Template:Complicated capsule

Complicated systems: Unlike simple systems, complicated systems require interaction with autonomous agents whose specific behaviour is beyond the user's control, and might be intended to defeat the user’s objective, but whose range of behaviour is entirely deterministic. Each autonomous agent’s range of possible actions and reactions can be predicted in advance. At least, in theory.

For example chess — or, for that matter, any boardgame or sport.

Complicated systems therefore benefit from skilled management and some expertise to operate: a good chess player will do better than a poor one — a school-leaver from Bucharest with plenty of coffee and a playbook on her lap probably isn’t the droid you’re looking for — but in the right hands can usually be managed without catastrophe, though the degree of success will be a function of user’s skill and expertise.

You know you have a complicated system when it cleaves to a comprehensive set of axioms and rules, and thus it is a matter of making sure that the proper models are being used for the situation at hand. Chess and Alpha Go are complicated, but not complex, systems. You can “force-solve” them, at least in theory. They are entirely predictable, determinative and calculable, given enough processing power. They’re tame, not wicked problems.