@inproceedings{eb98abd448a647ecb86818858860c833,
title = "{\textquoteleft}If Only I Would Have Done that…{\textquoteright}: A Controlled Adaptive Network Model for Learning by Counterfactual Thinking",
abstract = "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.",
keywords = "Adaptive network model, Control, Counterfactual thinking, Learning, Mental model",
author = "Raj Bhalwankar and Jan Treur",
year = "2021",
doi = "10.1007/978-3-030-79150-6_1",
language = "English",
isbn = "9783030791490",
series = "IFIP Advances in Information and Communication Technology",
publisher = "Springer",
pages = "3--16",
editor = "Ilias Maglogiannis and John Macintyre and Lazaros Iliadis",
booktitle = "Artificial Intelligence Applications and Innovations - 17th IFIP WG 12.5 International Conference, AIAI 2021, Proceedings",
note = "17th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2021 ; Conference date: 25-06-2021 Through 27-06-2021",
}