Tobias Gerstenberg

Thanks @dharakyu for sharing your fascinating work with us on "Interactive discovery of program-like social norms".
Dhara builds and tests computational models of how people generate structured joint action plans that balance reward, fairness, and implementation complexity.

Thank you Seda Akbiyik for sharing your work with us on "Agents, Objects, and Actions" 🕵️⚽️👏 Seda explores the neural representation of dynamic information. She finds remarkable similarities in how the brain processes physical and social interactions.

Thank you @MarleneBerke for presenting your work today on bridging the gap between mental representations and the real world 🧠__ 🗑️__🌏.

Marlene shows how building meta-cognitive capacities into artificial systems can result in better models of perception and social inference.

Thanks @xuanalogue for visiting us this week and presenting your work on "Scaling Cooperative Intelligence via Bayesian Inverse Planning".

Xuan develops sophisticated planning methods to build theories of how resource-rational agents infer mental states from others' actions.

This paper has been significantly updated -- including its title 🧑‍🏫 In "Causation, Meaning, and Communication", Ari Beller develops and tests a computational account of how people use and interpret different causal expressions (like "caused", "enabled", and "affected"). 1/3