A Self-Modeling Network Model Addressing Controlled Adaptive Mental Models for Analysis and Support Processes

2021 ◽  
Vol 30 (4) ◽  
pp. 483-512
Author(s):  
Jan Treur ◽  
Keyword(s):  
Mental Models ◽  
Network Model ◽  
Second Order ◽  
Cognitive Analysis ◽  
Adaptive Network ◽  
First Order ◽  
Base Level

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.

A Second-Order Adaptive Network Model for Shared Mental Models in Hospital Teamwork

2021 ◽  
pp. 126-140
Author(s):  
Laila van Ments ◽  
Jan Treur ◽  
Jan Klein ◽  
Peter Roelofsma
Keyword(s):  
Mental Models ◽  
Network Model ◽  
Second Order ◽  
Shared Mental Models ◽  
Adaptive Network

scholarly journals Modeling learner-controlled mental model learning processes by a second-order adaptive network model

PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0255503
Author(s):  
Rajesh Bhalwankar ◽  
Jan Treur
Keyword(s):  
Network Model ◽  
Learning Process ◽  
Mental Model ◽  
Second Order ◽  
Process Models ◽  
Adaptation Process ◽  
Model Learning ◽  
Network Adaptation ◽  
First Order ◽  
Learning By Observation

Learning knowledge or skills usually is considered to be based on the formation of an adequate internal mental model as a specific type of mental network. The learning process for such a mental model conceptualised as a mental network, is a form of (first-order) mental network adaptation. Such learning often integrates learning by observation and learning by instruction. For an effective learning process, an appropriate timing of these different elements is crucial. By controlling the timing of them, the mental network adaptation process becomes adaptive itself, which is called second-order mental network adaptation. In this paper, a second-order adaptive mental network model is proposed addressing this. The first-order adaptation process models the learning process of mental models and the second-order adaptation process controls the timing of the elements of this learning process. It is illustrated by a case study for the learner-controlled mental model learning in the context of driving a car. Here the learner is in control of the integration of learning by observation and learning by instruction.

scholarly journals On Becoming a Conspiracy Thinker: A Second-Order Adaptive Network Model

2021 ◽  
Vol 190 ◽  
pp. 51-63
Author(s):  
Tijmen Beemster ◽  
Nathalie Bijleveld ◽  
Jan Treur
Keyword(s):  
Network Model ◽  
Second Order ◽  
Adaptive Network
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