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Developing Metacognitive Models for Team-Based Dynamic Environment Using Fuzzy Cognitive Mapping

机译:使用模糊认知映射开发基于团队的动态环境的元认知模型

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In this paper, by using Fuzzy Cognitive Mapping (FCM) technique, we developed the metacognitive models for team-based dynamic environment. Preliminary findings from our metacognitive studies provided a possible meta-cognitive framework in dynamic control tasks [1, 2]. By analyzing metacognition, performance, and communication data between team, we are able to develop the team-based evolving metacognitive models for the dynamic environments using a fuzzy cognitive map. In this research, a human-in-the-loop simulation experiment was conducted to collect communication data, objective performance data (operator on-time action performance), and subjective rating data (retrospective confident metacognitive judgment) from 6 dyads (12 participants). Within the Anti-Air Warfare Coordinator (AAWC) simulation domain, the simulation test bed provides an interactive simulating condition in which the monitoring team must communicate with their team member to defend their ship against hostile aircraft.
机译:本文通过采用模糊认知映射(FCM)技术,我们开发了基于团队的动态环境的元认知模型。我们的元认知研究中的初步结果提供了动态控制任务中可能的元认知框架[1,2]。通过分析团队之间的元记高,性能和通信数据,我们能够使用模糊认知地图开发用于动态环境的基于团队的演化元认知模型。在这项研究中,进行了一个人在线仿真实验,以收集来自6个Dyads(12名参与者)的通信数据,客观性能数据(操作员按时行动性能)和主观评级数据(回顾性的信心数据判断) 。在防空战斗协调员(AAWC)仿真域中,仿真试验床提供了一个互动模拟条件,其中监测团队必须与其团队成员沟通,以防御其敌对飞机的船舶。

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