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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