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.
Introducing Intrinsic Motivation in Elastic Decision Transformers / L. Guiducci, G.M. Dimitri, G. Palma, A. Rizzo - In: ESANN 2025[s.l] : ESANN Proceedings, 2025. - ISBN 9782875870933. - pp. 295-304 (( convegno European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning tenutosi a Bruges nel 2025.
Introducing Intrinsic Motivation in Elastic Decision Transformers
G.M. Dimitri;
2025
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.
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