Inverse-complexity-prescaled complexity: Difference between revisions

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This article is a cautionary tale for anyone who (as we, [[Dave Keenan]] and [[Douglas Blumeyer]] did) got temporarily seduced and totally confused about: using a [[simplicity prescaler|''simplicity'' prescaler]] inside a [[interval complexity|''complexity'']] function (that is, one that is [[Dave_Keenan_%26_Douglas_Blumeyer%27s_guide_to_RTT:_all-interval_tuning_schemes#Normifying_complexities|in (prescaled) norm form]]), ''even if'' the resultant complexity values are being reciprocated to be used for [[simplicity-weight]] [[damage]].

This article is a cautionary tale for anyone who (as we, [[Dave Keenan]] and [[Douglas Blumeyer]] did) got temporarily seduced and totally confused about: using a [[simplicity prescaler|''simplicity'' prescaler]] inside a [[interval complexity|''complexity'']] function (that is, one that is [[Dave_Keenan_%26_Douglas_Blumeyer%27s_guide_to_RTT:_all-interval_tuning_schemes#Normifying_complexities|in (prescaled) norm form]]), ''even if'' the resultant complexity values are being reciprocated to be used for [[simplicity-weight]] [[damage]]. Inverse prescaling: don't do it!

Why would someone ever want to try this? Well, we looked into it because we were curious about the limitation of all-interval tuning schemes whereby they only work with simplicity-weight damage. We wondered if there was nonetheless a way to achieve complexity-weight-like effects anyway. As you will see from this section, the answer is a very slight "sort of", but at such a cost of reasonableness that there's no way it's worth it.

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	This article is a cautionary tale for anyone who (as we, [[Dave Keenan]] and [[Douglas Blumeyer]] did) got temporarily seduced and totally confused about: using a [[simplicity prescaler\|''simplicity'' prescaler]] inside a [[interval complexity\|''complexity'']] function (that is, one that is [[Dave_Keenan_%26_Douglas_Blumeyer%27s_guide_to_RTT:_all-interval_tuning_schemes#Normifying_complexities\|in (prescaled) norm form]]), ''even if'' the resultant complexity values are being reciprocated to be used for [[simplicity-weight]] [[damage]].		This article is a cautionary tale for anyone who (as we, [[Dave Keenan]] and [[Douglas Blumeyer]] did) got temporarily seduced and totally confused about: using a [[simplicity prescaler\|''simplicity'' prescaler]] inside a [[interval complexity\|''complexity'']] function (that is, one that is [[Dave_Keenan_%26_Douglas_Blumeyer%27s_guide_to_RTT:_all-interval_tuning_schemes#Normifying_complexities\|in (prescaled) norm form]]), ''even if'' the resultant complexity values are being reciprocated to be used for [[simplicity-weight]] [[damage]]. Inverse prescaling: don't do it!

	Why would someone ever want to try this? Well, we looked into it because we were curious about the limitation of all-interval tuning schemes whereby they only work with simplicity-weight damage. We wondered if there was nonetheless a way to achieve complexity-weight-like effects anyway. As you will see from this section, the answer is a very slight "sort of", but at such a cost of reasonableness that there's no way it's worth it.		Why would someone ever want to try this? Well, we looked into it because we were curious about the limitation of all-interval tuning schemes whereby they only work with simplicity-weight damage. We wondered if there was nonetheless a way to achieve complexity-weight-like effects anyway. As you will see from this section, the answer is a very slight "sort of", but at such a cost of reasonableness that there's no way it's worth it.