• 主题
高级搜索  >
历史搜索 清空历史
首页> 美国政府科技报告 >Overview of the Agent-Based Modeling and Behavior Representation (AMBR) Model Comparison Project
【24h】

Overview of the Agent-Based Modeling and Behavior Representation (AMBR) Model Comparison Project

机译：基于代理的建模和行为表示（amBR）模型比较项目概述

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The Air Force Research Laboratory (AFRL) is sponsoring a series of human performance model comparisons under the Agent-based Modeling and Behavior Representation (AMBR) Model Comparison Project. The first comparison challenged the modelers to build human cognitive models of multiple task management and attention sharing, embodied in the behavior of an air traffic controller operating in a simplified ATC task. The second comparison involved modifying the human behavior representation (HBR) models and the simulation environment to operate as an HLA Federation. BBN Technologies, as the model comparison moderator, designed the experiments, provided the simplified ATC simulation environment in which the models run, and collected data on actual human operators performing the task. CHI Systems, Soar Technology, Carnegie Mellon University, and a team from AFRL's Logistics and Sustainment Division built the HBR models. This paper is the first of several presented as part of the AMBR Symposium at the 10th Annual Computer-Generated Forces and Behavior Representation Conference, and it is intended as an introduction to that set. The paper provides an overview of AFRL's rationale for investing in this line of research, makes explicit the AMBR Model Comparison's goals, describes the iterative model comparison structure chosen for accomplishing those goals, and concludes with an introduction to the first two rounds of the project.

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号