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'''[[Complicated system]]s''': | '''[[Complicated system]]s''': Unlike [[simple system]]s, [[complicated system]]s need skilled management and some [[subject matter expert|expertise]] to operate — a school leaver in 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 the degree of 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 system|complicated]], but not [[Complex systems|complex]], systems. You can “force-solve” them, at least in theory.<ref>Do you hear that, {{author|Daniel Susskind}}?</ref> They are entirely predictable, determinative and calculable, given enough processing power. They’re [[tame problem|tame]], ''not'' [[wicked problem]]s. | ||
Revision as of 21:10, 3 August 2020
Complicated systems: Unlike simple systems, complicated systems need skilled management and some expertise to operate — a school leaver in 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 the degree of 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.[1] They are entirely predictable, determinative and calculable, given enough processing power. They’re tame, not wicked problems.
- ↑ Do you hear that, Daniel Susskind?