{"slug": "emotion-in-an-active-inference-model-of-human-driving", "title": "Emotion in an active inference model of human driving", "summary": "Researchers introduced an expanded formulation of valence and arousal for active inference models of human driving, enabling emotion signals in continuous-state driving simulations. The approach, which conditions affective estimates on predicted future outcomes, was evaluated in two interactive driving scenarios and produced emotion patterns matching those reported in similar real-world situations.", "body_md": "arXiv:2608.07480v1 Announce Type: new\nAbstract: Active inference has emerged as a principled framework for modeling adaptive behavior by balancing goal-directed action with uncertainty reduction. It has been successfully applied across biological and artificial systems, including recent work on human driving. However, existing active inference models of driving have yet to address an important determinant of behavior in traffic: affective state, which significantly influences decision-making. Prior work in non-traffic domains has explored active inference agents in which emotions are represented along the axes of valence and arousal in the circumplex model. However, this work has been limited to simplified settings with discrete state spaces. In this work, we propose an expanded formulation of valence and arousal that can be extracted from a more complex active inference model of driving with continuous states. In particular, we condition affective estimates not only on the current state but also on predicted future outcomes. We evaluate the proposed approach in two interactive driving scenarios and show that the resulting emotion signals correspond to affective patterns reported in similar scenarios.", "url": "https://wpnews.pro/news/emotion-in-an-active-inference-model-of-human-driving", "canonical_source": "https://arxiv.org/abs/2608.07480", "published_at": "2026-08-11 04:00:00+00:00", "updated_at": "2026-08-11 04:15:57.131292+00:00", "lang": "en", "topics": ["artificial-intelligence", "machine-learning", "ai-research"], "entities": [], "alternates": {"html": "https://wpnews.pro/news/emotion-in-an-active-inference-model-of-human-driving", "markdown": "https://wpnews.pro/news/emotion-in-an-active-inference-model-of-human-driving.md", "text": "https://wpnews.pro/news/emotion-in-an-active-inference-model-of-human-driving.txt", "jsonld": "https://wpnews.pro/news/emotion-in-an-active-inference-model-of-human-driving.jsonld"}}