Artificial Intelligence (AI) both in general and in its current predominant version, mostly based on connectionist tenets, lives in the paradox of aiming to reproduce and simulate the workings of an immensely complex system, the biological brain, which are still to a large extent unknown. This gives us latitude for some interesting domain interplay: concepts from the cognitive sciences can be used to improve AI models, while AI can be used in data science mode to analyze cognitive processes in neuroscience, as well as brain pathologies from a medical standpoint.

Guiducci, L., Dimitri, G.M., Palma, G., Rizzo, A. (2025). Introducing Intrinsic Motivation in Elastic Decision Transformers. In ESANN 2025 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (pp.295-304).

Introducing Intrinsic Motivation in Elastic Decision Transformers

Leonardo Guiducci;Giovanna Maria Dimitri
;
Giulia Palma;Antonio Rizzo
2025-01-01

Abstract

Artificial Intelligence (AI) both in general and in its current predominant version, mostly based on connectionist tenets, lives in the paradox of aiming to reproduce and simulate the workings of an immensely complex system, the biological brain, which are still to a large extent unknown. This gives us latitude for some interesting domain interplay: concepts from the cognitive sciences can be used to improve AI models, while AI can be used in data science mode to analyze cognitive processes in neuroscience, as well as brain pathologies from a medical standpoint.
2025
9782875870933
Guiducci, L., Dimitri, G.M., Palma, G., Rizzo, A. (2025). Introducing Intrinsic Motivation in Elastic Decision Transformers. In ESANN 2025 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (pp.295-304).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11365/1291434