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‘If Only I Would Have Done that…’: 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.
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https://hal.inria.fr/hal-03287691
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Submitted on : Thursday, July 15, 2021 - 6:11:17 PM
Last modification on : Friday, August 13, 2021 - 4:29:53 PM
Long-term archiving on: : Saturday, October 16, 2021 - 7:08:01 PM

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Raj Bhalwankar, Jan Treur. ‘If Only I Would Have Done that…’: A Controlled Adaptive Network Model for Learning by Counterfactual Thinking. 17th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Jun 2021, Hersonissos, Crete, Greece. pp.3-16, ⟨10.1007/978-3-030-79150-6_1⟩. ⟨hal-03287691⟩

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