Our research focuses on understanding collective behavior; how large-scale biological patterns result from the actions and interactions of the individual components of a system. We study self-organised pattern formation in a wide range of biological systems, including ants, fish schools, bird flocks, locust / cricket swarms and human crowds.
Areas of particular interest include:
• How the movement of, and interactions among, individuals produces the dynamics of the population they make up.
• Collective decision-making in groups.
• The spread, and use, of information in animal populations (information transmission across dynamic networks; social learning).
• Creating computer models (mostly individual-based) to elucidate the relationship between biological pattern forming processes over a range of spatial and temporal scales.
• Developing computer vision software to record and analyse the movement and behaviour of a large number (hundreds) of organisms (e.g. insects, fish) concurrently.
• Applying biologically-inspired algorithms to technological applications.
http://www.princeton.edu/~icouzin/
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