Abstract
In this chapter counterfactual thinking is addressed based on literature mainly from Neuroscience and Psychology. A detailed literature review was conducted in identifying processes, neural correlates and theories related to counterfactual thinking from different disciplines. A familiar scenario with respect to counterfactual thinking was identified. Based on the literature, an adaptive self-modeling network model was designed. This model captures the complex process of counterfactual thinking, the mental models that are involved, and the learning and control.
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 |
Pages | 117-138 |
Number of pages | 22 |
Volume | 394 |
DOIs | |
Publication status | Published - Jan 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
- Adaptive network model
- Control
- Counterfactual thinking
- Learning
- Mental model