ic ▁inter ference , ▁by ▁making ▁a ▁net ' s ▁responses ▁to ▁new ▁classes ▁as ▁consistent ▁as ▁possible ▁with ▁existing ▁responses ▁to ▁classes ▁already ▁learned . ▁ ▁El astic ▁weight ▁cons olid ation ▁ ▁Kirk pat rick ▁et ▁al . ▁( 2 0 1 7 ) ▁demonstrated ▁a ▁method ▁to ▁train ▁a ▁single ▁artificial ▁neural ▁network ▁on ▁multiple ▁tasks ▁using ▁a ▁technique ▁called ▁el astic ▁weight ▁cons olid ation . ▁ ▁An ap o ies is ▁Pract opo iet ic ▁theory ▁propos es ▁that ▁bi ological ▁systems ▁solve ▁the ▁problem ▁of ▁cat ast roph ic ▁inter ference ▁by ▁storing ▁long - term ▁mem ories ▁only ▁in ▁a ▁general ▁form , ▁not ▁applicable ▁to ▁a ▁given ▁situation ▁but ▁instead ▁lo os ely ▁applicable ▁to ▁a ▁class ▁of ▁different ▁situations . ▁In ▁order ▁to ▁adjust ▁the ▁lo os ely ▁applicable ▁knowledge ▁to ▁the ▁given ▁current ▁situation , ▁the ▁process ▁of ▁an ap o ies is ▁is ▁applied . ▁An ap o ies is ▁stands ▁for ▁" re const ruction ▁of ▁knowledge " — transform ing ▁knowledge ▁from ▁a ▁general ▁form ▁to ▁a ▁specific ▁one . ▁Pract opo iet ic ▁theory ▁is ▁founded ▁in ▁the ▁the or ems ▁of ▁cy ber net ics ▁and ▁is ▁concerned ▁with ▁the ▁question ▁of ▁how ▁cy ber net ic ▁systems ▁obtain ▁their ▁capabilities ▁to ▁control ▁and ▁act . ▁ ▁References ▁ ▁Category : Art ific ial ▁neural ▁networks ▁Category : Art ific ial ▁intelligence ▁Category : Machine ▁learning <0x0A> </s> ▁H erman ▁G . ▁Wein berg ▁( 9 ▁August ▁