A method to coordinate network optimization of a plurality of control entities in a network by cognitive network management, wherein said plurality of control entities comprises an initiation cognitive function and at least one affected cognitive function , said method comprising initiating (S51), by said initiation cognitive function, a configuration action, wherein said configuration action comprises a change of at least one network related configuration parameter, wherein said initiating includes computing said change and activating said change in said network, transmitting, by said initiation cognitive function, a first message including a trigger for monitoring effects of said configuration action on said respective one of said at least one affected cognitive function by measuring key performance indicators to said at least one of said at least one affected cognitive function, receiving (S52), by said initiation cognitive function, from at least one of said at least one affected cognitive function, a respective cognitive function action quality indicator, wherein each of said received cognitive function action quality indicators is indicative of a quantification of said respective key performance indicators mapped into a standardized fixed action quality indicator range, and evaluating (S53), by said initiation cognitive function, said configuration action based on each of said received cognitive function action quality indicators, by handling said received cognitive function action quality indicators for consideration in an own learning process, the handling including validating, by said initiation cognitive function , each of said received cognitive function action quality indicators, and aggregating, by said initiation cognitive function, said validated cognitive function action quality indicators. initiating (S51), by said initiation cognitive function, a configuration action, wherein said configuration action comprises a change of at least one network related configuration parameter, wherein said initiating includes computing said change and activating said change in said network, transmitting, by said initiation cognitive function, a first message including a trigger for monitoring effects of said configuration action on said respective one of said at least one affected cognitive function by measuring key performance indicators to said at least one of said at least one affected cognitive function, receiving (S52), by said initiation cognitive function, from at least one of said at least one affected cognitive function, a respective cognitive function action quality indicator, wherein each of said received cognitive function action quality indicators is indicative of a quantification of said respective key performance indicators mapped into a standardized fixed action quality indicator range, and evaluating (S53), by said initiation cognitive function, said configuration action based on each of said received cognitive function action quality indicators, by handling said received cognitive function action quality indicators for consideration in an own learning process, the handling including validating, by said initiation cognitive function , each of said received cognitive function action quality indicators, and aggregating, by said initiation cognitive function, said validated cognitive function action quality indicators. validating, by said initiation cognitive function , each of said received cognitive function action quality indicators, and aggregating, by said initiation cognitive function, said validated cognitive function action quality indicators. <EOS>