Mechanistic Theory of Social Foraging

Watch a 40-minute lecture from the IPAM's Modeling Multi-Scale Collective Intelligences Workshop where Ahmed El Hady from the University of Konstanz explores the quantitative framework of patch foraging behavior. Discover how animals employ various cognitive computations during food searches, from decision-making to planning and learning, while adjusting their bodily dynamics. Examine recently developed mechanistic theoretical models that explain different decision strategies animals use when leaving food patches across various environments. Learn how these models extend to social foraging contexts and can be applied to field data from different species to understand diverse foraging strategies. Explore the integration of theoretical models, field studies, and large-scale naturalistic experiments shaping the future of social foraging research.