection and identification probability data derived from existing psychological data. Similarly, the motor process module could be based on simple movement models that yield time and accuracy estimates, or on time and accuracy probabilities derived from human performance data. All current human behavior representations have some means of representing tasks, and most of these could be modified to permit the existence of more than one task at a time. The mechanism for selecting among competing tasks could be based on a simple, static priority system with task priorities derived from task analyses. Such an approach would yield simple architectures with greater face validity than that of current architectures. Although it is unlikely that such architectures would be entirely satisfactory, they would give modelers more experience in developing and validating human behavior representations.

Intermediate-Term Goals

  • Continue validation into the intermediate term as more sophisticated integrative architectures are developed. This generation of architectures can be expected to draw on the integrative architectures reviewed in this chapter, as well as newer architectures that will emerge after this report is published.

  • Continue the development of hybrid architectures, such as those described in this chapter, combining the best elements of existing and emerging integrative architectures. For such hybridization to proceed in a timely manner, it will also be necessary to conduct research and development activities to modularize existing architectures and yield interchangeable components.

  • Apply these architectures in sustained and intensive development of human behavior representations that incorporate specific military tasks in selected domains, such as tank warfare.

  • Compare the different modeling approaches by developing alternative architectures for a domain and comparing them against data from field exercises and human-in-the-loop simulations.

Long-Term Goals

  • Continue architecture validation.

  • Continue to refine new architectures created in the intermediate term.

  • In addition to continued efforts to improve the quality of existing modeling approaches, explore entirely new approaches that will result in architectures as yet unconceived.



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