‘If Only I Would Have Done that…’
A Controlled Adaptive Network Model for Learning by Counterfactual Thinking
Conference Paper
(2021)
Author(s)
Raj Bhalwankar (Vrije Universiteit Amsterdam)
Jan Treur (Vrije Universiteit Amsterdam)
Research Group
Safety and Security Science
DOI related publication
https://doi.org/10.1007/978-3-030-79150-6_1
Final published version
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https://resolver.tudelft.nl/uuid:eb98abd4-48a6-47ec-b868-18858860c833
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Publication Year
2021
Language
English
Research Group
Safety and Security Science
Pages (from-to)
3-16
Publisher
Springer
ISBN (print)
9783030791490
Event
17th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2021 (2021-06-25 - 2021-06-27), Virtual, Online
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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.