原文传递
Separating Cognition Performance from Execution Environment (SCoPE).
| 题名： | Separating Cognition Performance from Execution Environment (SCoPE). |
| 作者： | Ortiz-Pena, H.; McConky, K.; Sudit, M. |
| 关键词： | Intelligence collection, Unmanned aerial vehicles, Lessons learned, Algorithms, Humanitarian assistance, Mathematical models, Machine learning, Disasters, Missions, Predictions, Military planning, Cognition, Human performance tests, Mission plan performance prediction, Conceptual spaces, Feature engineering, Scope(separating cognition performance from execution environment) |
| 摘要： | The goal of SCoPE was to predict mission plan performance, taking into consideration mission plan characteristics as well as cognitive and environmental factors influencing the plan. Given the large number of features that go into any one particular mission, the team proposed to use a conceptual spaces based model to identify features spaces that correspond to successful missions. To test proposed algorithms, the project initially aimed to use datasets related to HADR missions. An HADR simulation model was created using AnyLogic for the OtK program, and this model was used to generate datasets for the SCoPE program. Developing a validated simulation model, capable of generating large sets of simulation runs, proved challenging and largely unsuccessful. Highlights of the work with the HADR simulation model are presented first, including lessons learned from working with complex simulation models. |
| 报告类型： | 科技报告 |
相关文献
- Biofuels: Ethanol - Separating Fact from Fiction
- NCHRP Web-Only Document 174: Performance Measurement and Evaluation of Tolling and Congestion Pricing Projects.
- The Effects of Age and Practice on Aviation-Relevant Concurrent Task Performance.
- Unintended Consequences of Focusing on Human Error (And How You Can Help).
- Cognition and procedure representational requirements for predictive human performance models
- Conceptual Framework for Flight Test Management and Execution Utilizing Agile Development and Project Management Concepts.
检索历史
应用推荐
