Re-framing problems changes how we see and solve them. The intersection of scientific thought and principles parallels much of what we solve as engineers of information (e.g. uncertainty, time, distribution) and need. This talk is an interdisciplinary look at complex adaptive systems and how they innately solve things like resource distribution, growth and rebalancing. From the context of intelligence and systems, this talk will look at ideas around entropy and time, ensemble forecasting, self-organization theory, the butterfly effect, virus-human co-evolution and adaption, natural feedback loops, self-balancing, and adaptation.
