Abstract
Mental models play a crucial role in individual and organizational learning. The adaptive mental processes involved in the development of mental models are addressed here by integrating psychological and neurological theories on mental models and the learning involved. An adaptive network model has been designed for these processes and used for simulations addressing a case study of learning to drive a car. The developed model may be valuable for different ends, like in improving individual and organizational learning, in designing virtual pedagogical agents, enhancing driver safety, and self-car-driving systems.
Original language | English |
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Title of host publication | Mental Models and their Dynamics, Adaptation and Control |
Subtitle of host publication | A Self-Modeling Network Modeling Approach |
Editors | Jan Treur, Laila Van Ments |
Publisher | Springer Nature Switzerland AG |
Chapter | 3 |
Pages | 59-79 |
Number of pages | 21 |
ISBN (Electronic) | 9783030858216 |
ISBN (Print) | 9783030858209 |
DOIs | |
Publication status | Published - 2022 |
Publication series
Name | Studies in Systems, Decision and Control |
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Volume | 394 |
ISSN (Print) | 2198-4182 |
ISSN (Electronic) | 2198-4190 |
Bibliographical note
Publisher Copyright:© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Keywords
- Instruction
- Learning
- Mental model
- Observational