‘If Only I Would Have Done that…’: A Controlled Adaptive Network Model for Learning by Counterfactual Thinking - Artificial Intelligence Applications and Innovations Access content directly
Conference Papers Year : 2021

‘If Only I Would Have Done that…’: A Controlled Adaptive Network Model for Learning by Counterfactual Thinking

Raj Bhalwankar
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Jan Treur
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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.
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hal-03287691 , version 1 (15-07-2021)

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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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