ACT-R, as a useful and well-known cognitive architecture, is a theory for simulating and understanding human cognition. However, the standard version of this architecture uses a deprecated forgetting model. So, we equipped it with a temporal ratio model of memory that has been named as SIMPLE (Scale-Independent Memory, Perception, and Learning). On the other hand, one of the usages of cognitive architectures is to model the user in an Intelligent Adaptive Interface (IAI) implementation. Thus, our motivation for this effort is to use this equipped ACT-R in an IAI to deliver the right information at the right time to users based on their cognitive needs. So, to test our proposed equipped ACT-R, we designed and implemented a new IAI to control a swarm of Unmanned Aerial Vehicles (UAVs). This IAI uses the equipped ACT-R for user cognitive modeling, to deliver the right information to the users based on their forgetting model. Thus, our contributions are: equipping the ACT-R cognitive architecture with the SIMPLE memory model and using this equipped version of ACT-R for user modeling in a new IAI to control a group of UAVs. Simulation results, which have been obtained using different subjective and objective measures, show that we significantly improved situation awareness of the users using the IAI empowered by our equipped ACT-R.

中文翻译：

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为 ACT-R 认知架构配备记忆的时间比率模型并将其用于新的智能自适应界面

ACT-R作为一种有用且广为人知的认知架构，是一种模拟和理解人类认知的理论。但是，此架构的标准版本使用了已弃用的遗忘模型。因此，我们为它配备了一个名为 SIMPLE（与尺度无关的记忆、感知和学习）的时间比例记忆模型。另一方面，认知架构的一个用途是在智能自适应接口 (IAI) 实现中对用户进行建模。因此，我们进行这项工作的动机是在 IAI 中使用这种配备的 ACT-R，根据用户的认知需求在正确的时间向其提供正确的信息。因此，为了测试我们提出的装备 ACT-R，我们设计并实施了一个新的 IAI 来控制一群无人驾驶飞行器 (UAV)。该 IAI 使用配备的 ACT-R 进行用户认知建模，根据用户的遗忘模型向用户提供正确的信息。因此，我们的贡献是：为 ACT-R 认知架构配备 SIMPLE 记忆模型，并使用此配备的 ACT-R 版本在新的 IAI 中进行用户建模以控制一组无人机。使用不同的主观和客观措施获得的模拟结果表明，我们使用配备的 ACT-R 授权的 IAI 显着提高了用户的态势感知能力。