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#frAIday hybrid
The speaker will participate by link. You can participate via the link or watch the lecture in Galaxen at Umeå University. Welcome!
Abstract
This talk proposes a Temporal Difference Reinforcement Learning (TDRL) Theory of Emotion, arguing that emotions are manifestations of the brain's reward processing system, specifically its assessment of temporal difference errors. I propose that emotions, ranging from basic joy and distress to more complex feelings like regret and hope, all stem from this fundamental process of evaluating changes in well-being. I supports this theory with computational modeling, psychological findings, and neurobiological evidence, exploring the implications for understanding emotion in humans, animals, and artificial intelligence. The paper also examines the role of emotions in social interactions and their evolution, emphasizing their adaptive function in promoting survival and learning. Finally, I discuss potential applications in fields like human-robot interaction.
See this Notebook LM podcast: https://notebooklm.google.com/notebook/eb321389-92b6-448a-b6bc-5170596a5ed8/audio?pli=1
If you are not already registered with #frAIday, you can do so here to receive the Zoom link
Associate Professor Joost Broekens study Artificial Intelligence, focusing on Affective Computing and human interaction with socially interactive agents. Formerly President of the Association for the Advancement of Affective Computing, he’s an associate professor at Leiden University. Co-founder of Interactive Robotics and Daisys. His research spans emotion modeling in AI, explainability, emotional expression in agents, and educational robots, with a focus on reinforcement learning and human-robot interaction.