A Self-Modeling Network Model Addressing Controlled Adaptive Mental Models for Analysis and Support Processes
A Self-Modeling Network Model Addressing Controlled Adaptive Mental Models for Analysis and Support Processes
复制标题
用于分析和支持过程的受控自适应心理模型的自建模网络模型
DOI：
10.25088/complexsystems.30.4.483
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
J. Treur
中科院分区：
文献类型：
--
作者：
J. Treur
在本文中，提出了一种用于人类认知分析和支持过程的自建模心理网络模型。这些认知分析和支持过程是通过内部心理模型建模的。在基础层面，模型能够基于这些内部心理模型执行分析和支持流程。为了适应这些内部心理模型，网络模型中包含一阶自我模型。此外，为了获得对这种适应的控制，还包括二阶自模型。这使得该网络模型成为二阶自建模网络模型。自适应网络模型针对受支持的汽车驾驶员的许多实际场景进行了说明。
In this paper, a self-modeling mental network model is presented for cognitive analysis and support processes for a human. These cognitive analysis and support processes are modeled by internal mental models. At the base level, the model is able to perform the analysis and support processes based on these internal mental models. To obtain adaptation of these internal mental models, a first-order self-model is included in the network model. In addition, to obtain control of this adaptation, a second-order self-model is included. This makes the network model a second-order self-modeling network model. The adaptive network model is illustrated for a number of realistic scenarios for a supported car driver.