In this paper 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 and the learning and control involved.
|Title of host publication||Artificial Intelligence Applications and Innovations|
|Subtitle of host publication||17th IFIP WG 12.5 International Conference, AIAI 2021, Hersonissos, Crete, Greece, June 25–27, 2021, Proceedings|
|Editors||Ilias Maglogiannis, John Macintyre, Lazaros Iliadis|
|Publisher||Springer Science and Business Media Deutschland GmbH|
|Number of pages||14|
|ISBN (Print)||9783030791490, 9783030791520|
|Publication status||Published - 2021|
|Event||17th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2021 - Virtual, Online|
Duration: 25 Jun 2021 → 27 Jun 2021
|Name||IFIP Advances in Information and Communication Technology|
|Conference||17th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2021|
|Period||25/06/21 → 27/06/21|
Bibliographical notePublisher Copyright:
© 2021, IFIP International Federation for Information Processing.
Copyright 2021 Elsevier B.V., All rights reserved.
- Adaptive network model
- Counterfactual thinking
- Mental model