Computer ScienceScientific Reports
A generic self-learning emotional framework for machines
A. Hernández-marcos and E. Ros
The paper proposes that emotions are distinct temporal patterns in key environmental values and introduces a fully self-learning emotional framework for AI. An artificial neural network trained on unlabeled agent experiences learned eight basic emotional patterns that mirror natural dynamics and were validated by human ratings. This research was conducted by Alberto Hernández-Marcos and Eduardo Ros.
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