A Cognitive Architecture for Mental Processes Involving Mental Models Analysed from a Self-modeling Network Viewpoint
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Publisher
Springer International Publishing
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https://link.springer.com/content/pdf/10.1007/978-3-030-90321-3_52
Reference42 articles.
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3. Bhalwankar, R., Treur, J.: Modeling the development of internal mental models by an adaptive network model. In: Proceedings of the 11th Annual International Conference on Brain-Inspired Cognitive Architectures for AI, BICA*AI’20. Procedia Computer Science. Elsevier (2021a)
4. Bhalwankar, R., Treur, J.: A second-order adaptive network model for learner-controlled mental model learning processes. In: Benito, R.M., Cherifi, C., Cherifi, H., Moro, E., Rocha, L.M., Sales-Pardo, M. (eds.) COMPLEX NETWORKS 2020 2020. SCI, vol. 944, pp. 245–259. Springer, Cham (2021b). https://doi.org/10.1007/978-3-030-65351-4_20
5. Bhalwankar, R., Treur, J.: ‘If only i would have done that…’: a controlled adaptive network model for learning by counterfactual thinking. In: Maglogiannis, I., Macintyre, J., Iliadis, L. (eds.) Artificial Intelligence Applications and Innovations: 17th IFIP WG 12.5 International Conference, AIAI 2021, Hersonissos, Crete, Greece, June 25–27, 2021, Proceedings, pp. 3–16. Springer, Cham (2021c). https://doi.org/10.1007/978-3-030-79150-6_1
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