David Schultner

💥 Our new paper (with Lucas Molleman and Björn Lindström) is now out in @NatureHumBehav 🥳 nature.com/articles/s4156… 🧠 Here, we advance a novel RL account—the Social Feature Learning (SFL) model—that explains how people learn to learn from others! 🤝 🧵👇

🎊 New paper out! In this @TrendsCognSci Forum, we (with Lucas Molleman and Björn Lindström) summarize how reward learning can lead to adaptive social learning. We also explore the broader consequences for cultural evolution: cell.com/trends/cogniti…

Altogether, we present a mechanistic account for the substantial flexibility and variability in social learning. A domain-general reward learning model shows that personal experience shapes social learning to render it adaptive Thanks to the reviewers and editorial team! 💐

Going beyond these experiments, we explore the implications of the SFL model for social learning under a variety of environmental contexts (such as spatial & environmental variability or dangerous environments, check out the full paper for these agent-based simulations and more)

💥 Our new paper (with Lucas Molleman and Björn Lindström) is now out in @NatureHumBehav 🥳 nature.com/articles/s4156… 🧠 Here, we advance a novel RL account—the Social Feature Learning (SFL) model—that explains how people learn to learn from others! 🤝 🧵👇

This research advances a mechanistic reward learning account of social learning strategies. Through experiments & simulations, it shows how people learn to learn from others, dynamically shaping the processes involved in cultural evolution. @DSchultner nature.com/articles/s4156…

Thanks to my great team! w/ @philipparnamets , Ekatarina Yarmolenko & Björn Lindström

Together, these findings show that fairness concerns & conformity jointly but independently shape moral norms. Understanding their interplay can help explain the successes & failures of third-party judgments regulating prosociality in social systems

🚨 New preprint out! 🚨 How do people make moral judgments as third parties? 👀 We show how two motivations—inequality aversion (fair = moral) ⚖️ and the common-is-moral heuristic (frequent = moral) 👨‍👩‍👧‍👧—interact to shape evaluations 🧵👇 📄 osf.io/preprints/psya…

A fantastic blog post on our recent PNAS paper! It elegantly describes our rather complex findings and discusses their implications for bias reduction. I love the AI-generated podcast version, too. Thanks to @thepeoplegeek.bsky.social! davehodges.substack.com/p/the-hidden-g…

@PNASNews @david_m_amodio This research is in conversation with our other work on observational learning of prejudice: science.org/doi/10.1126/sc…

🌻 New paper out in @PNASNews! We employ a reinforcement learning approach to understand how societal stereotypes are internalised as personal prejudice. link: pnas.org/doi/10.1073/pn… @david_m_amodio's excellent explainer 🧵 below: