
For the past few weeks, we’ve been conducting experiments in the Quandary Den, a simple game simulation where the players evolve strategies. We’ve been looking at how complex solutions can evolve from simpler ones. So far, no single technical definition captures everything we mean informally by complexity, but for our purposes here I am describing a solution as more complex if it involves more distinct parts that are each individually essential. Last week we confirmed that there are neutral roads to such complexity, meaning the changes involved in going from a simpler solution to a more complex one do not change fitness and are not selected for. Nevertheless, even though we are not selecting for higher complexity either directly or indirectly, complexity always increases in these experiments. Then I identified a way in which I might have inadvertently made greater complexity more likely, and proposed a modification to our experimental setup that would mitigate that potential bias. Did the road still lead to more complex solutions? What did you find? Let’s look at my results.
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