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- W2904506415 abstract "The rise in autonomous system research and development combined with the maturation of computational cognitive architectures holds the promise of high-cognitive-fidelity agents capable of operating as team members for training. We report an ACT-R model capable of operating as a team member within a remotely piloted aerial system, and provide results from a first-of-its-kind controlled, randomized empirical evaluation in which teams that worked with an AST were compared against all-human teams. Our results demonstrate that ASTs can be incorporated into human teams, providing training opportunities when teammates are unavailable. We conclude with issues faced in developing ASTs and lessons learned for future and current developers." @default.
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- W2904506415 date "2019-03-01" @default.
- W2904506415 modified "2023-10-12" @default.
- W2904506415 title "Autonomous Intelligent Agents for Team Training" @default.
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- W2904506415 doi "https://doi.org/10.1109/mis.2018.2886670" @default.
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