Library · 04-mood-affect-computational

Mood / affect

TitlePeerLink
Mood as Representation of Momentumdoi.org/10.1016/j.tics.2015.07.010
Decodability of Reward Learning Signals Predicts Mood Fluctuationsdoi.org/10.1016/j.cub.2018.03.038
An Effect of Serotonergic Stimulation on Learning Rates for Rewards Apparent After Long Intertrial Intervals✓ peernature.com/articles/s41467-018-04840-2
Developmental Trajectories of Decision Making and Affective Dynamics in LLMs◦ preprintarxiv.org/abs/2601.14268
Persistent affective-state dynamics for emotionally-consistent LLM agents (damped-oscillator + momentum)◦ preprintarxiv.org/abs/2601.16087
How Emotion Shapes the Behavior of LLMs and Agents: A Mechanistic Study◦ preprintarxiv.org/abs/2604.00005
Internal Narratives Parameterise Affective States◦ preprintarxiv.org/abs/2502.09487
Serotonin Neurons Modulate Learning Rate Through Uncertaintyresearchgate.net/publication/346404631
Serotonin, reward and predictive processing (Frontiers Hum. Neurosci.)✓ peerfrontiersin.org/journals/human-neuroscience…
Valence–Arousal Subspace in LLMs: Circular Emotion Geometry & Multi-Behavioral Control◦ preprintarxiv.org/abs/2604.03147
Do LLMs "Feel"? Emotion Circuits Discovery and Control◦ preprintarxiv.org/html/2510.11328v1
From Rational Answers to Emotional Resonance: Controllable Emotion Generation◦ preprintarxiv.org/pdf/2502.04075
Latent Structure of Affective Representations in LLMs◦ preprintarxiv.org/pdf/2604.07382
Springdrift: persistent runtime for LLM agents w/ ambient self-perception◦ preprintarxiv.org/pdf/2604.04660
Average-Reward RL with Entropy Regularization (ASAC / ASQL)◦ preprintarxiv.org/html/2501.09080v1
RVI-SAC: Average Reward Off-Policy Deep RL◦ preprintarxiv.org/abs/2408.01972
Linking Homeostasis to RL (HRRL)— unrefarxiv.org/abs/2507.04998
Emergence of integrated behaviors via direct optimization for homeostasissciencedirect.com/science/article/pii/S0893…
Continuous-Time Continuous-Space Homeostatic RL (CTCS-HRRL)◦ preprintarxiv.org/abs/2401.08999
Multi-timescale reinforcement learning in the brain (Masset et al.)✓ peernature.com/articles/s41586-025-08929-9
RL²: Fast Reinforcement Learning via Slow Reinforcement Learning (Duan et al.)◦ preprintarxiv.org/abs/1611.02779
Tonic dopamine and biases in value learning linked through a biologically inspired RL model✓ peerdoi.org/10.1038/s41467-025-62280-1
PhantomFill: When the Form Demands an Answer, Language Models Invent One◦ preprintarxiv.org/abs/2607.20492