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Course Materials

Tutorial 1: Designing a social learning environment - Charley Wu & Wataru Toyokawa

Tutorial 2: Models of social and individual learning - Charley Wu & Wataru Toyokawa

Tutorial 3: Model comparison and robustness - Charley Wu & Wataru Toyokawa

Tutorial 4: Cracking hierarchical Bayesian computational modeling with Stan – Lei Zhang

slides and code

COSMOS 2023 - Talk recordings

Meg Crofoot - Building a science of sociome

Alberto Acerbi - Agent-based models of cultural evolution

Robert Hawkins - Coordination and collective behavior

Judy Fan - Learning to coordinate on shared task abstractions

Anne Kandler - Inferring process from pattern in cultural evolution

Vivek Hari Sridhar - Collective computation across scales of biological organisation

Julian Jara-Ettinger - The computational structure of human Theory of Mind

COSMOS 2022 - Talk recordings

Tutorial 1: Designing a social learning environment – Wataru Toyokawa & Charley Wu

Tutorial 2: Models of social and individual learning – Charley Wu & Wataru Toyokawa

Tutorial 3: Model comparison and robustness – Charley Wu & Wataru Toyokawa

Iain Couzin - Employing Immersive Virtual Reality and Machine Learning
*Substitute recording due to technical issues

Stefano Palminteri - The blessing and curse of value shaping imitation

Elena Miu - Cumulative culture: the evolution of technology

Ariana Strandburg-Peshkin - Communication & collective behaviour in animal societies

Natalia Vélez - Learning from other minds: Probabilistic models of human social learning

Mark Ho - Models of multi-agent action and inference

Ralf Kurvers - The cognitive mechanisms underlying information cascades