Noise is related to lots of ants bumping into each other. It's almost like a disturbance. An ant is following a past and it bumps into another ant that has some pheromone which means the first ant will leave its original past and do something different. The consequence of that is not clear. It can be positive or negative. But when many of these somewhat random encounters leading to somewhat random decisions are being taken, if the system is large enough on the whole, the system will actually find a good solution to its problem. That's probably what we mean by noise and complex systems.
In our last episode with Tyler Marghetis, we learnt about how a complex system can tip from one state into another. But what happens when systems don't tip or fail? What makes a system robust?
In today's episode, we're talking with Karoline Wiesner, a Professor of Complexity Science in the Department of Physics and Astronomy at the University of Potsdam, Germany. She breaks down the characteristics of a robust system, through the context of an incredibly robust complex system — the ant colony.
Connect:
This show is produced in collaboration with Wavelength Creative. Visit wavelengthcreative.com for more information.