Complexity Explorer Santa Fe Institute

Research Group

Self-Organizing Systems Research Group

Our group is interested in self-organizing multi-agent systems, where large numbers of simple agents cooperate to produce complex and robust global behavior. We study bio-inspired programming paradigms for designing collective intelligence in robotics and sensor-actuator networks, drawing inspiration mainly from multicellular biology and social insects. We also investigate models of self-organization in biology, specifically how cells and insects cooperate to achieve complex tasks. A common theme in all of our work is understanding the relationship between local and global behavior: how does robust collective behavior arise from many locally interacting agents, and how can we program the local interations of simple agents to achieve the global behaviors we want.

Harvard University
self-organization, biologically inspired systems, multi-agent systems

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