The complexity of complexity
A recent discussion on Twitter on complexity triggered me to write this post. Clearly, it is a subject that is being interpreted in many (3?) ways. Complex, chaos, simple, complicated, anarchy, all terms that are being compared in order to try to understand what they (should) mean. Some argue that you can use axes and create a spectrum, where all these phenomena can be plotted upon. Others disagree with the language used, or that these levels exist for complexity. And then there are other misunderstandings or misinterpretations. For example, complexity and Complex Adaptive Systems (CAS) are not exactly the same. We’re talking about the complexity of complexity.
Good for us humans, our thinking and behavior is quite complex as well. We are able to understand complex matter, albeit when looking back. We are used to think in linear ways, especially when we try to predict things to happen. In retrospective, we are capable of understanding things (events, behavior, etc.) that can be called complex. The most important attribute of complexity is non-linearity. Quite interesting finding, when looking back to understand phenomena it seems linear, looking ahead to the future, expect non-linear behavior. Is that complexity? No, it’s just uncertainty. Quite different things. And when looking back, uncertainty is gone, one outcome emerged in favor of many, at the time possible, outcomes.
Now I’ve almost lost myself in the above paragraph. Of course, complexity is related to uncertainty. However, the range certainty-uncertainty does not classify complexity, nor does predictability. In my view, complexity can not be classified, influenced or whatever. Complexity is an attribute of the behavior of a whole, where many actors are somehow involved and influence each other.
To me, complexity is not about systems. It’s about social phenomena. We can talk about the ‘problems’ of complexity and complex behavior, rather I’d talk about the opportunities. Dave Snowden understands this very well. Like I’ve said before regarding emergence, I’d like to say the same about complexity. It’s time to accept and embrace complexity, and to develop methods to get the most out of complex social phenomena or behavior. To be able to develop these methods it is important to understand complexity, however, I think we should not try to understand complexity fully. Our understanding will become better sooner or later, but we have to deal with it now. That’s inevitable.