Developing and Validating a Synthetic Teammate

摘要

The research was focused on the development of a synthetic teammate over the course of a year. The scientific and technical objectives were to develop and integrate computational accounts of macrocognitive processes identified as necessary for working as part of a team (e.g., language, task behavior, situation assessment/awareness, etc.). Each of the proposed project milestones have been achieved: 1) we integrated language comprehension, agent- environment interaction, and language generation components into a single system that behaves as a synthetic teammate; 2) we developed a situation component and integrated it with the synthetic teammate; 3) we continued to refine the synthetic teammate through test-develop-retest iterations; however, instead of adding humans as teammates we developed agents that were low in cognitive fidelity using systems of finite state machines that acted as the photographer and navigator.